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ORCID34th IJCAI 2025: Montreal, Canada
- Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, August 16-22, 2025. ijcai.org 2025
Main Track
Agent-based and Multi-agent Systems
- Natasha Alechina, Brian Logan, Giuseppe Perelli:
Synthesising Minimum Cost Dynamic Norms. 3-11 - Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev:
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. 12-20 - Davide Catta, Jean Leneutre, Vadim Malvone, James Ortiz:
Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions. 21-28 - Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li:
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments. 29-37 - Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh:
Requirement Patterns for Engineering Multiagent Interaction Protocols. 38-46 - Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti:
Responsibility Anticipation and Attribution in LTLf. 47-55 - Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Viktoriia Korchemna:
EF1 and EFX Orientations. 56-63 - Wei Du, Shifei Ding, Wei Guo, Yuqing Sun, Guoxian Yu, Lizhen Cui:
Multi-Agent Communication with Information Preserving Graph Contrastive Learning. 64-71 - Xiaoqing Fan, Chin-wing Leung, Paolo Turrini:
Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking. 72-80 - Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis:
Argument-based Multi-Issue Negotiation. 81-89 - Tianci Gao, Yuzhen Zhang, Hang Guo, Pei Lv:
SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction. 90-98 - Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan:
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning. 99-107 - Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik:
Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion. 108-116 - Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao:
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. 117-125 - Wojciech Jamroga, Michal Tomasz Godziszewski, Aniello Murano:
Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments. 126-134 - Martin Jonás, Antonín Kucera, Vojtech Kur, Jan Macák:
Steady-State Strategy Synthesis for Swarms of Autonomous Agents. 135-142 - Damian Kurpiewski, Wojciech Jamroga, Yan Kim:
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models. 143-151 - Thanh Dat Le, Lyuzhou Ye, Yan Huang:
RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation. 152-160 - Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman:
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. 161-169 - Yongheng Liang, Hejun Wu, Haitao Wang, Hao Cai:
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning. 170-178 - David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos:
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies. 179-186 - Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song:
Odyssey : Empowering Minecraft Agents with Open-World Skills. 187-195 - Vahid Mahzoon, Abigail Liu, Slobodan Vucetic:
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework. 196-204 - Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang:
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. 205-213 - Karan Muvvala, Qi Heng Ho, Morteza Lahijanian:
Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games. 214-222 - Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. 223-231 - Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson:
Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning. 232-239 - Arseni Pertzovskiy, Roni Stern, Roie Zivan, Ariel Felner:
Multi-Agent Corridor Generating Algorithm. 240-247 - Raquel Rodríguez-García, Roberto Centeno, Álvaro Rodrigo:
Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model. 248-256 - Saleh Soudijani, Rayna Dimitrova:
Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions. 257-266 - Mingkai Tang, Lu Gan, Kaichen Zhang:
Streaming Multi-agent Pathfinding. 267-274 - Toby Walsh:
Equitable Mechanism Design for Facility Location. 275-283 - Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck:
Quantifying the Self-Interest Level of Markov Social Dilemmas. 284-292 - Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang:
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. 293-301 - Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding:
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates. 302-310 - Yang Zhao, Wenzhe Zhao, Xuelong Li:
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game. 311-319
AI Ethics, Trust, Fairness
- Axel Abels, Tom Lenaerts:
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds. 321-329 - Diptarka Chakraborty, Himika Das, Sanjana Dey, Alvin Yan Hong Yao:
Improved Rank Aggregation Under Fairness Constraint. 330-338 - Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation. 339-347 - Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang:
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity. 348-356 - Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang:
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation. 357-366 - Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo, Massoud Pedram:
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming. 367-375 - Xiaomeng Fu, Xi Wang, Qiao Li, Jin Liu, Jiao Dai, Jizhong Han, Xingyu Gao:
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models. 376-384 - Ruihan Hu, Yu-Ming Shang, Jiankun Peng, Wei Luo, Yazhe Wang, Xi Zhang:
Automated Detection of Pre-training Text in Black-box LLMs. 385-393 - David Ing, Saïd Jabbour, Lakhdar Saïs:
On Integrating Logical Analysis of Data into Random Forests. 394-402 - Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu:
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. 403-411 - Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen:
Counterfactual Strategies for Markov Decision Processes. 412-420 - Chongshou Li, Pin Tang, Tianrui Li, Yuheng Liu, Xinke Li:
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions. 421-429 - Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Ge Yu:
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency. 430-438 - Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao:
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. 439-447 - Yuehao Liu, Yansong Dong, Liang Zhao, Wensheng Wang, Cong Tian:
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement. 448-456 - Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina:
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. 457-465 - Sai Krishna Mendu, Harish Yenala, Aditi Gulati, Shanu Kumar, Parag Agrawal:
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs. 466-474 - Deng Pan, Nuno Moniz, Nitesh V. Chawla:
Fast Explanations via Policy Gradient-Optimized Explainer. 475-483 - Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh:
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments. 484-492 - Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye:
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. 493-501 - Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong:
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework. 502-510 - Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. 511-519 - Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang:
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. 520-528 - Chunjiang Wang, Kun Zhang, Yandong Liu, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. 529-537 - En Wang, Xingyu Lin, Du Su, Chenfu Bao, Zhonghou Lv, Funing Yang, Yuanbo Xu, Wenbin Liu:
Indirect Online Preference Optimization via Reinforcement Learning. 538-546 - Xiaofei Wang, Mingliang Han, Tianyu Hao, Cegang Li, Yunbo Zhao, Keke Tang:
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective. 547-555 - Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang:
fairGNN-WOD: Fair Graph Learning Without Complete Demographics. 556-564 - Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang:
Towards Fairness with Limited Demographics via Disentangled Learning. 565-573 - Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo:
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network. 574-582 - Lijun Wu, Dong Hao, Zhiyi Fan:
Explainable Graph Neural Networks via Structural Externalities. 583-591 - Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang:
Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering. 592-600 - Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang:
Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models. 601-609 - Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang:
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. 610-618 - Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang:
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models. 619-627 - Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang:
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective. 628-636 - Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang:
Causality-Inspired Disentanglement for Fair Graph Neural Networks. 637-645 - Pengcheng Zhao, Xiaowei Ding:
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics. 646-654 - Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu:
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. 655-663
Computer Vision
- Niaz Ahmad, Jawad Khan, Kang G. Shin, Youngmoon Lee, Guanghui Wang:
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation. 665-673 - Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Jie Ma, Liangliang Nan:
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship. 674-683 - Jiesong Bai, Yuhao Yin, Yihang Dong, Xiaofeng Zhang, Chi-Man Pun, Xuhang Chen:
LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction. 684-692 - Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li:
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection. 693-701 - Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu:
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP. 702-710 - Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen:
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection. 711-719 - Yaqi Cai, Shancheng Fang, Yadong Qu, Xiaorui Wang, Meng Shao, Hongtao Xie:
IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation. 720-728 - Chuangui Cao, Shifei Ding, Lili Guo:
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning. 729-737 - Tianjiao Cao, Jiahao Lyu, Weichao Zeng, Weimin Mu, Yu Zhou:
The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection. 738-746 - Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai:
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. 747-755 - Zhiyong Chang, Yan Wang:
MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation. 756-764 - Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu:
Multi-View Learning with Context-Guided Receptance for Image Denoising. 765-773 - Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou:
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. 774-782 - Guo Chen, Yifei Huang, Yin-Dong Zheng, Yicheng Liu, Jiahao Wang, Tong Lu:
Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning. 783-791 - Kerui Chen, Zhiliang Wu, Wenjin Hou, Kun Li, Hehe Fan, Yi Yang:
Prompt-Aware Controllable Shadow Removal. 792-800 - Minghui Chen, Dayan Wu, Chenxu Yang, Qinghang Su, Zheng Lin:
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification. 801-809 - Shi Chen, Lefei Zhang, Liangpei Zhang:
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolution. 810-818 - Xiangyi Chen, Han Xue, Li Song:
DiffFERV: Diffusion-based Facial Editing of Real Videos. 819-827 - Yanhao Chen, Zhongquan Jian, Nianxin Ke, Shuhao Hu, Junjie Jiao, Qingqi Hong, Qingqiang Wu:
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition. 828-836 - Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang:
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. 837-845 - Longquan Dai, He Wang, Yiming Zhang, Shaomeng Wang, Jinhui Tang:
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models. 846-854 - Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu:
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution. 855-863 - Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua:
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding. 864-872 - Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang:
Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models. 873-881 - Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang:
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. 882-890 - Shifei Ding, Qidong Wang, Lili Guo:
Global Information Compensation Network for Image Denoising. 891-899 - Zeyu Ding, Jiaqi Zhao, Yong Zhou, Wen-Liang Du, Hancheng Zhu, Rui Yao:
GSDet: Gaussian Splatting for Oriented Object Detection. 900-908 - Zhaodong Ding, Chenglong Li, Shengqing Miao, Jin Tang:
Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking. 909-917 - Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Z. Chen, Jian Wu:
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression. 918-926 - Neng Dong, Shuanglin Yan, Liyan Zhang, Jinhui Tang:
Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification. 927-935 - Chenghu Du, Junyin Wang, Kai Liu, Shengwu Xiong, Yi Rong:
Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On. 936-944 - Xiangcheng Du, Zhao Zhou, Yanlong Wang, Yingbin Zheng, Xingjiao Wu, Peizhu Gong, Cheng Jin:
Unleashing the Semantic Adaptability of Controlled Diffusion Model for Image Colorization. 945-953 - Shaojun E, Yuchen Yang, Jiaheng Wu, Yan Zhang, Tiejun Zhao, Ziyan Chen:
MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces. 954-962 - Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao:
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. 963-971 - Siyan Fang, Yuntao Wang, Jinpu Zhang, Ziwen Li, Yuehuan Wang:
Adaptive Language-Aware Image Reflection Removal Network. 973-981 - Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo:
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation. 982-989 - Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li:
2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting. 990-998 - Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li:
Active Multimodal Distillation for Few-shot Action Recognition. 999-1007 - Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang:
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. 1008-1016 - Bulat Gabdullin, Nina Konovalova, Nikolay Patakin, Dmitry Senushkin, Anton Konushin:
DepthART: Monocular Depth Estimation as Autoregressive Refinement Task. 1017-1025 - Wenxuan Ge, Peng Huang, Rui Yan, Hongyu Qu, Guosen Xie, Xiangbo Shu:
Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification. 1026-1034 - Zhihao Gong, Lian Wu, Yong Xu:
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification. 1035-1043 - Hongjie Gu, Jinlong Fan, Liang Zheng, Jing Zhang, Yuxiang Yang:
DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding. 1044-1052 - Weikang Gu, Mingyue Han, Li Xue, Heng Dong, Changcai Yang, Riqing Chen, Lifang Wei:
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration. 1053-1061 - Mingce Guo, Jingxuan He, Yufei Yin, Zhangye Wang, Shengeng Tang, Lechao Cheng:
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing. 1062-1070 - Qixian Hao, Shaozhang Niu, Jiwei Zhang, Kai Wang:
DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization. 1071-1079 - Tianxiang Hao, Hui Chen, Guiguang Ding:
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization. 1080-1088 - Gang He, Kepeng Xu, Li Xu, Wenxin Yu, Xianyun Wu:
Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion. 1089-1097 - Xin He, Longhui Wei, Lingxi Xie, Qi Tian:
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models. 1098-1106 - Jian Hu, Zixu Cheng, Shaogang Gong:
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation. 1107-1115 - Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang:
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. 1116-1124 - Qingguo Hu, Ante Wang, Jia Song, Delai Qiu, Qingsong Liu, Jinsong Su:
Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion. 1125-1133 - Binxiao Huang, Ngai Wong:
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. 1134-1142 - Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong:
Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. 1143-1151 - Chao Huang, Qianyi Li, Jie Wen, Bob Zhang:
Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection. 1152-1160 - Chaowei Huang, Yaru Su, Huangbiao Xu, Xiao Ke:
Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusion. 1161-1169 - Feizhen Huang, Yu Wu, Yutian Lin, Bo Du:
Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation. 1170-1178 - He Huang, Qi Yang, Mufan Liu, Yiling Xu, Zhu Li:
ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction. 1179-1187 - Jinglin Huang, Maoqiang Wu, Peichun Li, Wen Wu, Rong Yu:
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture. 1188-1196 - Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang, Ruipu Tang, Guangliang Cheng, Shaowei Jiang, Zhiwen Zheng, Jin Liu, Renjie Ruan, Xiaoshuai Zhang:
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation. 1197-1205 - Andela Ilic, Jiaxi Jiang, Paul Streli, Xintong Liu, Christian Holz:
Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models. 1206-1214 - Xueyao Ji, Gang Wang, Yizheng Wang:
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme. 1215-1223 - Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang:
SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. 1224-1232 - Ran Jia, Junpeng Xue, Shuai Ma, Wenbo Lu, Kelei Wang:
IE-PMMA: Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment. 1233-1241 - Jianchao Jiang, Haofeng Zhang:
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation. 1242-1250 - Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou:
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather. 1251-1259 - Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun:
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark. 1260-1268 - Xianghao Jiao, Di Wang, Jiawei Liang, Jianjie Huang, Wei Wang, Xiaochun Cao:
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization. 1269-1277 - Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen:
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. 1278-1286 - Luoxi Jing, Dianxi Shi, Zhe Liu, Songchang Jin, Chunping Qiu, Ziteng Qiao, Yuxian Li, Jianqiang Xia:
UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block. 1287-1295 - Xiao Ke, Weijie Zhou, Yuzhen Niu:
Projection, Interaction and Fusion: A Progressive Difference Fusion Network for Salient Object Detection. 1296-1304 - Min Hyuk Kim, Seok Bong Yoo:
Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation. 1305-1313 - Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao:
SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking. 1314-1322 - Byeonggwon Lee, Junkyu Park, Khang Truong Giang, Soohwan Song:
Online 3D Gaussian Splatting Modeling with Novel View Selection. 1323-1331 - Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang:
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. 1332-1340 - Chuanhao Li, Wenbo Ye, Zhen Li, Yuwei Wu, Yunde Jia:
Multi-Sourced Compositional Generalization in Visual Question Answering. 1341-1349 - Chunming Li, Shidong Wang, Haofeng Zhang:
Few-shot Novel Category Discovery. 1350-1358 - Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha:
Learnable Frequency Decomposition for Image Forgery Detection and Localization. 1359-1367 - Dongdong Li, Zhinan Gao, Yangliu Kuai, Rui Chen:
Exploring Efficient and Effective Sequence Learning for Visual Object Tracking. 1368-1376 - Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han:
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. 1377-1385 - Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo:
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. 1386-1394 - Minghao Li, Rui Wang, Ming Sun, Lihua Jing:
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning. 1395-1403 - Moqi Li, Xu Yang, Cheng Deng:
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation. 1404-1412 - Ping Li, Jianan Ni, Bo Pang:
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition. 1413-1421 - Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao:
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking. 1422-1430 - Wei Li, Dezhao Luo, Dongbao Yang, Zhenhang Li, Weiping Wang, Yu Zhou:
The Role of Video Generation in Enhancing Data-Limited Action Understanding. 1431-1439 - Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen:
Hypernetwork Aggregation for Decentralized Personalized Federated Learning. 1440-1448 - Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun:
Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation. 1449-1457 - Xinyu Li, Qi Yao, Yuanda Wang:
GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers. 1458-1466 - Xulin Li, Yan Lu, Bin Liu, Jiaze Li, Qinhong Yang, Tao Gong, Qi Chu, Mang Ye, Nenghai Yu:
