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ORCIDShaochen Zhong
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- affiliation: Rice University, Department of Computer Science, Houston, TX, USA
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2020 – today
- 2025
[j3]Daochen Zha
, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu:
Data-centric Artificial Intelligence: A Survey. ACM Comput. Surv. 57(5): 129:1-129:42 (2025)- [j2]Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu:
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [c15]Van Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL (Findings) 2025: 17560-17576 - [c14]Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary:
Flexible Group Count Enables Hassle-Free Structured Pruning. CVPR 2025: 4807-4818 - [c13]Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu:
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. ICLR 2025 - [c12]Jiamu Zhang, Shaochen Zhong, Hoang Anh Duy Le, Xia Hu:
In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions. SP (Workshops) 2025: 370-373 - [i14]Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary:
More for Keys, Less for Values: Adaptive KV Cache Quantization. CoRR abs/2502.15075 (2025) - [i13]Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu:
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. CoRR abs/2503.16419 (2025) - [i12]Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava:
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float. CoRR abs/2504.11651 (2025) - [i11]Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han:
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? CoRR abs/2505.19293 (2025) - [i10]Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu:
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. CoRR abs/2505.22662 (2025) - 2024
- [j1]Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu:
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18(6): 160:1-160:32 (2024) - [c11]Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu:
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM 2024: 2056-2066 - [c10]Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) 2024: 4623-4648 - [c9]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP 2024: 6928-6941 - [c8]Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu:
Knowledge Graphs Can be Learned with Just Intersection Features. ICML 2024 - [c7]Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu:
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. ICML 2024 - [c6]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 2024 - [c5]Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava:
Soft Prompt Recovers Compressed LLMs, Transferably. ICML 2024 - [c4]Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu:
GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024 - [i9]Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu:
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR abs/2402.02750 (2024) - [i8]Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu:
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. CoRR abs/2403.00108 (2024) - [i7]Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu:
Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR abs/2403.19631 (2024) - [i6]Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR abs/2407.01527 (2024) - [i5]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR abs/2410.05331 (2024) - 2023
- [c3]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS 2023 - [c2]Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu:
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS 2023 - [i4]Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu:
Data-centric Artificial Intelligence: A Survey. CoRR abs/2303.10158 (2023) - [i3]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i2]Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Editable Graph Neural Network for Node Classifications. CoRR abs/2305.15529 (2023) - [i1]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR abs/2312.15359 (2023) - 2022
- [c1]Shaochen (Henry) Zhong, Guanqun Zhang, Ningjia Huang, Shuai Xu:
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR 2022
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