Disentangled Graph Collaborative Filtering. - Xiang Wang 010; Hongye Jin; An Zhang 003; Xiangnan He 001; Tong Xu 001; Tat-Seng Chua (SIGIR, 2020)

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. - Ruixiang Tang; Hongye Jin; Mengnan Du; Curtis Wigington; Rajiv Jain; Xia Hu 001 (CIKM, 2023)

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. - Zhimeng Stephen Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Rui Chen 012; Na Zou 001; Xia Hu 001 (NeurIPS, 2023)

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (CoRR, 2023)

Weight Perturbation Can Help Fairness under Distribution Shift. - Zhimeng Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Na Zou 001; Xia Ben Hu (CoRR, 2023)

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; Bing Yin; Xia Hu 001 (CoRR, 2023)

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Chia-Yuan Chang 002; Xia Hu 001 (CoRR, 2023)

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

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)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (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)

Gradient Rewiring for Editable Graph Neural Network Training. - Zhimeng Jiang; Zirui Liu 001; Xiaotian Han; Qizhang Feng; Hongye Jin; Qiaoyu Tan; Kaixiong Zhou; Na Zou 001; Xia Ben Hu (NeurIPS, 2024)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. - Huiyuan Chen; Vivian Lai; Hongye Jin; Zhimeng Jiang; Mahashweta Das; Xia Hu 001 (WSDM, 2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (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)

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios. - Pei Chen; Hongye Jin; Cheng-Che Lee; Rulin Shao; Jingfeng Yang 001; Mingyu Zhao; Zhaoyu Zhang; Qin Lu; Kaiwen Men; Ning Xie; Huasheng Li; Bing Yin; et al. (NAACL (Long Papers), 2025)

Thinking Preference Optimization. - Wang Yang; Hongye Jin; Jingfeng Yang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning. - Wang Yang; Zirui Liu 001; Hongye Jin; Qingyu Yin; Vipin Chaudhary; Xiaotian Han (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)