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification. 1467-1475 - Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu:
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation. 1476-1484 - Yiming Li, Xiaoshan Yang, Bing-Kun Bao, Changsheng Xu:
Graph Prompts: Adapting Video Graph for Video Question Answering. 1485-1493 - Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li:
A Dual Stream Visual Tokenizer for LLM Image Generation. 1494-1502 - Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang:
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution. 1503-1511 - Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng:
Semantic-Space-Intervened Diffusive Alignment for Visual Classification. 1512-1520 - Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao:
Physical Adversarial Camouflage Through Gradient Calibration and Regularization. 1521-1529 - Zhechun Liang, Tao Huang, Fangfang Wu, Shiwen Xue, Zhenyu Wang, Weisheng Dong, Xin Li, Guangming Shi:
PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing. 1530-1538 - Shuyuan Lin, Mengtin Lo, Haosheng Chen, Yanjie Liang, Qiangqiang Wu:
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning. 1539-1547 - Yihong Lin, Zhaoxin Fan, Xianjia Wu, Lingyu Xiong, Xiandong Li, Wenxiong Kang, Liang Peng, Songju Lei, Huang Xu:
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer. 1548-1556 - Biao Liu, Xu Liu, Lingling Li, Licheng Jiao, Fang Liu, Xinyu Sun, Youlin Huang:
Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images. 1557-1566 - Jinyuan Liu, Qianjun Huang, Guanyao Wu, Di Wang, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan:
TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion. 1567-1575 - Ke Liu, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang:
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features. 1576-1584 - Ming-Hui Liu, Harry Cheng, Tianyi Wang, Xin Luo, Xin-Shun Xu:
Learning Real Facial Concepts for Independent Deepfake Detection. 1585-1593 - Shuaiyu Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang:
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition. 1594-1602 - Wang Liu, Puhong Duan, Xudong Kang, Shutao Li:
Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation. 1603-1611 - Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian:
Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval. 1612-1620 - Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang:
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos. 1621-1629 - Yi Liu, Changsheng Zhang, Yufei Yang:
Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection. 1630-1638 - Yingge Liu, Dawei Dai, Xiangling Hou, Shilin Zhao, Guoyin Wang:
From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval. 1639-1647 - Yu Liu, Hao Tang, Haiqi Zhang, Jing Qin, Zechao Li:
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection. 1648-1656 - Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu:
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. 1657-1665 - Zihang Liu, Zhenyu Zhang, Hao Tang:
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. 1666-1674 - Hang Lu, Liang Du, Peng Zhou:
Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation. 1675-1683 - Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan:
EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. 1684-1692 - Feng Luan, Jiarui Hu, Changshi Zhou, Zhipeng Wang, Jiguang Yue, Yanmin Zhou, Bin He:
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification. 1693-1701 - Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu:
PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening. 1702-1710 - Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu:
CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors. 1711-1719 - Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng:
Self-calibration Enhanced Whole Slide Pathology Image Analysis. 1720-1728 - Lingkun Luo, Shiqiang Hu, Liming Chen:
Noise Optimized Conditional Diffusion for Domain Adaptation. 1729-1737 - Min Xie, Jieyu Zhao, Kedi Shen, Kangxin Chen:
SE(3)-Equivariant Diffusion Models for 3D Object Analysis. 1738-1746 - Xuesong Nie, Haoyuan Jin, Vijayakumar Bhagavatula, Xiaofeng Liu:
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning. 1747-1755 - Jinjia Peng, Mengkai Li, Huibing Wang:
Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting. 1756-1764 - Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha:
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration. 1766-1774 - Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma:
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR. 1775-1783 - Rui Qin, Qijie Wang, Ming Sun, Haowei Zhu, Chao Zhou, Bin Wang:
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling. 1784-1792 - Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo:
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation. 1793-1801 - Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan:
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance. 1802-1810 - Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu:
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation. 1811-1819 - Haofan Ren, Zunjie Zhu, Xiang Chen, Ming Lu, Rongfeng Lu, Chenggang Yan:
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers. 1820-1828 - Xuanxuan Ren, Xiangyu Li, Kun Wei, Xu Yang, Yanhua Yang:
Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation. 1829-1837 - Youtong Shi, Lixin Chen, Yu Zang, Chenhui Yang, Cheng Wang:
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning. 1838-1846 - Woojin Shin, Donghwa Kang, Daejin Choi, Brent ByungHoon Kang, Jinkyu Lee, Hyeongboo Baek:
BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks. 1847-1855 - Naoya Sogi, Takashi Shibata, Makoto Terao, Masanori Suganuma, Takayuki Okatani:
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval. 1856-1864 - Wooseok Song, Seunggyu Chang, Jaejun Yoo:
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance. 1865-1872 - Guilin Su, Yuqing Huang, Chao Yang, Zhenyu He:
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation. 1873-1881 - Yong Su, Defang Chen, Meng Xing, Changjae Oh, Xuewei Liu, Jieyang Li:
Coming Out of the Dark: Human Pose Estimation in Low-light Conditions. 1882-1890 - Zibo Su, Ziqi Zhang, Kun Wei, Xu Yang, Cheng Deng:
Outstanding Orthodontist: No More Artifactual Teeth in Talking Face. 1891-1899 - Xiaoxi Sun, Jianxin Liang, Yueqian Wang, Huishuai Zhang, Dongyan Zhao:
Understanding Visual Detail Hallucinations of Large Vision-Language Models. 1900-1908 - Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo:
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images. 1909-1917 - Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. 1918-1926 - Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li, Long Lan, Mengzhu Wang:
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture. 1927-1935 - Dongzhihan Wang, Yang Yang, Xuyang Chen, Liang Xu:
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module. 1936-1944 - Haoyu Wang, Lei Zhang, Wei Wei, Chen Ding, Yanning Zhang:
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation. 1945-1953 - Mengxi Wang, Shaozhang Niu, Jiwei Zhang:
ForgDiffuser: General Image Forgery Localization with Diffusion Models. 1954-1962 - Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin:
Gaussian Mixture Model for Graph Domain Adaptation. 1963-1972 - Song Wang, Zhongdao Wang, Jiawei Yu, Wentong Li, Bailan Feng, Junbo Chen, Jianke Zhu:
Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning. 1973-1981 - Weihang Wang, Jun Wang, Fei Wen:
Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. 1982-1990 - Xiaxin Wang, Haoyu Cai, Xiaobo Shen, Xia Wu:
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation. 1991-1999 - Yongqi Wang, Xinxiao Wu, Shuo Yang:
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection. 2000-2008 - Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li:
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning. 2009-2017 - Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen:
ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization. 2018-2026 - Yuran Wang, Yingping Liang, Ying Fu:
Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World. 2027-2035 - Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang:
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators. 2036-2044 - Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen:
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis. 2045-2053 - Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li:
Indirect Alignment and Relationship Preservation for Domain Generalization. 2054-2062 - Zhiliang Wu, Kun Li, Hehe Fan, Yi Yang:
Drafting and Revision: Advancing High-Fidelity Video Inpainting. 2063-2071 - Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu:
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning. 2072-2080 - Yuxuan Xie, Tianhua Li, Wenqi Shao, Kaipeng Zhang:
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts. 2081-2088 - Jiazhuang Xiong, Yongshan Zhang, Xinxin Wang, Lefei Zhang:
Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening. 2089-2097 - Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu:
Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration. 2098-2106 - Lijuan Xu, Kai Wang, Fuqiang Yu, Fenghua Tong, Mengran Li, Dawei Zhao:
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images. 2107-2115 - Siyuan Xu, Haofei Song, Yingjiao Deng, Jiansheng Wang, Yan Wang, Qingli Li:
Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision. 2116-2124 - Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang:
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment. 2125-2133 - Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu:
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. 2134-2142 - Rui Yan, Jin Wang, Hongyu Qu, Xiaoyu Du, Dong Zhang, Jinhui Tang, Tieniu Tan:
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification. 2143-2151 - Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang:
Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval. 2152-2160 - Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li:
Frequency-Aware Deep Depth from Focus. 2161-2169 - Weiqi Yan, Lvhai Chen, Shengchuan Zhang, Yan Zhang, Liujuan Cao:
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection. 2170-2178 - Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei:
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. 2179-2187 - Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu:
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing. 2188-2196 - Hongpeng Yang, Xiangyu Hu, Yingxin Chen, Siyu Chen, Srihari Nelakuditi, Yan Tong, Shiqiang Ma, Fei Guo:
Unlocking Dark Vision Potential for Medical Image Segmentation. 2197-2205 - Meng Yang, Fan Fan, Jun Huang, Yong Ma, Xiaoguang Mei, Zhanchuan Cai, Jiayi Ma:
Multimodal Image Matching Based on Cross-Modality Completion Pre-training. 2206-2214 - Xudong Yang, Yizhang Zhu, Hanfeng Liu, Zeyi Wen, Nan Tang, Yuyu Luo:
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition. 2215-2223 - Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong:
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities. 2224-2232 - Yufei Yang, Song Xiao, Lixiang Li, Wenqian Dong, Jiahui Qu:
Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models. 2233-2241 - Yuxiang Yang, Yingqi Deng, Mian Pan, Zheng-Jun Zha, Jing Zhang:
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View. 2242-2250 - Siyue Yao, Haotian Xu, Mingjie Sun, Siyue Yu, Jimin Xiao, Eng Gee Lim:
DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation. 2251-2259 - Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song:
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting. 2260-2268 - Xi Ye, Lina Wang, Run Wang, Jiatong Liu, Geying Yang:
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version. 2269-2277 - Yufei Yin, Lechao Cheng, Wengang Zhou, Jiajun Deng, Zhou Yu, Houqiang Li:
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection. 2278-2286 - Sisi You, Bowen Yuan, Bing-Kun Bao:
SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding. 2287-2295 - Qianzi Yu, Kai Zhu, Yang Cao, Yu Kang:
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization. 2296-2304 - Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng:
Brain-Inspired Stepwise Patch Merging for Vision Transformers. 2305-2313 - Bowen Yuan, Sisi You, Bing-Kun Bao:
DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding. 2314-2322 - Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou:
Denoising Diffusion Models are Good General Gaze Feature Learners. 2323-2331 - Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia:
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. 2332-2340 - Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding. 2341-2349 - Jinzhi Zhang, Feng Xiong, Guangyu Wang, Mu Xu:
G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer. 2350-2358 - Mingjin Zhang, Longyi Li, Fei Gao, Qiming Zhang, Jie Guo:
Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging. 2359-2367 - Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu:
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. 2368-2376 - Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu:
CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting. 2377-2385 - Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha:
Training-free Fourier Phase Diffusion for Style Transfer. 2386-2394 - Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu:
HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection. 2395-2403 - Yan Zhang, Lechao Cheng, Yaxiong Wang, Zhun Zhong, Meng Wang:
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach. 2404-2412 - Youjia Zhang, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang:
Optimized View and Geometry Distillation from Multi-view Diffuser. 2413-2421 - Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du:
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving. 2422-2430 - Zhemin Zhang, Xun Gong:
Efficient Visual Representation Learning with Heat Conduction Equation. 2431-2439 - Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh:
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. 2440-2448 - Jingyu Zhao, Jiahui Qu, Wenqian Dong:
Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Images. 2449-2457 - Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao:
Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning. 2458-2466 - Zhikang Zhao, Kaitao Chen, Jing Zhao:
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis. 2467-2475 - Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang:
Open-Vocabulary Fine-Grained Hand Action Detection. 2476-2484 - Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei:
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection. 2485-2493 - Fengfan Zhou, Qianyu Zhou, Heifei Ling, Xuequan Lu:
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models. 2494-2502 - Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li:
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. 2503-2511 - Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen:
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. 2512-2520 - Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li:
Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing. 2521-2529 - Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Chaowei Fang, Xu Tang, Licheng Jiao:
RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images. 2530-2538 - Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen:
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation. 2539-2547 - Junhong Zou, Xiangyu Zhu, Zhaoxiang Zhang, Zhen Lei:
Top-Down Guidance for Learning Object-Centric Representations. 2548-2556
Constraint Satisfaction and Optimization
- Florent Avellaneda:
Learning Optimal Oblique Decision Trees with (Max)SAT. 2558-2565 - Junyang Cai, Serdar Kadioglu, Bistra Dilkina:
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems. 2566-2574 - Yu Cong, Chao Xu, Yi Zhou:
Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints. 2575-2582 - Marianne Defresne, Jayanta Mandi, Tias Guns:
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation. 2583-2591 - Shmuel Goldklang, Tal Grinshpoun, Tamir Tassa:
Privacy Preserving Solution of DCOPs by Local Search. 2592-2600 - Rei Higuchi, Takehide Soh, Daniel Le Berre, Morgan Magnin, Mutsunori Banbara, Naoyuki Tamura:
A SAT-based Method for Counting All Singleton Attractors in Boolean Networks. 2601-2609 - Sulian Le Bozec-Chiffoleau, Nicolas Beldiceanu, Charles Prud'homme, Gilles Simonin, Xavier Lorca:
Bimodal Depth-First Search for Scalable GAC for AllDifferent. 2610-2618 - Zhengyu Li, Conor Duggan, Curtis Bright, Vijay Ganesh:
Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3, 8) and R(3, 9) Problems. 2619-2627 - Virasone Manibod, David Saikali, Gilles Pesant:
Constrained Sequential Inference in Machine Learning Using Constraint Programming. 2628-2636 - João Marques-Silva, Jairo A. Lefebre-Lobaina, Maria Vanina Martinez:
Efficient and Rigorous Model-Agnostic Explanations. 2637-2646 - Shiwei Pan, Yiyuan Wang, Shaowei Cai:
An Efficient Core-Guided Solver for Weighted Partial MaxSAT. 2647-2656 - Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li:
Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning. 2657-2665 - Junqiang Peng, Zimo Sheng, Mingyu Xiao:
New Algorithms for #2-SAT and #3-SAT. 2666-2674 - Siddharth Prasad, Ellen Vitercik, Maria-Florina Balcan, Tuomas Sandholm:
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets. 2675-2683 - Jeroen Spaans, Jesse Heyninck:
A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation. 2684-2692
Data Mining
- Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan:
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. 2694-2702 - Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. 2703-2712 - Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao:
GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation. 2713-2721 - Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu:
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding. 2722-2730 - Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang:
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. 2731-2739 - Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu:
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams. 2740-2748 - Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang:
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. 2749-2757 - Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang:
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. 2758-2766 - Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu:
Adaptive Graph Unlearning. 2767-2774 - Rui Dong, Jiaxing Li, Weihuang Zheng, Youyong Kong:
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation. 2775-2783 - Xiaocong Du, Haoyu Pei, Haipeng Zhang:
Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry. 2784-2792 - Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang:
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks. 2793-2801 - ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song:
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training. 2802-2810 - Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang:
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding. 2811-2819 - Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu:
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming. 2820-2828 - Jiawei Gu, Ziyue Qiao, Xiao Luo:
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration. 2829-2837 - Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang:
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better. 2838-2846 - Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang, Zhiyong Feng:
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection. 2847-2855 - Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang:
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU. 2856-2864 - Xinyan Hao, Huaiyu Wan, Shengnan Guo, Youfang Lin:
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning. 2865-2873 - Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai:
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. 2874-2882 - Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu:
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. 2883-2891 - Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu:
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking. 2892-2900 - Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu:
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation. 2901-2909 - Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang:
