Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. - Shaochen (Henry) Zhong; Guanqun Zhang; Ningjia Huang; Shuai Xu (ICLR, 2022)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. - Zirui Liu 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. - Shaochen (Henry) Zhong; Zaichuan You; Jiamu Zhang; Sebastian Zhao; Zachary LeClaire; Zirui Liu 001; Daochen Zha; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Editable Graph Neural Network for Node Classifications. - Zirui Liu 001; Zhimeng Jiang; Shaochen Zhong; Kaixiong Zhou; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. - Yucheng Shi; Qiaoyu Tan; Xuansheng Wu; Shaochen Zhong; Kaixiong Zhou; Ninghao Liu (CIKM, 2024)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 2024)

Knowledge Graphs Can be Learned with Just Intersection Features. - Duy Le 001; Shaochen (Henry) Zhong; Zirui Liu 001; Shuai Xu; Vipin Chaudhary; Kaixiong Zhou; Zhaozhuo Xu (ICML, 2024)

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. - Zirui Liu 001; Jiayi Yuan 001; Hongye Jin; Shaochen (Henry) Zhong; Zhaozhuo Xu; Vladimir Braverman; Beidi Chen; Xia Hu 001 (ICML, 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Soft Prompt Recovers Compressed LLMs, Transferably. - Zhaozhuo Xu; Zirui Liu 001; Beidi Chen; Shaochen (Henry) Zhong; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu 001; Anshumali Shrivastava (ICML, 2024)

GNNs Also Deserve Editing, and They Need It More Than Once. - Shaochen (Henry) Zhong; Duy Le 001; Zirui Liu 001; Zhimeng Jiang; Andrew Ye; Jiamu Zhang; Jiayi Yuan 001; Kaixiong Zhou; Zhaozhuo Xu; Jing Ma; Shuai Xu; Vipin Chaudhary; et al. (ICML, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. - Yucheng Shi; Qiaoyu Tan; Xuansheng Wu; Shaochen Zhong; Kaixiong Zhou; Ninghao Liu (CoRR, 2024)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Van Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (ACL (Findings), 2025)

Flexible Group Count Enables Hassle-Free Structured Pruning. - Jiamu Zhang; Shaochen Zhong; Andrew Ye; Zirui Liu 001; Sebastian Zhao; Kaixiong Zhou; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001; Shuai Xu; Vipin Chaudhary (CVPR, 2025)

MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. - 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; et al. (ICLR, 2025)

In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions. - Jiamu Zhang; Shaochen Zhong; Hoang Anh Duy Le; Xia Hu 001 (SP (Workshops), 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Na Zou 001; Hanjie Chen; Xia Hu 001 (Trans. Mach. Learn. Res., 2025)

More for Keys, Less for Values: Adaptive KV Cache Quantization. - Mohsen Hariri; Lam Nguyen; Sixu Chen; Shaochen Zhong; Qifan Wang 001; Xia Ben Hu; Xiaotian Han; Vipin Chaudhary (CoRR, 2025)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. - Yang Sui; Yu-Neng Chuang; Guanchu Wang; Jiamu Zhang; Tianyi Zhang; Jiayi Yuan 001; Hongyi Liu; Andrew Wen; Shaochen Zhong; Hanjie Chen; Xia Ben Hu (CoRR, 2025)

70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float. - Tianyi Zhang; Yang Sui; Shaochen Zhong; Vipin Chaudhary; Xia Hu 001; Anshumali Shrivastava (CoRR, 2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Wang Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. - Feng Luo; Yu-Neng Chuang; Guanchu Wang; Hoang Anh Duy Le; Shaochen Zhong; Hongyi Liu; Jiayi Yuan 001; Yang Sui; Vladimir Braverman; Vipin Chaudhary; Xia Hu 001 (CoRR, 2025)

Data-centric Artificial Intelligence: A Survey. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Zhimeng Jiang; Shaochen Zhong; Xia Ben Hu (ACM Comput. Surv., 2025)