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs. 2910-2918 - Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li:
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization. 2919-2927 - Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang:
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process. 2928-2936 - Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang:
Soft Reasoning Paths for Knowledge Graph Completion. 2937-2945 - Lei Hu, Zhiyong Gan, Ling Deng, Jinglin Liang, Lingyu Liang, Shuangping Huang, Tianshui Chen:
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection. 2946-2954 - Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang:
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. 2955-2963 - Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li:
OS-GCL: A One-Shot Learner in Graph Contrastive Learning. 2964-2972 - Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao:
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation. 2973-2981 - Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi:
HGMP: Heterogeneous Graph Multi-Task Prompt Learning. 2982-2990 - Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, Huaming Wu:
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity. 2991-2999 - Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He:
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection. 3000-3008 - Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang:
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. 3009-3017 - Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng:
Prototype-based Optimal Transport for Out-of-Distribution Detection. 3018-3026 - Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou:
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. 3027-3035 - Jiafan Li, Jiaqi Zhu, Liang Chang, Yilin Li, Miaomiao Li, Yang Wang, Yi Yang, Hongan Wang:
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks. 3036-3044 - Ke Li, Leong Hou U, Shuo Shang:
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation. 3045-3053 - Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li:
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs. 3054-3062 - Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin:
Decision-Aware Preference Modeling for Multi-Behavior Recommendation. 3063-3071 - Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang:
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. 3072-3080 - Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu, Jiaqi Zhao, Wenliang Du:
Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling. 3081-3089 - Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Changdong Wang, Hui-Yu Zhou:
Preference Identification by Interaction Overlap for Bundle Recommendation. 3090-3098 - Chang Liu, Hai Huang, Xingquan Zuo:
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective. 3099-3107 - Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li:
Flow Matching Based Sequential Recommender Model. 3108-3116 - Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin:
Heterogeneous Temporal Hypergraph Neural Network. 3117-3125 - Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan:
Sharpness-aware Zeroth-order Optimization for Graph Transformers. 3126-3134 - Yezi Liu, Jiaxuan Xie, Yanning Shen:
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. 3135-3143 - Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou:
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation. 3144-3152 - Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou:
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. 3153-3161 - Dongyuan Ma, Dongxiao He, Xin Huang:
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs. 3162-3170 - Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang:
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. 3171-3179 - Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li:
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks. 3180-3188 - Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong:
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling. 3189-3197 - Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv:
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment. 3198-3207 - Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan:
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation. 3208-3216 - Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou:
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. 3217-3225 - Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang:
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. 3226-3234 - Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. 3235-3244 - Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. 3245-3253 - Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin Hancock:
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. 3254-3262 - Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li:
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. 3263-3271 - Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang:
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning. 3272-3280 - Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu:
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. 3281-3289 - Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi:
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series. 3290-3298 - Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou, Meina Song:
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding. 3299-3307 - Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu:
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation. 3308-3316 - Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu:
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios. 3317-3325 - Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, Chong Li:
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines. 3326-3334 - Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu:
Non-collective Calibrating Strategy for Time Series Forecasting. 3335-3343 - Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi:
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data. 3344-3352 - Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu:
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting. 3353-3361 - Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu:
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming. 3362-3370 - Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu:
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. 3371-3379 - Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li:
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking. 3380-3388 - Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang:
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting. 3389-3397 - Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang:
Higher-order Logical Knowledge Representation Learning. 3398-3406 - Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin:
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. 3407-3416 - Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin:
Attribute Association Driven Multi-Task Learning for Session-based Recommendation. 3417-3425 - Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan:
Explainable Graph Representation Learning via Graph Pattern Analysis. 3426-3434 - Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu:
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. 3435-3443 - Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li:
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes. 3444-3452 - Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang:
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. 3453-3461 - Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang:
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. 3462-3470 - Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong:
Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling. 3471-3479 - Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao:
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection. 3480-3488 - Shuyin Xia, Guan Wang, Gaojie Xu, Sen Zhao, Guoyin Wang:
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing. 3489-3497 - Hangtong Xu, Yuanbo Xu, Huayuan Liu, En Wang:
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation. 3498-3506 - Yuanbo Xu, Hongxu Shen, Yiheng Jiang, En Wang:
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation. 3507-3515 - Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu:
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting. 3516-3524 - Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang:
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning. 3525-3533 - Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang:
Universal Graph Self-Contrastive Learning. 3534-3542 - Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong:
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. 3543-3551 - Yang Yang, Xixian Wu, Qing-Yuan Jiang:
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach. 3552-3560 - Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang:
Coupling Category Alignment for Graph Domain Adaptation. 3561-3569 - Shu Yin, Dongpeng Hou, Lianwei Wu, Xianghua Li, Chao Gao:
A Prior-based Discrete Diffusion Model for Social Graph Generation. 3570-3578 - Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng:
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks. 3579-3587 - Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang:
A Centrality-based Graph Learning Framework. 3588-3596 - Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong:
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. 3597-3605 - Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi:
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. 3606-3614 - Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu:
Device-Cloud Collaborative Correction for On-Device Recommendation. 3615-3623 - Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. 3624-3632 - Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li:
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting. 3633-3641 - Xiong Zhang, Hong Peng, Zhenli He, Cheng Xie, Xin Jin, Hua Jiang:
GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection. 3642-3650 - Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai:
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. 3651-3659 - Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang:
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework. 3660-3669 - Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock:
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. 3670-3679 - Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng:
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. 3680-3688 - Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng:
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation. 3689-3697 - Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan:
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories. 3698-3706 - Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang:
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering. 3707-3715 - Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu:
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs. 3716-3724
Game Theory and Economic Paradigms
- Seyedehkimia Alaviyar, Faraz Zargari, John Tyler, Yunwei Ryan Li, Xiaoqi Tan:
Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation. 3726-3734 - Haris Aziz, Hau Chan, Patrick Lederer, Shivika Narang, Toby Walsh:
Distance Preservation Games. 3735-3743 - Togzhan Barakbayeva, Zhuo Cai, Amir Kafshdar Goharshady, Karaneh Keypoor:
Smart Contracts for Trustless Sampling of Correlated Equilibria. 3744-3752 - Matthias Bentert, Robert Bredereck, Eva Michelle Deltl, Pallavi Jain, Leon Kellerhals:
How to Resolve Envy by Adding Goods. 3753-3761 - Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué:
Constrained Serial Dictatorships Can Be Fair. 3762-3770 - Martin Bullinger, Matan Gilboa:
Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games. 3771-3779 - Jiehua Chen, Martin Durand, Christian Hatschka:
Multi-Organizational Scheduling: Individual Rationality, Optimality, and Complexity. 3780-3787 - George Christodoulou, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa:
Maximin Share Guarantees for Few Agents with Subadditive Valuations. 3788-3795 - Saar Cohen, Noa Agmon:
Decentralized Online Learning by Selfish Agents in Coalition Formation. 3796-3804 - Lvye Cui, Haoran Yu, Pierre Pinson, Dario Paccagnan:
Inverse Game Theory: An Incenter-Based Approach. 3805-3813 - Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh:
Not in My Backyard! Temporal Voting Over Public Chores. 3814-3820 - Piotr Faliszewski, Lukasz Janeczko, Dusan Knop, Jan Pokorný, Simon Schierreich, Mateusz Sluszniak, Krzysztof Sornat:
Participatory Budgeting Project Strength via Candidate Control. 3821-3829 - Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu:
EFX Feasible Scheduling for Time-dependent Resources. 3830-3838 - Michail Fasoulakis, Evangelos Markakis, Georgios Roussakis, Christodoulos Santorinaios:
Α Descent-based Method on the Duality Gap for Solving Zero-sum Games. 3839-3847 - Diodato Ferraioli, Giovanna Varricchio:
Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games. 3848-3856 - Aris Filos-Ratsikas, Vasilis Gkatzelis, Mohamad Latifian, Emma Rewinski, Alexandros A. Voudouris:
Optimal Metric Distortion for Matching on the Line. 3857-3865 - Henry L. Fleischmann, Kiriaki Fragkia, Ratip Emin Berker:
Beyond Symmetry in Repeated Games with Restarts. 3866-3873 - Sotiris Georganas, Aggelos Kiayias, Paolo Penna:
Airdrop Games. 3874-3882 - Yuhang Guo, Dong Hao, Bin Li, Mingyu Xiao, Bakh Khoussainov:
Strategyproofness and Monotone Allocation of Auction in Social Networks. 3883-3890 - Sushmita Gupta, Pallavi Jain, Souvik Saha, Saket Saurabh, Anannya Upasana:
More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules. 3891-3899 - Daniel Halpern, Ariel D. Procaccia, Warut Suksompong:
The Proportional Veto Principle for Approval Ballots. 3900-3907 - Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda:
Dividing Conflicting Items Fairly. 3908-3915 - Pallavi Jain, Andrzej Kaczmarczyk:
Efficient Algorithms for Electing Successive Committees. 3916-3924 - Julien Lesca:
Online Housing Market. 3925-3933 - Lijun Li, Chenyang Xu, Liuyi Yang, Ruilong Zhang:
Fair Submodular Maximization over a Knapsack Constraint. 3934-3942 - Shi Li, Chenyang Xu, Ruilong Zhang:
Logarithmic Approximations for Fair k-Set Selection. 3943-3951 - Zehan Lin, Xiaowei Wu, Shengwei Zhou:
Approximately EFX and fPO Allocations for Bivalued Chores. 3952-3960 - Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang:
Stackelberg vs. Nash in the Lottery Colonel Blotto Game. 3961-3969 - Abhiram Manohara, Ahad N. Zehmakan:
Viral Marketing and Convergence Properties in Generalised Voter Model. 3970-3978 - Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama:
Asymptotic Analysis of Weighted Fair Division. 3979-3987 - Pasin Manurangsi, Warut Suksompong:
Asymptotic Fair Division: Chores Are Easier Than Goods. 3988-3995 - Carlos Martin, Tuomas Sandholm:
Joint-Perturbation Simultaneous Pseudo-Gradient. 3996-4004 - Lata Narayanan, Jaroslav Opatrny, Shanmukha Tummala, Alexandros A. Voudouris:
Variety-Seeking Jump Games on Graphs. 4005-4013 - Dominik Peters:
The Core of Approval-Based Committee Elections with Few Seats. 4014-4022 - Keshav Ranjan, Meghana Nasre, Prajakta Nimbhorkar:
Optimal Capacity Modification for Stable Matchings with Ties. 4023-4031 - Krzysztof Rogowski, Marcin Dziubinski:
Improved Approximation Ratio for Strategyproof Facility Location on a Cycle. 4032-4039 - Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke:
Discrete Budget Aggregation: Truthfulness and Proportionality. 4040-4047 - Hadas Shachnai, Rotem Shavitt, Andreas Wiese:
Finding Possible Winners in Spatial Voting with Incomplete Information. 4048-4056 - Parnian Shahkar, Jugal Garg:
Improved MMS Approximations for Few Agent Types. 4057-4064 - Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo:
Probabilistic Analysis of Stable Matching in Large Markets with Siblings. 4065-4072 - Xiaowei Wu, Quan Xue, Shengwei Zhou:
A Little Subsidy Ensures MMS Allocation for Three Agents. 4073-4081 - Xiaowei Wu, Quan Xue, Shengwei Zhou:
Revisiting Proportional Allocation with Subsidy: Simplification and Improvements. 4082-4090 - Xu Zhao, Ren Liu, Weiran Shen:
Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals. 4091-4099
Humans and AI
- Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Katharina von der Wense, Alessandro Roncone:
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions. 4101-4109 - Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li:
Binary Event-Driven Spiking Transformer. 4110-4118 - Wei Chen, Yafei Li, Baolong Mei, Guanglei Zhu, Jiaqi Wu, Mingliang Xu:
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing. 4119-4127 - Alex Cuellar, Ho Chit Siu, Julie A. Shah:
Inference of Human-derived Specifications of Object Placement via Demonstration. 4128-4136 - Cunhang Fan, Xiaoke Yang, Hongyu Zhang, Ying Chen, Lu Li, Jian Zhou, Zhao Lv:
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection. 4137-4145 - Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang:
Stochasticity-aware No-Reference Point Cloud Quality Assessment. 4146-4154 - Koki Iwai, Yusuke Kumagae, Yuki Koyama, Masahiro Hamasaki, Masataka Goto:
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design. 4155-4163 - Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan:
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. 4164-4172 - Lu Li, Cunhang Fan, Hongyu Zhang, Jingjing Zhang, Xiaoke Yang, Jian Zhou, Zhao Lv:
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection. 4173-4181 - Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng:
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. 4182-4190 - Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan:
Community-Aware Graph Transformer for Brain Disorder Identification. 4191-4199 - Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang:
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. 4200-4208 - Huabin Wang, Jie Ruan, Cunhang Fan, Yingfan Cheng, Zhao Lv:
ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks. 4209-4217 - Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. 4218-4226 - Qingshun Wu, Yafei Li, Lulu Li, Yuanyuan Jin, Shuo He, Mingliang Xu:
HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models. 4227-4235 - Shuang Wu, Heng Liang, Yong Zhang, Yanlin Chen, Ziyu Jia:
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition. 4236-4244 - Wuyuan Xie, Tingcheng Bian, Miaohui Wang:
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment. 4245-4253 - Haiwei Xue, Zhensong Zhang, Minglei Li, Zonghong Dai, Fei Yu, Fei Ma, Zhiyong Wu:
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening. 4254-4262 - Hang Yang, Zhiwu Li, Witold Pedrycz:
Adaptive Deep Learning from Crowds. 4263-4272 - Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao:
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition. 4273-4281 - Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo:
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions. 4282-4290
Knowledge Representation and Reasoning
- Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai:
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. 4292-4300 - Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini, Dmitry Rozplokhas:
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals. 4301-4310 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Featured Argumentation Framework: Semantics and Complexity. 4311-4320 - Gianvincenzo Alfano, Adam Gould, Francesco Leofante, Antonio Rago, Francesca Toni:
Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation. 4321-4329 - Mario Alviano, Lorenzo Grillo, Fabrizio Lo Scudo, Luis Angel Rodriguez Reiners:
Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language. 4330-4338 - Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake:
EnergyCompress: A General Case Base Learning Strategy. 4339-4346 - Gaia Belardinelli, Thomas Bolander, Sebastian Watzl:
A Logic of General Attention Using Edge-Conditioned Event Models. 4347-4355 - Davide Benedetto, Marco Calautti, Hebatalla Hammad, Emanuel Sallinger, Adriano Vlad-Starrabba:
A Datalog Rewriting Algorithm for Warded Ontologies. 4356-4364 - Lars Bengel, Matthias Thimm:
Initial Models and Serialisability in Abstract Dialectical Frameworks. 4365-4373 - Meghyn Bienvenu, Camille Bourgaux, Atefe Khodadaditaghanaki:
Inconsistency Handling in DatalogMTL. 4374-4381 - Lydia Blümel, Anna Rapberger, Matthias Thimm, Francesca Toni:
On Independence and SCC-Recursiveness in Assumption-Based Argumentation. 4382-4390 - Cornelius Brand, Robert Ganian, Fionn Mc Inerney, Simon Wietheger:
A Structural Complexity Analysis of Hierarchical Task Network Planning. 4391-4400 - Simone Caruso, Carmine Dodaro, Marco Maratea, Alice Tarzariol:
A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalisms. 4401-4409 - Davide Catta, Rustam Galimullin, Aniello Murano:
First-Order Coalition Logic. 4410-4418 - Jake Chandler, Richard Booth:
Parallel Belief Revision via Order Aggregation. 4419-4426 - Jake Chandler, Richard Booth:
Parallel Belief Contraction via Order Aggregation. 4427-4435 - Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo:
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies. 4436-4444 - Victor David, Anthony Hunter:
A Logic-based Framework for Decoding Enthymemes in Argument Maps Involving Implicitness in Premises and Claims. 4445-4453 - Vincent Derkinderen, Jean-Marie Lagniez:
Circuit-Aware d-DNNF Compilation. 4454-4462 - Thomas Eiter, Tobias Geibinger:
A Sequent Calculus for Answer Set Entailment. 4463-4472 - Thomas Eiter, Davide Soldà:
On Temporal ASP with Eager Unfoldable Operators. 4473-4481 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results. 4482-4490 - Johannes Klaus Fichte, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, Jonathan Persson:
Facets in Argumentation: A Formal Approach to Argument Significance. 4491-4499 - Valeria Fionda, Antonio Ielo, Francesco Ricca:
Are Large Language Models Fluent in Declarative Process Mining? 4500-4508 - Stefan Gebhart, Lutz Schröder, Paul Wild:
Non-expansive Fuzzy ALC. 4509-4517 - Anne-Marie George, Ana Ozaki:
On Middle Grounds for Preference Statements. 4518-4525 - Céline Hocquette, Andrew Cropper:
Relational Decomposition for Program Synthesis. 4526-4534 - John Wesley Hostetter, Adittya Soukarjya Saha, Md. Mirajul Islam, Tiffany Barnes, Min Chi:
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments. 4535-4543 - Pascal Kettmann, Jesse Heyninck, Hannes Strass:
Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics. 4544-4552 - Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv:
Reasoning About Causal Knowledge in Nondeterministic Domains. 4553-4561 - Victor Lagerkvist, Mohamed Maizia, Johannes Schmidt:
A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Bounds. 4562-4569 - Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang:
Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning. 4570-4578 - Yating Liu, Xin Zheng, Yi Li, Yanqing Guo:
Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation. 4579-4587 - Hua Meng, Zhiguo Long, Michael Sioutis, Zhengchun Zhou:
On Definite Iterated Belief Revision with Belief Algebras. 4588-4596 - Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu:
FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing. 4597-4605 - Pavel Naumov, Jia Tao:
Responsibility Gap in Collective Decision Making. 4606-4614 - Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan:
Combining MORL with Restraining Bolts to Learn Normative Behaviour. 4615-4623 - Susana Nunes, Samy Badreddine, Catia Pesquita:
Rewarding Explainability in Drug Repurposing with Knowledge Graphs. 4624-4632 - Mohammad Raza, Natasa Milic-Frayling:
Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers. 4633-4641 - Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska:
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems. 4642-4650 - Yakoub Salhi:
A Game-Theoretic Perspective on Inconsistency Handling. 4651-4659 - Marco Sälzer, François Schwarzentruber, Nicolas Troquard:
Verifying Quantized Graph Neural Networks is PSPACE-complete. 4660-4668 - Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis:
Iterated Belief Change as Learning. 4669-4677 - Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck, Gabriele Kern-Isberner, Christoph Beierle:
Generalized Safe Conditional Syntax Splitting of Belief Bases. 4678-4686 - Christian Straßer, Badran Raddaoui, Saïd Jabbour:
Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques. 4687-4695 - Yisong Wang, Xianglong Wang, Zhongtao Xie, Thomas Eiter:
Witnesses for Answer Sets of Basic Logic Programs. 4696-4705 - Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou:
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. 4706-4714 - Guohui Xiao, Lin Ren, Guilin Qi, Haohan Xue, Marco Di Panfilo, Davide Lanti:
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction. 4715-4723 - Liao Zhang, Fabian Mitterwallner, Jan Jakubuv, Cezary Kaliszyk:
Automated Strategy Invention for Confluence of Term Rewrite Systems. 4724-4732 - Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng:
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network. 4733-4741
Machine Learning
- Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou:
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning. 4743-4751 - Nasim Baharisangari, Yucheng Ruan, Chengcheng Zhao, Zhe Xu:
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective. 4752-4760 - Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge:
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning. 4761-4769 - Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das:
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator. 4770-4778 - Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao:
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. 4779-4787 - Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo:
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. 4788-4796 - Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen:
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis. 4797-4805 - Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti:
Grounding Methods for Neural-Symbolic AI. 4806-4814 - Haiyang Chen, Xiaolong Xu, Xiang Zhu, Xiaokang Zhou, Fei Dai, Yansong Gao, Xiao Chen, Shuo Wang, Hongsheng Hu:
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning. 4815-4823 - Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu:
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction. 4824-4832 - Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. 4833-4841 - Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Disconfounding Fake News Video Explanation with Causal Inference. 4842-4850 - Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu:
Pixel-wise Divide and Conquer for Federated Vessel Segmentation. 4851-4859 - Weihang Chen, Cheng Yang, Jie Ren, Zhiqiang Li, Zheng Wang:
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning. 4860-4868 - Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun:
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. 4869-4877 - Xinda Chen, Zhen Xing, Zixian Zhang, Weimin Tan, Bo Yan:
Multimodal Inference with Incremental Tabular Attributes. 4878-4886 - Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu:
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. 4887-4895 - Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan, Xiaozhao Fang:
Pseudo-Label Reconstruction for Partial Multi-Label Learning. 4896-4904 - Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang:
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models. 4905-4913 - Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang:
Multi-Objective Neural Bandits with Random Scalarization. 4914-4922 - Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu:
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. 4923-4931 - Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen:
Automated Superscalar Processor Design by Learning Data Dependencies. 4932-4939 - Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo:
Fully Test-Time Adaptation for Feature Decrement in Tabular Data. 4940-4948 - Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li:
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. 4949-4957 - Jean Seong Bjorn Choe, Jong-Kook Kim:
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation. 4958-4966 - Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev, Andrew I. Cooper:
Language-Based Bayesian Optimization Research Assistant (BORA). 4967-4975 - Jacques Cloete, Nikolaus Vertovec, Alessandro Abate:
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL. 4976-4984 - Martin C. Cooper, Imane Bousdira, Clément Carbonnel:
Interpretable DNFs. 4985-4993 - Andrei Cozma, Landon Harris, Hairong Qi:
KIPPO: Koopman-Inspired Proximal Policy Optimization. 4994-5002 - Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang:
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing. 5003-5011 - Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen:
Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits. 5012-5020 - Binbin Ding, Penghui Yang, Sheng-Jun Huang:
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks. 5021-5029 - Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang:
Block Circulant Adapter for Large Language Models. 5030-5038 - Shuyang Dong, Shangtong Zhang, Lu Feng:
Counterfactual Explanations for Continuous Action Reinforcement Learning. 5039-5046 - Yihang Du, Jiaying Hu, Suyang Hou, Yueyang Ding, Xiaobo Sun:
A Methodological Framework for Measuring Spatial Labeling Similarity. 5047-5055 - Amin Falah, Shibashis Guha, Ashutosh Trivedi:
Continuous-Time Reward Machines. 5056-5064 - Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong:
Multi-player Multi-armed Bandits with Delayed Feedback. 5065-5073 - Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou:
One-step Label Shift Adaptation via Robust Weight Estimation. 5074-5082 - Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang:
Not All Layers of LLMs Are Necessary During Inference. 5083-5091 - Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang:
Open-World Semi-Supervised Learning with Class Semantic Correlations. 5092-5100 - Chaowei Fang, Hangfei Ma, Zhihao Li, De Cheng, Yue Zhang, Guanbin Li:
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels. 5101-5109 - Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang:
HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. 5110-5117 - Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong:
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. 5118-5126 - Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong:
Tensorial Multi-view Clustering with Deep Anchor Graph Projection. 5127-5135 - Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier:
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport. 5136-5144 - Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen:
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. 5145-5153 - Ji Gan, Yupeng Zhou, Yanming Zhang, Jiaxu Leng, Xinbo Gao:
Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning. 5154-5162 - Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu:
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. 5163-5171 - Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu:
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. 5172-5180 - Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu:
Two-Stage Feature Generation with Transformer and Reinforcement Learning. 5181-5189 - Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu:
Dual-Agent Reinforcement Learning for Automated Feature Generation. 5190-5198 - Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv:
Decoupled Imbalanced Label Distribution Learning. 5199-5207 - Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan:
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. 5208-5216 - Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen:
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. 5217-5225 - Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu:
WDMIR: Wavelet-Driven Multimodal Intent Recognition. 5226-5234 - Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang:
Flexible Generalized Low-Rank Regularizer for Tensor RPCA. 5235-5243 - Jiawei Gu, Ziyue Qiao, Zechao Li:
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps. 5244-5252 - Zeli Guan, Yawen Li, Junping Du, Runqing Tang, Xiaolong Meng:
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network. 5253-5261 - Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang:
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior. 5262-5270 - Pengcheng Guo, Yonghong Song, Boyu Wang:
Towards Debiased Generalized Category Discovery. 5271-5279 - Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang:
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning. 5280-5288 - Yifan Guo, Alyssa Yu:
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach. 5289-5297 - Zengxia Guo, Bohui An, Zhongqi Lu:
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning. 5298-5306 - Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng:
Human-Imperceptible, Machine-Recognizable Images. 5307-5317 - Somnath Hazra, Pallab Dasgupta, Soumyajit Dey:
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning. 5318-5326 - Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao:
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method. 5327-5335 - Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu:
Graph Embedded Contrastive Learning for Multi-View Clustering. 5336-5344 - Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang:
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. 5345-5353 - Yasunari Hikima, Naoyuki Kamiyama:
An Inverse Optimization Approach to Contextual Inverse Optimization. 5354-5362 - Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma:
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. 5363-5371 - Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen:
A Correlation Manifold Self-Attention Network for EEG Decoding. 5372-5380 - Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma:
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control. 5381-5389 - Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng:
Probabilistic Multimodal Learning with von Mises-Fisher Distributions. 5390-5398 - Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu:
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. 5399-5407 - Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen:
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. 5408-5416 - Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv:
DONIS: Importance Sampling for Training Physics-Informed DeepONet. 5417-5425 - Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang:
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network. 5426-5434 - Xin Huang, Ruibin Li, Tong Jia, Wei Zheng, Ya Wang:
Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models. 5435-5443 - Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao:
Differentiable Prompt Learning for Vision Language Models. 5444-5452 - Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y. Renard:
Identifying Drivers of Predictive Aleatoric Uncertainty. 5453-5462 - Yacine Izza, Alexey Ignatiev, Sasha Rubin, João Marques-Silva, Peter J. Stuckey:
Most General Explanations of Tree Ensembles. 5463-5471 - Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao:
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance. 5472-5479 - Jingang Jiang, Yanzhao Chen, Xiangyang Liu, Haiqi Jiang, Chenyou Fan:
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts. 5480-5488 - Qing-Yuan Jiang, Zhouyang Chi, Yang Yang:
Interactive Multimodal Learning via Flat Gradient Modification. 5489-5497 - Kaili Jin, Li Xu, Xiaoding Wang, Sun-Yuan Hsieh, Jie Wu, Limei Lin:
FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation. 5498-5507 - Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng:
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform. 5508-5516 - Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao:
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization. 5517-5526 - Hongchang Ke, Yan Ding, Lin Pan, Yang Chen, Jia Zhao:
Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks. 5527-5535 - Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin:
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. 5536-5544 - Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng:
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. 5545-5553 - Zhao-Rong Lai, Haisheng Yang:
Linear Trading Position with Sparse Spectrum. 5554-5562 - Minhyuk Lee, Hyekyung Yoon, Myungjoo Kang:
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting. 5563-5570 - Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang:
Distilling A Universal Expert from Clustered Federated Learning. 5571-5579 - Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye:
CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. 5580-5588 - Chengyi Li, Zhiyuan Jiang, Yongjun Wang, Tian Xia, Yayuan Zhang, Yuhang Mao:
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation. 5589-5597 - Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li:
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels. 5598-5606 - Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo:
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. 5607-5615 - Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia:
Efficient Differentiable Approximation of Generalized Low-rank Regularization. 5616-5624 - Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang:
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS. 5625-5633 - Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li:
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. 5634-5642 - Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang:
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. 5644-5652 - Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang:
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective. 5653-5661 - Zhize Li:
SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method. 5662-5670 - Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu:
Critical Node-aware Augmentation for Hypergraph Contrastive Learning. 5671-5679 - Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen:
View-Association-Guided Dynamic Multi-View Classification. 5680-5688 - Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng:
Federated Domain Generalization with Decision Insight Matrix. 5689-5697 - Han-Dong Lim, Donghwan Lee:
A Primal-dual Perspective for Distributed TD-learning. 5698-5706 - Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu:
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework. 5707-5715 - Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan:
Gradient-based Causal Feature Selection. 5716-5724 - Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu:
Hybrid Local Causal Discovery. 5725-5733 - Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Identifying and Reusing Learnwares Across Different Label Spaces. 5734-5742 - Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang:
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples. 5743-5751 - Menghan Liu, Jianhuan Cen, Ziyang Zhou, Haolong Fan, Hongji Li, Ping Wei, Guohang Peng, Changye He, Yuzhe Qin, Yutong Lu, Qingsong Zou:
CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics. 5752-5760 - Qian Liu, Huibing Wang, Jinjia Peng, Yawei Chen, Mingze Yao, Xianping Fu, Yang Wang:
Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning. 5761-5769 - Wenhui Liu, Zhijian Wu, Jingchao Wang, Dingjiang Huang, Shuigeng Zhou:
Imagination-Limited Q-Learning for Offline Reinforcement Learning. 5770-5778 - Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang:
DUQ: Dual Uncertainty Quantification for Text-Video Retrieval. 5779-5787 - Xinhong Liu, Xiaoliang Li, Yangfan Li, Fengxiao Tang, Ming Zhao:
RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend. 5788-5796 - Xueqing Liu, Qinwei Yang, Zhaoqing Tian, Ruocheng Guo, Peng Wu:
Optimal Policy Adaptation Under Covariate Shift. 5797-5805 - Yimin Liu, Peng Jiang:
Generic Adversarial Attack Framework Against Vertical Federated Learning. 5806-5814 - Yu Liu, Haipeng Chen, Yuheng Liang, Yuheng Yang, Xun Yang, Yingda Lyu:
Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval. 5815-5823 - Yuanhao Liu, Yiya You, Shuo Liu, Hong Qian, Ying Qian, Aimin Zhou:
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems. 5824-5832 - Luca Salvatore Lorello, Marco Lippi, Stefano Melacci:
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge. 5833-5841 - Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang:
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. 5842-5850 - Zhijie Lu, Wuxuan Shi, He Li, Mang Ye:
Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification. 5851-5859 - Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang:
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering. 5860-5868 - Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang:
Guiding LLM-based Smart Contract Generation with Finite State Machine. 5869-5877 - Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu:
Find and Perceive: Tell Visual Change with Fine-Grained Comparison. 5878-5886 - Song-Lin Lv, Yu-Yang Chen, Zhi Zhou, Ming Yang, Lan-Zhe Guo:
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM. 5887-5895 - Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan:
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis. 5896-5904 - Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen:
Expanding the Category of Classifiers with LLM Supervision. 5905-5913 - Lin Ma, Liang Hu, Qiang Huang, Pingting Hao, Juncheng Hu:
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery. 5914-5922 - Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu:
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search. 5923-5931 - Mikolaj Malkinski, Jacek Mandziuk:
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning. 5932-5940 - Mikolaj Malkinski, Jacek Mandziuk:
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks. 5941-5949 - Nikolaos Manginas, George Paliouras, Luc De Raedt:
NeSyA: Neurosymbolic Automata. 5950-5958 - Hanyang Meng, Jielong Yang, Li Peng:
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment. 5959-5966 - Ni Mu, Yao Luan, Yiqin Yang, Bo Xu, Qing-Shan Jia:
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning. 5967-5975 - Michal Nauman, Mateusz Ostaszewski, Marek Cygan:
A Case for Validation Buffer in Pessimistic Actor-Critic. 5976-5984 - Duy A. Nguyen, Abhi Kamboj, Minh N. Do:
Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning. 5985-5993 - Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le:
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. 5994-6002 - Harsh Pal, Sarthak Malik, Rajat Patel, Aakarsh Malhotra:
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation. 6003-6011 - Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang:
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning. 6012-6020 - Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo:
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach. 6021-6029 - Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu:
LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting. 6030-6038 - Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu:
Stability and Generalization for Stochastic (Compositional) Optimizations. 6039-6047 - Kijeong Park, Sungchul Hong, Jong-June Jeon:
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting. 6048-6056 - Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu:
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm. 6057-6065 - Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng:
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. 6066-6074 - Giuseppe Pirrò:
Heterophily-Aware Personalized PageRank for Node Classification. 6075-6083 - Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng:
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. 6084-6092 - Yuming Qiao, Yuechen Wang, Dan Meng, Haonan Lu, Zhenyu Yang, Xudong Zhang:
MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG. 6093-6101 - Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen, Mengzhu Wang:
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning. 6102-6110 - Rudy Raymond, Zichang He:
Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent. 6111-6119 - Andreas Roth, Thomas Liebig:
What Can We Learn From MIMO Graph Convolutions? 6120-6128 - Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo:
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. 6129-6137 - Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo:
In-Context Meta LoRA Generation. 6138-6146 - Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu:
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer. 6147-6155 - Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu:
HGEN: Heterogeneous Graph Ensemble Networks. 6156-6163 - Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang:
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. 6164-6172 - Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang:
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. 6173-6181 - Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li:
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. 6182-6190 - Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang:
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. 6191-6199 - Zunhai Su, Hanyu Wei, Zhe Chen, Wang Shen, Linge Li, Huangqi Yu, Kehong Yuan:
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations. 6200-6208 - Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang:
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. 6209-6218 - Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo:
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. 6219-6226 - Hao Tang, Shengfeng He, Jing Qin:
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning. 6227-6235 - Huidong Tang, Chen Li, Sayaka Kamei, Yoshihiro Yamanishi, Yasuhiko Morimoto:
InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization. 6236-6244 - Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou:
Avoiding Undesired Future with Sequential Decisions. 6245-6253 - Martin Tappler, Ignacio D. Lopez-Miguel, Sebastian Tschiatschek, Ezio Bartocci:
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement. 6254-6262 - Zilin Tian, Yunfei Long, Liguo Zhang, Jiahong Zhao:
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain. 6263-6271 - Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu:
Meta Label Correction with Generalization Regularizer. 6272-6280 - Sergio M. Vanegas Arias, Lasse Lensu, Fredy Ruiz Palacios:
A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling. 6281-6288 - Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang:
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection. 6289-6297 - Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang:
Learning Robust Multi-view Representation Using Dual-masked VAEs. 6298-6306 - Jinming Wang, Hongkai Wen, Geyong Min, Man Luo:
High-Fidelity Road Network Generation with Latent Diffusion Models. 6307-6315 - Kaixiang Wang, Xiaojian Ding, Fan Yang:
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning. 6316-6324 - Libin Wang, Yulong Wang, Xinwei He, Qiwei Xie, Kit Ian Kou, Yuan Yan Tang:
From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery. 6325-6333 - Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wangyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao:
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. 6334-6342 - Peng Wang, Shoupeng Lu, Hao Yin, Banglie Yang, Tianli Zhu, Cheng Dai:
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation. 6343-6351 - Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao:
A Simple yet Effective Hypergraph Clustering Network. 6352-6360 - Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao:
Efficient Multi-view Clustering via Reinforcement Contrastive Learning. 6361-6369 - Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding:
Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data. 6370-6378 - Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang:
Fair Incomplete Multi-View Clustering via Distribution Alignment. 6379-6387 - Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin:
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. 6388-6396 - Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao:
Towards Robust Incremental Learning Under Ambiguous Supervision. 6397-6405 - Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang:
An Association-based Fusion Method for Speech Enhancement. 6406-6414 - Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo:
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering. 6415-6423 - Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen:
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning. 6424-6432 - Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng:
In-context Learning Demonstration Generation with Text Distillation. 6433-6441 - Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao:
Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. 6442-6450 - Xinxin Wang, Yongshan Zhang, Yicong Zhou:
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering. 6451-6459 - Xu Wang, Dongchen Zhu, Jiamao Li:
A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes. 6460-6468 - Xuyang Wang, Siyuan Duan, Qizhi Li, Guiduo Duan, Yuan Sun, Dezhong Peng:
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks. 6469-6477 - Yangchuan Wang, Lianhong Ding, Peng Shi:
AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations. 6478-6486 - Yi Wang, Changqin Huang, Ming Li, Tingyi Cai, Zhonglong Zheng, Xiaodi Huang:
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning. 6487-6495 - Yiming Wang, Kaiyan Zhao, Yan Li, Leong Hou U:
BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning. 6497-6505 - Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao:
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. 6506-6514 - Zilong Wang, Jiongda Wang, Xiaoyong Chen, Meng Wang, Ming Ma, ZhiPeng Wang, Zhenyu Zhou, Tianming Yang, Wang-Zhou Dai:
From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning. 6515-6523 - Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang:
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain. 6524-6532 - Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo:
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts. 6533-6541 - Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong:
Evolvable Conditional Diffusion. 6542-6551 - Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang:
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. 6552-6560 - Hyowon Wi, Jeongwhan Choi, Noseong Park:
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. 6561-6569 - Benyu Wu, Wei Du, Jun Wang, Guoxian Yu:
Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation. 6570-6578 - Peihan Wu, Hongda Qi, Sirong Huang, Dongdong An, Jie Lian, Qin Zhao:
Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation. 6579-6587 - Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng:
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric. 6588-6596 - Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi:
General Incomplete Time Series Analysis via Patch Dropping Without Imputation. 6597-6605 - Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang, Zhong Zhou:
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary. 6606-6614 - Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang:
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. 6615-6623 - Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu:
LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment. 6624-6632 - Shuyin Xia, Yifan Wang, Lifeng Shen, Guo-Yin Wang:
Granular-Ball-Induced Multiple Kernel K-Means. 6633-6641 - Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng:
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing. 6642-6649 - Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian:
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation. 6650-6658 - Wenhan Xian, Feihu Huang, Heng Huang:
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. 6659-6668 - Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu:
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation. 6669-6677 - Yutong Xie, Fuchao Yang, Yuheng Jia:
Partial Label Clustering. 6678-6686 - Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen:
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information. 6687-6695 - Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang:
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern. 6696-6704 - Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou:
On the Generalization of Feature Incremental Learning. 6705-6713 - Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu:
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction. 6714-6722 - Fan Xu, Wuyang Chen, Wei Gao:
On the Learning with Augmented Class via Forests. 6723-6731 - Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu:
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. 6732-6739 - Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du:
Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction. 6740-6748 - Xianliang Xu, Ye Li, Zhongyi Huang:
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations. 6749-6757 - Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan, Rui Yang, Dong Zhao, Luyang Mei:
Predicting Spectral Information for Self-Supervised Signal Classification. 6758-6766 - Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu:
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks. 6767-6775 - Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang:
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions. 6776-6784 - Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng:
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification. 6785-6793 - Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang:
Multi-view Clustering via Multi-granularity Ensemble. 6794-6802 - Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou:
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. 6803-6811 - Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, Lijun Zhang:
Smoothed Online Convex Optimization with Delayed Feedback. 6812-6820 - Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Yuqing Ma, Sheng Han, Kai Lv:
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination. 6821-6829 - Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu:
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. 6830-6838 - Rongguang Ye, Ming Tang:
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. 6839-6847 - Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou:
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models. 6848-6856 - Xiaomeng Ye, David Leake, Yu Wang, David Crandall:
Run Like a Neural Network, Explain Like k-Nearest Neighbor. 6857-6865 - Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk:
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization. 6866-6874 - Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito:
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. 6875-6885 - Chong Yu, Tao Chen, Zhongxue Gan:
Boost Embodied AI Models with Robust Compression Boundary. 6886-6894 - Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng:
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning. 6895-6903 - Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng:
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. 6904-6912 - Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang:
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization. 6913-6921 - Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang, Peng Cheng:
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization. 6922-6930 - Jidong Yuan, Qihang Zhang, Naiyue Chen, Shengbo Chen, Baomin Xu:
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer. 6931-6939 - Li Yuan, Yi Cai, Xudong Shen, Qing Li, Qingbao Huang, Zikun Deng, Tao Wang:
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction. 6940-6948 - Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Mulin Chen, Xuelong Li:
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance. 6949-6957 - Zhuoxin Zhan, Ke Wang, Pulei Xiong:
Accelerating Adversarial Training on Under-Utilized GPU. 6958-6966 - Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu:
Rethinking Federated Graph Learning: A Data Condensation Perspective. 6967-6975 - Haobo Zhang, Hengquan Guo, Xin Liu:
On the Power of Optimism in Constrained Online Convex Optimization. 6976-6983 - Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao, Fangzhen Lin:
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning. 6984-6992 - Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang:
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. 6993-7001 - Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang:
Model Rake: A Defense Against Stealing Attacks in Split Learning. 7002-7010 - Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu:
Aligning Contrastive Multiple Clusterings with User Interests. 7011-7019 - Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu:
LEKA: LLM-Enhanced Knowledge Augmentation. 7020-7028 - Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. 7029-7037 - Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li:
QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives. 7038-7046 - Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao:
Federated Stochastic Bilevel Optimization with Fully First-Order Gradients. 7047-7055 - Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv:
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness. 7056-7064 - Yunxia Zhang, Mingchen Sun, Yutong Zhang, Funing Yang, Ying Wang:
Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation. 7065-7073 - Zirui Zhang, Donghai Guan, Çetin Kaya Koç, Jie Wen, Qi Zhu:
AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling. 7074-7082 - Kaiyan Zhao, Yiming Wang, Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu:
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning. 7083-7091 - Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu:
Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information. 7092-7100 - Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen:
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation. 7101-7109 - Shiman Zhao, Shangyuan Li, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong:
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection. 7110-7118 - Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui, Tingting Chai:
High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering. 7119-7127 - Xinlong Zhao, Jiande Sun, Jia Zhang, Tong Liu, Ke Liu:
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor. 7128-7136 - Yiyang Zhao, Chengpei Wu, Lilin Zhang, Ning Yang:
Negative Metric Learning for Graphs. 7137-7145 - Guangtao Zheng, Wenqian Ye, Aidong Zhang:
ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models. 7146-7154 - Jiankai Zheng, Liang Xie:
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting. 7155-7163 - Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png:
Dual-Balancing for Physics-Informed Neural Networks. 7164-7172 - Wujun Zhou, Shu Ding, Zelin Li, Wei Wang:
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning. 7173-7181 - Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang:
Robustness to Spurious Correlations via Dynamic Knowledge Transfer. 7182-7190 - Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhui:
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. 7191-7199 - Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen:
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space. 7200-7208 - Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen:
Fault Diagnosis in REDNet Model Space. 7209-7217 - Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song:
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. 7218-7226 - Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo:
CGI: Identifying Conditional Generative Models with Example Images. 7227-7235 - Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong:
Injecting Imbalance Sensitivity for Multi-Task Learning. 7236-7244 - Bowei Zhu, Shaojie Li, Yong Liu:
Towards Improved Risk Bounds for Transductive Learning. 7245-7253 - Feiyu Zhu, Jean Oh, Reid G. Simmons:
Sample-Efficient Behavior Cloning Using General Domain Knowledge. 7254-7262 - Ye Zhu, Xiaowen Gong, Shiwen Mao:
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning. 7263-7271 - Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu:
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee. 7272-7281 - Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren:
Robust Graph Contrastive Learning for Incomplete Multi-view Clustering. 7282-7290 - Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu:
Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations. 7291-7299 - Chen-Chen Zong, Tong Jin, Sheng-Jun Huang:
Inconsistency-Based Federated Active Learning. 7300-7308 - Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang:
Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion. 7309-7317
Multidisciplinary Topics and Applications
- Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen:
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework. 7319-7328 - Ben Bals, Michelle Döring, Nicolas Klodt, George Skretas:
Dynamic Network Discovery via Infection Tracing. 7329-7337 - Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu:
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks. 7338-7346 - Qi Chen, Zhiqiong Wang, Jiaxin Li, Jinying Tao, Junchang Xin:
TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information. 7347-7355 - Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li:
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. 7356-7364 - Federico Cinus, Atsushi Miyauchi, Yuko Kuroki, Francesco Bonchi:
Minimizing Polarization and Disagreement in the Friedkin-Johnsen Model with Unknown Innate Opinions. 7365-7373 - Jiaxu Cui, Qipeng Wang, Yiming Zhao, Bingyi Sun, Pengfei Wang, Bo Yang:
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting. 7374-7382 - Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo:
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. 7383-7391 - Jiayi Dong, Jiahao Li, Fei Wang:
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction. 7392-7400 - Wenkang Han, Wang Lin, Liya Hu, Zhenlong Dai, Yiyun Zhou, Mengze Li, Zemin Liu, Chang Yao, Jingyuan Chen:
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer. 7401-7409 - Xiaodi Hou, Xiaobo Li, Mingyu Lu, Simiao Wang, Yijia Zhang:
RRG-Mamba: Efficient Radiology Report Generation with State Space Model. 7410-7418 - Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu:
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation. 7419-7427 - Anastasia Isychev, Valentin Wüstholz, Maria Christakis:
Lazy Testing of Machine-Learning Models. 7428-7436 - Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan:
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models. 7437-7445 - Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu:
Bridging Local and Global Knowledge via Transformer in Board Games. 7446-7454 - Li Kuang, Qi Xie, Haiyang Yang, Yang Yang, Xiang Wei, HaoYue Kang, Yingjie Xia:
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph. 7455-7463 - Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong:
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. 7464-7472 - Liangqi Lei, Keke Gai, Jing Yu, Liehuang Zhu, Qi Wu:
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios. 7473-7481 - Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang:
Diffusion Guided Propagation Augmentation for Popularity Prediction. 7482-7490 - Jiayi Li, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao:
DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion. 7491-7499 - Shicheng Li, Jinshan Zhang, Feng Wang:
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection. 7500-7508 - Xinjie Li, Abhinav Verma:
RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis. 7509-7517 - Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang:
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction. 7518-7526 - Zhengze Li, Zilin Song, Tingting Yuan, Xiaoming Fu:
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting. 7527-7535 - Anchen Lin, Weikun Wang, Haijun Han, Fanwei Zhu, Qi Ma, Zengwei Zheng, Binbin Zhou:
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis. 7536-7544 - Xiaoli Lin, Xiongwei Liao, Jun Pang, Bo Li, Xiaolong Zhang:
PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion. 7545-7553 - Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng:
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. 7554-7562 - Jiaqi Liu, Jiaxu Cui, Shiang Sun, Yizhu Zhao, Bo Yang:
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations. 7563-7571 - Ruirui Liu, Huichou Huang, Johannes Ruf:
Asset Pricing with Contrastive Adversarial Variational Bayes. 7572-7579 - Weixing Liu, Shenghua Zhong:
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs. 7580-7588 - Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du:
FBQuant: FeedBack Quantization for Large Language Models. 7589-7597 - Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang:
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training. 7598-7606 - Yang Luo, Qingni Shen, Zhonghai Wu:
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation. 7607-7615 - Yang Luo, Qingni Shen, Zhonghai Wu:
LPDetective: Dusting the LLM Chats for Prompt Template Abusers. 7616-7624 - Yang Luo:
Can We Translate Code Better with LLMs and Call Graph Analysis? 7625-7633 - Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang:
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving. 7634-7642 - Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi:
Fine-Grained and Efficient Self-Unlearning with Layered Iteration. 7643-7651 - Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier, Levi H. S. Lelis:
InnateCoder: Learning Programmatic Options with Foundation Models. 7652-7660 - Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen:
Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory. 7661-7669 - Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan:
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. 7670-7678 - Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen, Nhien-An Le-Khac:
Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation. 7679-7687 - Minwoo Oh, Minsu Park, Eunil Park:
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline. 7688-7696 - Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han:
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation. 7697-7705 - Filipe Rodrigues:
Diffusion-aware Censored Gaussian Processes for Demand Modelling. 7706-7714 - Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu:
BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models. 7715-7723 - Xiangxiang Shen, Zheng Wan, Lingfeng Wen, Licheng Sun, Jian Yang, Xuan Tang, Shing-Ho J. Lin, Xiao He, Mingsong Chen, Xian Wei:
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction. 7724-7732 - Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen:
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction. 7733-7741 - Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko:
LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming. 7742-7750 - Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun:
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems. 7751-7759 - Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang:
Robust Misinformation Detection by Visiting Potential Commonsense Conflict. 7760-7768 - Daoyuan Wang, Lu Gao, Wenlan Chen, Cheng Liang, Fei Guo:
Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics. 7769-7777 - Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen:
ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting. 7778-7785 - Hongyu Wang, Lisi Chen, Shuo Shang:
TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference. 7786-7794 - Ning Wang, Zihan Yan, Weiyang Li, Chuan Ma, He Henry Chen, Tao Xiang:
Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation. 7795-7803 - Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang, Fang Wang, Cunquan Qu:
Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction. 7804-7812 - Suixue Wang, Shilin Zhang, Huiyuan Lai, Weiliang Huo, Qingchen Zhang:
POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction. 7813-7821 - Xiaoguang Wang, Chenxu Wang, Luyue Zhang, Xiaole Wang, Mengqin Wang, Huanlong Liu, Tao Qin:
Attention-based Conditional Random Field for Financial Fraud Detection. 7822-7830 - Feiyue Wu, Tianxing Wu, Shenqi Jing:
ARMR: Adaptively Responsive Network for Medication Recommendation. 7831-7839 - Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng:
Electron Density-enhanced Molecular Geometry Learning. 7840-7848 - Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang:
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. 7849-7857 - Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia:
EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos. 7858-7866 - Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang:
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data. 7867-7875 - Haoran Yang, Yinan Zhang, Qunshan He, Yuqi Ye, Jing Zhao, Wenhai Wang:
UltraModel: A Modeling Paradigm for Industrial Objects. 7876-7884 - Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du, Ruijun Deng:
Backdoor Attack on Vertical Federated Graph Neural Network Learning. 7885-7893 - Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian:
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. 7894-7903 - Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang:
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. 7904-7912 - Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung:
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning. 7913-7921 - Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa:
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss. 7922-7930 - Peiliang Zhang, Jingling Yuan, Chao Che, Yongjun Zhu, Lin Li:
Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning. 7931-7939 - Tianlin Zhang, En Yu, Yi Shao, Jiande Sun:
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection. 7940-7948 - Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng:
Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach. 7949-7957 - Jiaqi Zheng, Qing Ling, Yerong Feng:
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction. 7958-7966 - Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao:
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. 7967-7975 - Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma:
Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving. 7976-7984 - Jianhou Zhou, Xiaolong Zhou, Sixian Chan, Zhaomin Chen, Xiaoqin Zhang:
Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform. 7985-7993 - Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng:
DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation. 7994-8002 - Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen:
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis. 8003-8011 - Ye Zhu, Yunan Wang, Zitong Yu:
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning. 8012-8020
Natural Language Processing
- Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong, Hao Peng, Jianwei Yin:
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization. 8022-8030 - Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
ChronoFact: Timeline-based Temporal Fact Verification. 8031-8039 - Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang, Youdian Gao, Xiaoke Yang, Zhengqi Wen, Zhao Lv:
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction. 8040-8048 - Fanghao Fan, Yingjie Xia, Li Kuang:
SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph. 8049-8057 - Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu:
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. 8058-8067 - Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao:
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training. 8068-8076 - Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei:
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection. 8077-8085 - Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang:
TreeKV: Smooth Key-Value Cache Compression with Tree Structures. 8086-8094 - Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan:
Efficient Dynamic Ensembling for Multiple LLM Experts. 8095-8103 - Manzong Huang, Chenyang Bu, Yi He, Xindong Wu:
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. 8104-8112 - Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon:
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant. 8113-8121 - Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li:
BridgeVoC: Neural Vocoder with Schrödinger Bridge. 8122-8130 - Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin, Xiaodong Li, Chengshi Zheng:
Learning Neural Vocoder from Range-Null Space Decomposition. 8131-8140 - Jie Li, Shifei Ding, Lili Guo, Xuan Li:
Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation. 8141-8149 - Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao:
Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model. 8150-8158 - Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang:
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. 8159-8167 - Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang:
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation. 8168-8176 - Xinhe Li, Jiajun Liu, Peng Wang:
Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction. 8177-8185 - Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang:
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. 8186-8194 - Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo:
Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty. 8195-8203 - Zhaoxi Mu, Xinyu Yang, Gang Wang:
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation. 8204-8212 - Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang:
Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. 8213-8221 - Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu:
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. 8222-8230 - Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan:
R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases. 8231-8240 - Dominic Simon, Rickard Ewetz:
Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis. 8241-8249 - Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang:
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis. 8250-8258 - Peng Wang, Shuo Li, Ruoxi Zhou, Qiguang Chen, Xiao Xu, Hao Fei, Dagang Li, Wanxiang Che, Libo Qin:
Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration. 8259-8267 - Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang, Peihao Chen, Yu Hu, Qianyue Wang, Zhuliang Yu, Bin Sun, Xiaofen Xing, Qingfang Zheng, Mingkui Tan:
Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance. 8268-8276 - Mingrun Wei, Yeyu Yan, Dong Wang:
MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching. 8277-8285 - Xiao Wei, Xiaobao Wang, Ning Zhuang, Chenyang Wang, Longbiao Wang, Jianwu Dang:
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework. 8286-8294 - Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li:
SetKE: Knowledge Editing for Knowledge Elements Overlap. 8295-8303 - Bo Xu, Liangzhi Li, Junlong Wang, Xuening Qiao, Erchen Yu, Yiming Qian, Linlin Zong, Hongfei Lin:
Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support. 8304-8312 - Huangming Xu, Fu Zhang, Jingwei Cheng, Xin Li:
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction. 8313-8321 - Xin Xu, Shizhe Diao, Can Yang, Yang Wang:
Can We Verify Step by Step for Incorrect Answer Detection? 8322-8330 - Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu:
Beyond Fixed Length: Bucket Pre-training is All You Need. 8331-8338 - Xinyu Yao, Mengdi Wang, Bo Chen, Xiaobing Zhao:
WenyanGPT: A Large Language Model for Classical Chinese Tasks. 8339-8347 - Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo:
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. 8348-8356 - Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang:
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis. 8357-8365 - Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang:
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning. 8366-8374 - Yang Zhang, Yu Yu, Bo Tang, Yu Zhu, Chuxiong Sun, Wenqiang Wei, Jie Hu, Zipeng Xie, Zhiyu Li, Feiyu Xiong, Edward Chung:
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models. 8375-8383 - Yunxiao Zhang, Guanming Xiong, Haochen Li, Wen Zhao:
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness. 8384-8392 - Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He:
Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis. 8393-8401 - Wenhao Zhu, Yuhang Xie, Guojie Song, Xin Zhang:
EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs. 8402-8410 - Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu:
Learning Causally Disentangled Representations for Fair Personality Detection. 8411-8419 - Zhengzhong Zhu, Pei Zhou, Zeting Li, Kejiang Chen, Jiangping Zhu:
Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning. 8420-8428
Planning and Scheduling
- Abdallah Abu-Aisha, Bojie Shen, Daniel Damir Harabor, Peter J. Stuckey, Mark Wallace:
Dynamic Replanning for Improved Public Transport Routing. 8430-8437 - Michael Aichmüller, Hector Geffner:
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning. 8438-8446 - Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Moshe Y. Vardi:
LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces. 8447-8455 - Ángel Aso-Mollar, Diego Aineto, Enrico Scala, Eva Onaindia:
Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions. 8456-8464 - Tal Berman, Ronen I. Brafman, Erez Karpas:
Online Planning in MDPs with Stochastic Durative Actions. 8465-8473 - Matteo Cardellini, Enrico Giunchiglia:
Rolling in Classical Planning with Conditional Effects and Constraints. 8474-8482 - Andrew Coles, Erez Karpas, Solomon Eyal Shimony, Shahaf S. Shperberg, Wheeler Ruml:
Concurrent Planning and Execution Using Dispatch-Dependent Values. 8483-8490 - Giuseppe De Giacomo, Yong Li, Sven Schewe, Christoph Weinhuber, Pian Yu:
Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives. 8491-8499 - Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan:
Improvements to the Generate-and-Complete Approach to Conformant Planning. 8500-8509 - Stefan Funke, Daniel Koch, Claudius Proissl, Christian Staib, Felix Weitbrecht:
Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths. 8510-8517 - Maris F. L. Galesloot, Roman Andriushchenko, Milan Ceska, Sebastian Junges, Nils Jansen:
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs. 8518-8526 - Christodoulos Karavasilis:
Interval Selection with Binary Predictions. 8527-8535 - Edward Kim, Hanna Kurniawati:
Partially Observable Reference Policy Programming. 8536-8543 - Richard Levinson, Vinay Ravindra, Sreeja Roy-Singh:
Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage. 8544-8553 - Ruixiao Li, Fahao Chen, Peng Li:
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency. 8554-8562 - Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan:
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition. 8563-8571 - Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini:
Proactive Data-driven Scheduling of Business Processes. 8572-8581 - Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang:
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems. 8582-8590 - Boshen Pan, Yaoxin Wu, Zhiguang Cao, Yaqing Hou, Guangyu Zou, Qiang Zhang:
Preference-based Deep Reinforcement Learning for Historical Route Estimation. 8591-8599 - Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg, Mauro Vallati:
An Approach to Quantify Plans Robustness in Real-world Applications. 8600-8607 - Martín Pozo, Jendrik Seipp:
Abstraction Heuristics for Classical Planning Tasks with Conditional Effects. 8608-8616 - Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes:
A Finite-State Controller Based Offline Solver for Deterministic POMDPs. 8617-8625 - Matan Shamir, Reuth Mirsky:
GRAML: Goal Recognition As Metric Learning. 8626-8634 - Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. 8635-8643 - Zheyuan Shi, Hao Dong, Yongmei Liu:
Solving QNP and FOND+ with Generating, Testing and Forbidding. 8644-8651 - Rasmus G. Tollund, Kim G. Larsen, Álvaro Torralba:
What Makes You Special? Contrastive Heuristics Based on Qualified Dominance. 8652-8660 - Alexander Tuisov, Evgeny Mishlyakov, Alexander Shleyfman, Erez Karpas:
Towards a Unified View of Social Laws with Instantaneous Actions. 8661-8668 - Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang:
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning. 8669-8677 - Bin Xu, Yiguan Lin, Yinghao Li, Yang Gao:
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation. 8678-8686 - Junjie Zhang, Canhui Luo, Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Junwen Ding, Yan Jin:
NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models. 8687-8695 - Yifan Zhang, Pascal Bercher:
Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation. 8696-8704 - Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li:
Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model. 8705-8713
Robotics
- Xinglin Chen, Yishuai Cai, Minglong Li, Yunxin Mao, Zhou Yang, Wenjing Yang, Weixia Xu, Ji Wang:
BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots. 8715-8723 - Xingyu Chen, Jiayi Xie, Zhijian Xu, Ruixun Liu, Shuai Yang, Zeyang Liu, Lipeng Wan, Xuguang Lan:
State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator. 8724-8732 - Kai Di, Tienyu Zuo, Pan Li, Yuanshuang Jiang, Fulin Chen, Yichuan Jiang:
Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments. 8733-8740 - Yingbo Luo, Meibao Yao, Xueming Xiao:
GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning. 8741-8749 - Monu Nagar, Debasis Das:
Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning. 8750-8758 - Jingyi Nie, Liangliang Cai, Qichuan Geng, Zhong Zhou:
Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes. 8759-8767 - Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart:
Imitation Learning via Focused Satisficing. 8768-8777 - Shen Tan, Dong Zhou, Xiangyu Shao, Junqiao Wang, Guanghui Sun:
Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models. 8778-8786 - Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo, Jingyuan Li, Haisheng Li, Weiliang Meng, Xiaopeng Zhang:
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement. 8787-8795 - Haitao Wang, Hejun Wu:
DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control. 8796-8804 - Shengpeng Wang, Xin Luo, Yulong Xie, Wei Wang:
SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion. 8805-8813 - Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li, Jianan Wang, En Zhu, Jinjing Sun:
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models. 8814-8822 - Heyuan Zheng, Yunji Liang, Lei Liu, Zhiwen Yu:
DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation. 8823-8831
Search
- Yasser Alghouass, Benjamin Doerr, Martin S. Krejca, Mohammed Lagmah:
Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II. 8833-8841 - Denis Antipov, Benjamin Doerr:
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It. 8842-8849 - Abderrahim Bendahi, Benjamin Doerr, Adrien Fradin, Johannes F. Lutzeyer:
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator. 8850-8857 - Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt:
Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem. 8858-8866 - Renzhong Deng, Weijie Zheng, Benjamin Doerr:
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III). 8867-8875 - Benjamin Doerr, Martin S. Krejca, Andre Opris:
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm. 8876-8884 - Mingfeng Li, Weijie Zheng, Benjamin Doerr:
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy. 8885-8893 - Shishen Lin:
Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback. 8894-8902 - Andre Opris:
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update. 8903-8911 - Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang:
LiBOG: Lifelong Learning for Black-Box Optimizer Generation. 8912-8920 - Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian:
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization. 8921-8929 - Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata:
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. 8930-8938 - Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. 8939-8947 - Isaac Stone, Nathan R. Sturtevant, Jonathan Schaeffer:
Set-Based Retrograde Analysis: Precomputing the Solution to 28-card Bridge Double Dummy Deals. 8948-8955 - Rui Sun, Xinyu Wang, Yiyuan Wang, Jiangnan Li, Yi Zhou:
A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem. 8956-8965 - Rui Sun, Zhaohui Liu, Yiyuan Wang, Han Xiao, Jiangnan Li, Jiejiang Chen:
NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem. 8966-8976 - Rui Sun, Peiyan Liu, Yiyuan Wang, Zhaohui Liu, Liping Du, Jian Gao:
InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Massive Graphs. 8977-8986 - Yi Wang, Eyal Weiss, Bingxian Mu, Oren Salzman:
Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions. 8987-8995 - Jihao Zhai, Junzhong Ji, Jinduo Liu:
Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. 8996-9004 - Qingyun Zhang, Zhipeng Lü, Junwen Ding, Zhouxing Su:
A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem. 9005-9013 - Jiongzhi Zheng, Mingming Jin, Kun He:
Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem. 9014-9021 - Chenghao Zhu, Yi Zhou, Haoyu Jiang:
A Reduction-Based Algorithm for the Clique Interdiction Problem. 9022-9030 - Alvin Zou, Muhammad Suhail Saleem, Maxim Likhachev:
Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning. 9031-9038
Uncertainty in AI
- S. Akshay, Supratik Chakraborty, Soroush Farokhnia, Amir Kafshdar Goharshady, Harshit Jitendra Motwani, Dorde Zikelic:
LP-Based Weighted Model Integration over Non-Linear Real Arithmetic. 9040-9048 - Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi:
Most Probable Explanation in Probabilistic Answer Set Programming. 9049-9057 - Luise Ge, Brendan Juba, Kris Nilsson:
Polynomial-Time Relational Probabilistic Inference in Open Universes. 9058-9067 - Hui Liu, Shiye Tian, Xuejun Liu:
Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders. 9068-9076 - Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig:
Approximate Lifted Model Construction. 9077-9085 - Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao:
LLM-enhanced Score Function Evolution for Causal Structure Learning. 9086-9094 - Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou:
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags. 9095-9103 - Yunpeng Xu, Mufang Ying, Wenge Guo, Zhi Wei:
Two-stage Risk Control with Application to Ranked Retrieval. 9104-9111 - Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen:
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. 9112-9120 - Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li, Jiamou Liu:
Situational-Constrained Sequential Resources Allocation via Reinforcement Learning. 9121-9129
AI4Tech: AI Enabling Technologies
Uncertainty in AI
- Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin, Feng Xia:
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection. 9131-9139 - Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng:
DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Dark. 9140-9148 - Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang:
RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement. 9149-9157 - Jiaxiang Cheng, Yipeng Pang, Guoqiang Hu:
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision. 9158-9166 - Jisheng Dang, Shengjun Deng, Haochen Chang, Teng Wang, Bimei Wang, Shude Wang, Nannan Zhu, Guo Niu, Jingwen Zhao, Jizhao Liu:
Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency. 9167-9175 - Ankan Dash, Jingyi Gu, Guiling Wang, Chen Chen:
Eye-See-You: Reverse Pass-Through VR and Head Avatars. 9176-9184 - Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang:
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. 9185-9193 - Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Diversity-Aware Reinforcement Learning for de novo Drug Design. 9194-9204 - Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao:
Unified Molecule-Text Language Model with Discrete Token Representation. 9205-9213 - Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan, Zhihong Zhang:
Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach. 9214-9222 - Muhammad Sakib Khan Inan, Kewen Liao:
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries. 9223-9231 - Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang:
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting. 9232-9240 - Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang:
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. 9241-9249 - Tingting Li, Ziming Zhao, Jianwei Yin:
Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches. 9250-9258 - Wenjing Li, Zhao Li, Xuanwu Liu, Ruihao Zhu, Zhenzhe Zheng, Fan Wu:
Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning. 9259-9267 - Jingjin Liu, Yingkai Xiao, Hankz Hankui Zhuo, Wushao Wen:
TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization. 9268-9276 - Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen:
CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq. 9277-9285 - Sukanya Mandal, Noel E. O'Connor:
CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins. 9286-9295 - Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan:
The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation. 9296-9304 - Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne:
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts. 9305-9312 - Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran, Quang H. Nguyen, Binh P. Nguyen:
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining. 9313-9321 - Feihong Shen, Yuer Ye:
AI4TRT: Automatic Simulation of Teeth Restoration Treatment. 9322-9329 - Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth:
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. 9330-9338 - Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang:
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. 9339-9348 - Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin:
Horae: A Domain-Agnostic Language for Automated Service Regulation. 9349-9356 - Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, Kiyoshi Izumi:
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. 9357-9365 - Zhenyu Tao, Wei Xu, Xiaohu You:
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization. 9366-9374 - Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang:
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing. 9375-9383 - Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love, Christopher G. Brinton:
Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis. 9384-9392 - Yichi Wang, Tian Huang, Dandan Huang, Zhaohai Bai, Xuan Wang, Lin Ma, Haodi Zhang:
Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations. 9393-9401 - Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Lu Bai, Qianlei Jia, Mir Feroskhan:
SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness. 9402-9410 - Hongxin Xie, Jiande Sun, Fanfu Xue, Zifei Han, Shanshan Feng, Qi Chen:
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Prediction. 9411-9419 - Xiaofei Xu, Xiuzhen Zhang, Ke Deng:
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques. 9420-9428 - Fengqin Yang, Dekui Zhao, Haoxuan Qiu, Yifei Li, Zhiguo Fu:
KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing. 9429-9437 - Yifan Yang, Jingyuan Wang, Xie Yu, Yibang Tang:
HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph. 9438-9446 - Yinghua Yao, Yuangang Pan, Xixian Chen:
Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space. 9447-9455 - Han Zhang, Yan Wang, Guanfeng Liu, Pengfei Ding, Huaxiong Wang, Kwok-Yan Lam:
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks. 9456-9464 - Haodi Zhang, Jiawei Wen, Jiahong Li, Yuanfeng Song, Liang-Jie Zhang, Lin Ma:
SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge. 9465-9473 - Pengcheng Zhang, Xiaohan Yu, Meiying Gu, Yuchen Wu, Yongsheng Gao, Xiao Bai:
Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models. 9474-9482 - Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen:
Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. 9483-9491 - Zhanwen Zhou, Hankz Hankui Zhuo, Jinghua Zhou, Wushao Wen:
Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing. 9492-9500 - Bingke Zhu, Xiaoxiao Wang, Minghui Jia, Yihan Tao, Xiao Kong, Ali Luo, Yingying Chen, Ming Tang, Jinqiao Wang:
FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records. 9501-9509
AI and Social Good
Uncertainty in AI
- Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza:
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. 9511-9519 - Alba Aguilera, Nardine Osman, Georgina Curto:
Agent-based Modeling Meets the Capability Approach for Human Development: Simulating Homelessness Policy-making. 9520-9528 - Aisha Aijaz, Arnav Batra, Aryaan Bazaz, Srinath Srinivasa, Raghava Mutharaju, Manohar Kumar:
Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AI. 9529-9537 - Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa:
SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis. 9538-9546 - Haitao Bai, Pinghui Wang, Ruofei Zhang, Ziyang Zhou, Juxiang Zeng, Yulou Su, Li Xing, Zhou Su, Chen Zhang, Lizhen Cui, Jun Hao, Wei Wang:
MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud. 9547-9554 - Shreya Banerjee, Soheil Saneei, Lisa Pham, Elliott Alexander Beaton, Henry Fordjour Ansah, Ben Samuel, Jenny Spicer, Huda Hammad, Amanda Stage:
An Interactive Game-based Multi-Agent AI System for Children's Social and Emotional Development. 9555-9563 - Frédéric Berdoz, Dustin Brunner, Yann Vonlanthen, Roger Wattenhofer:
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications. 9564-9572 - Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah:
Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning. 9573-9581 - Zirong Chen, Ziyan An, Jennifer Reynolds, Kristin Mullen, Stephen Martini, Meiyi Ma:
LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integration. 9582-9590 - Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica, Antonio Serino:
Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs. 9591-9600 - Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, David A. Lutz, Jean-Michel Morel, Miles R. Silman:
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms. 9601-9609 - Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei:
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. 9610-9618 - Jiwei Deng, Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, Weiqi Luo:
Denoised Attention and Question-Augmented Representations for Knowledge Tracing. 9619-9627 - Arka Dutta, Syed Mohammad Sualeh Ali, Usman Naseem, Ashiqur R. KhudaBukhsh:
Towards a Bipartisan Understanding of Peace and Vicarious Interactions. 9628-9637 - Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao:
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. 9638-9646 - Vasuki Garg, Osman Y. Özaltin, Maria E. Mayorga, Sherrie Bosisto:
Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning. 9647-9655 - Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao:
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. 9656-9664 - Fang He, Jiaqi Fan, Yang Deng, Xiaoyang Zhang, Ka Tai Lau, Dan Wang:
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation. 9665-9673 - Prabath Hetti Mudiyanselage, Ruwan B. Tennakoon, John Thangarajah, Robert Ware, Jason H. Callahan:
Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction. 9674-9682 - Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga, Siddharth Chaudhary, Madhav V. Marathe, S. S. Ravi, Kirti Rajagopalan, Amanda Wilson, Samarth Swarup:
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation. 9683-9691 - Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga, Samarth Swarup, Sayjro Kossi Nouwakpo, Amanda Wilson, Madhav V. Marathe:
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing. 9692-9700 - Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Chenhui Xu, Qingxiao Zheng, Heng Ji, Jinjun Xiong:
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework. 9701-9709 - Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa:
Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management. 9710-9718 - Lin Jiang, Dahai Yu, Rongchao Xu, Tian Tang, Guang Wang:
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration. 9719-9727 - Madhur Jindal, Saurabh Deshpande:
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs. 9728-9736 - Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin:
An Ethical Dataset from Real-World Interactions Between Users and Large Language Models. 9737-9745 - Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh, Asif Ekbal:
What is Beneath Misogyny: Misogynous Memes Classification and Explanation. 9746-9753 - Jonathan A. Karr Jr., Emory Smith, Matthew Hauenstein, Georgina Curto, Nitesh V. Chawla:
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma. 9754-9762 - Grigorii Khvatskii, Angélica García-Martínez, Deng Pan, Matthew Belcher, Gerónimo Medrano Loera, Dayana Pineda Pérez, Juan Emmanuel Ferrari Muñoz-Ledo, Horacio Márquez-González, Nuno Moniz, Nitesh V. Chawla:
Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities. 9763-9771 - Sulian Le Bozec-Chiffoleau, Dimitri Justeau-Allaire, Xavier Lorca, Charles Prud'homme, Gilles Simonin, Philippe Vismara, Philippe Birnbaum, Nicolas Rinck, Nicolas Beldiceanu:
Towards the 30 by 30 Kunming-Montreal Global Biodiversity Framework Target: Optimising Graph Connectivity in Constraint-Based Spatial Planning. 9772-9780 - Min Hun Lee, Sean Shao Wei Lam, Shaun Xin Hong Liew, Michael Dorosan, Nicholas Graves, Jonas Karlström, Hiang Khoon Tan, Walter Tsong Lee:
AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settings. 9781-9789 - Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo:
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. 9790-9798 - Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu:
Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models. 9799-9807 - Yue Mao, Zhongdi Qu, Imanol Miqueleiz, Aaron M. Ferber, Sami Wolf, Marc Grimson, Sebastian Heilpern, Felipe Siqueira Pacheco, Alexander S. Flecker, Peter B. McIntyre, Carla P. Gomes:
Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal. 9808-9817 - Zakaria Mehrab, S. S. Ravi, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan L. Lewis, Henning S. Mortveit, David Leblang, Madhav V. Marathe:
Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine. 9818-9826 - Benedetta Muscato, Lucia C. Passaro, Gizem Gezici, Fosca Giannotti:
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems. 9827-9835 - Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng:
SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. 9836-9844 - Sungwon Park, Dongjoon Lee, Kyeongjin Ahn, Yubin Choi, Junho Lee, Meeyoung Cha, Kyung Ryul Park:
Classifying and Tracking International Aid Contribution Towards SDGs. 9845-9852 - Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. 9853-9861 - Salam Michael Singh, Manik Inder Singh Sethi, Suresh Bada Math, Tanmoy Chakraborty:
SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India. 9862-9870 - Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang:
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System. 9871-9879 - Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets:
AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems. 9880-9889 - Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella:
Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderation. 9890-9898 - Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee:
DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis. 9899-9907 - Meng Wan, Tiantian Liu, Yuxuan Bi, Jue Wang, Hui Cui, Rongqiang Cao, Jiaxiang Wang, Peng Shi, Ningming Nie, Yangang Wang:
MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage. 9908-9917 - Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li:
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. 9918-9926 - Zheng Wei, Mingchen Li, Pu Zhang, Xinyu Liu, Huamin Qu, Pan Hui:
ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media. 9927-9935 - Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng:
City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data. 9936-9944 - Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu:
HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system. 9945-9953 - Chi Xu, Yili Jin, Sami Ma, Rongsheng Qian, Hao Fang, Jiangchuan Liu, Xue Liu, Edith C. H. Ngai, William I. Atlas, Katrina M. Connors, Mark A. Spoljaric:
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers. 9954-9962 - Tianjiao Xu, Jinfei Gao, Keyi Kong, Jianhua Yin, Tian Gan, Liqiang Nie:
Generative Agents for Multimodal Controversy Detection. 9963-9971 - Qihao Yang, Yu Yang, Sixu An, Tianyong Hao, Guandong Xu:
LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions. 9972-9980 - Mingruo Yuan, Ben Kao, Tien-Hsuan Wu:
QBR - A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public. 9981-9989 - Xiaoyan Yuan, Wei Wang, Han Liu, Jian Chen, Xiping Hu:
ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers. 9990-9998 - Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li:
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. 9999-10007 - Yixuan Zhao, Hongkai Wen, Xingchen Zhang, Man Luo:
BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling. 10008-10016 - Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang:
Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers. 10017-10025 - Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang:
Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning. 10026-10034
AI, Arts & Creativity
Uncertainty in AI
- Alexandre Bonlarron, Florian Régin, Elisabetta De Maria, Jean-Charles Régin:
Large Language Model Meets Constraint Propagation. 10036-10044 - Francisco Braga, Gilberto Bernardes, Roger B. Dannenberg, Nuno Correia:
Algorithmic Composition Using Narrative Structure and Tension. 10045-10053 - Geng Chen, Xufeng Jian, Yuchen Chen, Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Jing Wang, Jianxin Liao:
A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning. 10054-10062 - Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen:
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. 10063-10071 - Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin:
FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending. 10072-10080 - Jiasong Feng, Ao Ma, Jing Wang, Ke Cao, Zhanjie Zhang:
FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance. 10081-10089 - HsiaoYuan Hsu, Yuxin Peng:
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design. 10090-10098 - Mao Xun Huang, Brian J. Chan, Hen-Hsen Huang:
SmartSpatial: Enhancing 3D Spatial Awareness in Stable Diffusion with a Novel Evaluation Framework. 10099-10107 - Byungjun Kim, Minju Kim, Dayeon Seo, Bugeun Kim:
Leveraging Large Language Models for Active Merchant Non-player Characters. 10108-10116 - Carolyn Elizabeth Lamb, Daniel G. Brown, Maura R. Grossman:
Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers' Experiences with Generative AI. 10117-10125 - Dinh-Viet-Toan Le, Yi-Hsuan Yang:
METEOR: Melody-aware Texture-controllable Symbolic Music Re-Orchestration via Transformer VAE. 10126-10134 - Chang Li, Ruoyu Wang, Lijuan Liu, Jun Du, Yixuan Sun, Zilu Guo, Zhengrong Zhang, Yuan Jiang, Jianqing Gao, Feng Ma:
QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generation. 10135-10143 - Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan:
GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework. 10144-10152 - Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner:
Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora. 10153-10161 - Wonchul Shin, Kyogu Lee:
SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning. 10162-10170 - Damien Sprockeels, Peter Van Roy:
Towards a Practical Tool for Music Composition: Using Constraint Programming to Model Chord Progressions and Modulations. 10171-10179 - Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu:
AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing. 10180-10188 - Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama, Murtuza Jadliwala, Anindya Maiti:
A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks. 10189-10197 - Jiapeng Wang, Chengyu Wang, Jun Huang, Lianwen Jin:
Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis. 10198-10206 - Yashan Wang, Shangda Wu, Jianhuai Hu, Xingjian Du, Yueqi Peng, Yongxin Huang, Shuai Fan, Xiaobing Li, Feng Yu, Maosong Sun:
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms. 10207-10215 - Zihao Wang, Le Ma, Yuhang Jin, Yongsheng Feng, Xin Pan, Shulei Ji, Kejun Zhang:
AI-Assisted Human-Pet Artistic Musical Co-Creation for Wellness Therapy. 10216-10224 - Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng:
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. 10225-10233 - Sidan Zhu, Yutong Wang, Hongteng Xu, Dixin Luo:
Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency. 10234-10242 - Uros Zivanovic, Ivan Pilkov, Carlos Cancino Chacón:
Pay Attention to the Keys: Visual Piano Transcription Using Transformers. 10243-10251 - Heda Zuo, Liyao Sun, Zeyu Lai, Weitao You, Pei Chen, Lingyun Sun:
Intoner: For Chinese Poetry Intoning Synthesis. 10252-10260
Human-Centred AI
Uncertainty in AI
- Filipe Altoe, Sérgio Miguel Gonçalves Pinto, H. Sofia Pinto:
Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild. 10262-10270 - Carter Blair, Kate Larson, Edith Law:
Reflective Verbal Reward Design for Pluralistic Alignment. 10271-10279 - Guangrui Fan, Dandan Liu, Lihu Pan, Yishan Huang:
Creative Momentum Transfer: How Timing and Labeling of AI Suggestions Shape Iterative Human Ideation. 10280-10288 - Lin Jiang, Yu Yang, Guang Wang:
HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing. 10289-10297 - Tom Kouwenhoven, Max Peeperkorn, Roy De Kleijn, Tessa Verhoef:
Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication. 10298-10306 - Qihao Liang, Xichu Ma, Torin Hopkins, Ye Wang:
LivePoem: Improving the Learning Experience of Classical Chinese Poetry with AI-Generated Musical Storyboards. 10307-10315 - Antonio Lieto, Gian Luca Pozzato, Stefano Zoia:
The Delta of Thought: Channeling Rivers of Commonsense Knowledge in the Sea of Metaphorical Interpretations. 10316-10324 - Amy Rafferty, Rishi Ramaesh, Ajitha Rajan:
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection. 10325-10333 - Wei Xiang, Ziyue Lei, Haoyuan Che, Fangyuan Ye, Xueting Wu, Lingyun Sun:
Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning. 10334-10342 - Zahra Zahedi, Shashank Mehrotra, Teruhisa Misu, Kumar Akash:
Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility. 10343-10351 - Haohao Zhu, Tingting Li, Peng He, Jiayu Zhou:
Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis. 10352-10360
Survey Track
Uncertainty in AI
- Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Song:
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey. 10362-10370 - Pascal Bercher, Sarath Sreedharan, Mauro Vallati:
A Survey on Model Repair in AI Planning. 10371-10380 - John Burden, Marko Tesic, Lorenzo Pacchiardi, José Hernández-Orallo:
Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. 10381-10390 - Jiehua Chen, Joanna Kaczmarek, Paul Nüsken, Jörg Rothe, Ildikó Schlotter, Tessa Seeger:
Control in Computational Social Choice. 10391-10399 - Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin:
Empowering LLMs with Logical Reasoning: A Comprehensive Survey. 10400-10408 - Shuai Cheng, Zhao Li, Shu Meng, Mengxia Ren, Haitao Xu, Shuai Hao, Chuan Yue, Fan Zhang:
Understanding PII Leakage in Large Language Models: A Systematic Survey. 10409-10417 - Giovanni Pio Delvecchio, Lorenzo Molfetta, Gianluca Moro:
Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era. 10418-10426 - Didier Dubois, Henri Prade:
40 Years of Research in Possibilistic Logic - a Survey. 10427-10435 - Tamara C. P. Florijn, Pinar Yolum, Tim Baarslag:
A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency. 10436-10444 - Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang:
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond. 10445-10454 - Ziming Hong, Yongli Xiang, Tongliang Liu:
Toward Robust Non-Transferable Learning: A Survey and Benchmark. 10455-10463 - Kaiyuan Hu, Yili Jin, Hao Zhou, Linfeng Du, Jiangchuan Liu, Xue Liu:
Generative AI for Immersive Video: Recent Advances and Future Opportunities. 10464-10472 - Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau:
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering. 10473-10480 - Anubhooti Jain, Mayank Vatsa, Richa Singh:
Words Over Pixels? Rethinking Vision in Multimodal Large Language Models. 10481-10489 - Chuanmin Jia, Feng Ye, Siwei Ma, Wen Gao, Huifang Sun, Leonardo Chiariglione:
Emerging Advances in Learned Video Compression: Models, Systems and Beyond. 10490-10498 - Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin:
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. 10499-10507 - Minjun Kim, Jaehyeon Choi, Jongkeun Lee, Wonjin Cho, U Kang:
Zero-shot Quantization: A Comprehensive Survey. 10508-10516 - Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo:
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. 10517-10527 - Anísio Lacerda, Gisele L. Pappa, Adriano César Machado Pereira, Wagner Meira Jr., Alexandre Guimarães de Almeida Barros:
Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions. 10528-10536 - Jichen Li, Lijia Xie, Hanting Huang, Bo Zhou, Binfeng Song, Wanying Zeng, Xiaotie Deng, Xiao Zhang:
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach. 10537-10545 - Shuai Li, Zilong Wang, Fang Kong:
A Survey on Bandit Learning in Matching Markets. 10546-10554 - Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang:
Graph Neural Networks for Databases: A Survey. 10555-10563 - Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao:
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. 10564-10572 - Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li:
One-shot Federated Learning Methods: A Practical Guide. 10573-10581 - Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang:
A Survey on the Feedback Mechanism of LLM-based AI Agents. 10582-10592 - Siwei Meng, Yawei Luo, Ping Liu:
Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC. 10593-10602 - Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou, Jian Yang, Jing Teng, Quan Z. Sheng:
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective. 10603-10611 - Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen:
Harnessing Vision Models for Time Series Analysis: A Survey. 10612-10620 - YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui:
Comprehensive Review of Neural Differential Equations for Time Series Analysis. 10621-10631 - Sara Sarto, Marcella Cornia, Rita Cucchiara:
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives. 10632-10640 - Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaïane, Matthew E. Taylor:
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. 10641-10649 - Hongwei Sheng, Heming Du, Xin Shen, Sen Wang, Xin Yu:
Multimodal Retina Image Analysis Survey: Datasets, Tasks and Methods. 10650-10659 - Dingli Su, Hao Peng, Yicheng Pan, Angsheng Li:
A Survey of Structural Entropy: Theory, Methods, and Applications. 10660-10668 - Haoran Sun, Yusen Wu, Yukun Cheng, Xu Chu:
Game Theory Meets Large Language Models: A Systematic Survey. 10669-10677 - Shixiang Tang, Yizhou Wang, Lu Chen, Yuan Wang, Sida Peng, Dan Xu, Wanli Ouyang:
Human-Centric Foundation Models: Perception, Generation and Agentic Modeling. 10678-10686 - Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li:
Large Language Models for Causal Discovery: Current Landscape and Future Directions. 10687-10695 - Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen:
Deep Learning for Multivariate Time Series Imputation: A Survey. 10696-10704 - Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye:
An Empirical Study of Federated Prompt Learning for Vision Language Model. 10705-10713 - Zixia Wang, Jia Hu, Ronghui Mu:
Safety of Embodied Navigation: A Survey. 10714-10722 - Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin:
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. 10723-10732 - Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li:
A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing. 10733-10741 - Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang:
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions. 10742-10750 - Conghao Xiong, Hao Chen, Joseph J. Y. Sung:
A Survey of Pathology Foundation Model: Progress and Future Directions. 10751-10760 - Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi:
Tensor Network: from the Perspective of AI4Science and Science4AI. 10761-10769 - Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li:
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models. 10770-10778 - Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang:
Federated Low-Rank Adaptation for Foundation Models: A Survey. 10779-10787 - Zihan Yang, Xiaohui Tao, Taotao Cai, Yifu Tang, Haoran Xie, Lin Li, Jianxin Li, Qing Li:
A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions. 10788-10796 - Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong:
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. 10797-10806 - Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan:
Reward Models in Deep Reinforcement Learning: A Survey. 10807-10816 - Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen:
How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM. 10817-10825 - Da-Wei Zhou, Han-Jia Ye:
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. 10826-10835 - Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu:
Connector-S: A Survey of Connectors in Multi-modal Large Language Models. 10836-10844
Sister Conferences Best Papers
Uncertainty in AI
- Ido Amos, Jonathan Berant, Ankit Gupta:
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract). 10846-10851 - Franz Baader, Renata Wassermann:
Contractions Based on Optimal Repairs (Extended Abstract). 10852-10857 - Maria-Florina Balcan, Dravyansh Sharma:
Learning Accurate and Interpretable Decision Trees (Extended Abstract). 10858-10863 - Adrien Barton, Paul Fabry, Jean-François Ethier:
Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract). 10864-10868 - Adda-Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey:
FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract). 10869-10874 - Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade:
Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract). 10875-10880 - Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang:
Domain Prompt Learning with Quaternion Networks (Extended Abstract). 10881-10884 - Paul Dütting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo:
Mechanism Design for Large Language Models (Extended Abstract). 10885-10890 - Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu, Pinyan Lu:
Incentives for Early Arrival in Cooperative Games (Extended Abstract). 10891-10895 - Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). 10896-10900 - Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas:
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract). 10901-10905 - Binh Minh Le, Simon S. Woo:
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract). 10906-10911 - Peiyan Li, Honglian Wang, Christian Böhm:
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract). 10912-10915 - Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li:
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract). 10916-10921 - Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu:
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract). 10922-10926 - Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti:
Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract). 10927-10931 - David Speck, Daniel Gnad:
Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract). 10932-10936 - Magamed Taimeskhanov, Ronan Sicre, Damien Garreau:
CAM-Based Methods Can See through Walls (Extended Abstract). 10937-10941 - Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). 10942-10946
Journal Track
Uncertainty in AI
- Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi, Sergio Greco, Francesco Parisi, Guillermo Ricardo Simari:
Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint). 10948 - Furkan Cantürk, Taha Varol, Reyhan Aydogan, Okan Örsan Özener:
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint). 10949 - Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, Françoise Adreit:
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint). 10950 - John Grant, Francesco Parisi:
On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint). 10951 - Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas:
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint). 10952 - Juhani Kivimäki, Jakub Bialek, Jukka K. Nurminen, Wojtek Kuberski:
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint). 10953 - Jinlin Li, Xiao Zhou:
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint). 10954 - Alejandra López de Aberasturi-Gómez, Jordi Sabater-Mir, Carles Sierra:
A Semantic Framework for Neurosymbolic Computation (Abstract Reprint). 10955 - Simon Odense, Artur S. d'Avila Garcez:
A Semantic Framework for Neurosymbolic Computation (Abstract Reprint). 10956 - Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani:
Human-AI Coevolution (Abstract Reprint). 10957 - Vimukthini Pinto, Chathura Nagoda Gamage, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz:
NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint). 10958 - Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer:
Human Activity Recognition in an Open World (Abstract Reprint). 10959 - Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint). 10960 - Zhilin Zhao, Longbing Cao, Philip S. Yu:
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint). 10961
Doctoral Consortium
Uncertainty in AI
- Alba Aguilera:
Agent-based Modeling for Policy-Making in Inequity Contexts. 10963-10964 - Yasmeena Akhter:
Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings. 10965-10966 - Michael Timothy Bennett:
A Formal Theory of Optimal Learning with Experimental Results. 10967-10968 - Fengxiang Cheng:
Enhancing the Logical Reasoning Abilities of Large Language Models. 10969-10970 - Agathe Fernandes Machado:
Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification. 10971-10972 - Jonathan A. Karr Jr.:
Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact. 10973-10974 - Kausik Lakkaraju:
Rating AI Models for Robustness Through a Causal Lens. 10975-10976 - Priscylla Silva:
Visual Analytics for Guiding Feature Attribution Method Selection. 10977-10978 - Kevin Jatin Vora:
Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning. 10979-10980 - Kunpeng Xu:
Toward Interpretable Time Series Modeling: A Kernel Representation Perspective. 10981-10982
Demo Track
Uncertainty in AI
- Ruben Agazzi, Renzo Arturo Alva Principe, Riccardo Pozzi, Marco Ripamonti, Matteo Palmonari:
DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains. 10984-10988 - Mario Alviano, Pietro Macrì, Luis Angel Rodriguez Reiners:
ASP Chef Chats with Large Language Models. 10989-10993 - Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning. 10994-10998 - Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra:
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. 10999-11003 - Tomás Balyo, Roman Barták, Lukás Chrpa, Michal Cervenka, Filip Dvorák, Stephan Gocht, Lukás Lipcák, Viktor Macek, Dominik Rohácek, Josef Ryzí, Martin Suda, Dominik Safránek, Slavomír Svancár, G. Michael Youngblood:
Using Planning for Automated Testing of Video Games. 11004-11008 - Johann Blake, Matthias Schubert:
Aerial Coverage Path Planning in Nuclear Emergencies. 11009-11012 - Chien-Hung Chen, Chi-Shin Wu, Chu-Hsien Su, Hsin-Hsi Chen:
TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records. 11013-11016 - TingRay Chung, Pin-Yu Chen:
SPARC: An AI-Based Speech Processing and Real-Time Correction System. 11017-11020 - Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine:
Veracity: An Open-Source AI Fact-Checking System. 11021-11024 - Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo:
How to Make Reproducible Research in Machine Unlearning with ERASURE. 11025-11029 - Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei:
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs. 11030-11033 - Abhisek Dey, Nathaniel H. Stanley:
MoleculeMiner: Extracting and Linking Molecule Figures with Tabular Metadata. 11034-11038 - Yihao Ding, Soyeon Caren Han, Yan Li, Josiah Poon:
VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding. 11039-11043 - Yujun Feng, Jingyi Huang, Yang Zhang:
A Multimodal AI Dialogue System for Unified Document, Visual, and Audio Interaction. 11044-11047 - Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter:
Fairness-Aware Interactive Target Variable Definition. 11048-11052 - Hadi Hosseini, Yubo Jing, Ronak Singh:
MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions. 11053-11057 - Mingyu Huang, Shasha Zhou, Yuxuan Chen, Ke Li:
Conversational Exploration of Literature Landscape with LitChat. 11058-11061 - Nagim Isyanbaev, Ilya Makarov:
Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Search. 11062-11066 - Junqi Jiang, Luca Marzari, Aaryan Purohit, Francesco Leofante:
RobustX: Robust Counterfactual Explanations Made Easy. 11067-11071 - Mateusz Kaminski, Damian Kurpiewski, Wojciech Jamroga:
NatSTV: Towards Verification of Natural Strategic Ability. 11072-11076 - Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov:
Tsururu: A Python-based Time Series Forecasting Strategies Library. 11077-11081 - Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou:
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. 11082-11085 - Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang:
SkyRover: A Modular Simulator for Cross-Domain Pathfinding. 11086-11090 - Vladimir Manuilov, Antonio Francés-Monerris, Abdelazim M. A. Abdelgawwad, Daniel Escudero, Ilya Makarov:
Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy. 11091-11094 - Hieu Phan, Hung Pham, Dat Nguyen, Khoa Le, Tuan Nguyen, Triet Tran, Tho Quan:
TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images. 11095-11099 - Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao, Kellin Pelrine:
SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents. 11100-11103 - Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey Savchenko:
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences. 11104-11108 - Dorsaf Sallami, Esma Aïmeur:
Aletheia: Detect, Discuss, and Stay Informed on Fake News. 11109-11113 - Xiaoou Wang, Elena Cabrio, Serena Villata:
SAFE: Structured Argumentation for Fact-checking with Explanations. 11114-11118 - Yuntao Wang, Yu Cheng, Junhao Geng:
OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Components. 11119-11122 - Haodi Zhang, Siqi Ning, Qiyong Zheng, Yuanfeng Song, Liang-Jie Zhang:
HealthLens: A Natural Language Querying System for Interactive Visualization of Electronic Health Records. 11123-11126 - Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang:
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models. 11127-11131 - Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao:
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning. 11132-11136 - Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao:
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. 11137-11140 - Xueyi Zhou, Qi Lu, Dong-Kyu Chae:
What If LLMs Can Smell: A Prototype. 11141-11144
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