Transformer Hawkes Process. - Simiao Zuo; Haoming Jiang; Zichong Li; Tuo Zhao; Hongyuan Zha (ICML, 2020)

Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity. - Zichong Li; Yangyang Xu (CoRR, 2020)

Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. - Zichong Li; Pin-Yu Chen; Sijia Liu 001; Songtao Lu; Yangyang Xu (AISTATS, 2021)

Augmented Lagrangian-Based First-Order Methods for Convex-Constrained Programs with Weakly Convex Objective. - Zichong Li; Yangyang Xu (INFORMS J. Optim., 2021)

Zeroth-Order Optimization for Composite Problems with Functional Constraints. - Zichong Li; Pin-Yu Chen; Sijia Liu 001; Songtao Lu; Yangyang Xu (AAAI, 2022)

Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling. - Zichong Li; Lan Zhang 002; Mu Yuan; Miaohui Song; Qi Song 004 (ICDE, 2023)

SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. - Zichong Li; Yanbo Xu; Simiao Zuo; Haoming Jiang; Chao Zhang; Tuo Zhao; Hongyuan Zha (ICML, 2023)

CoTel: Ontology-Neural Co-Enhanced Text Labeling. - Miao-Hui Song; Lan Zhang 002; Mu Yuan; Zichong Li; Qi Song 004; Yijun Liu; Guidong Zheng (WWW, 2023)

Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. - Zichong Li; Qunzhi Xu; Zhenghao Xu; Yajun Mei; Tuo Zhao; Hongyuan Zha (CoRR, 2023)

Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process. - Zichong Li; Qunzhi Xu; Zhenghao Xu; Yajun Mei; Tuo Zhao; Hongyuan Zha (ICML, 2024)

Robust Reinforcement Learning from Corrupted Human Feedback. - Alexander Bukharin; Ilgee Hong; Haoming Jiang; Zichong Li; Qingru Zhang; Zixuan Zhang; Tuo Zhao (NeurIPS, 2024)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. - Ilgee Hong; Zichong Li; Alexander Bukharin; Yixiao Li; Haoming Jiang; Tianbao Yang; Tuo Zhao (NeurIPS, 2024)

MARLadona - Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning. - Zichong Li; Filip Bjelonic; Victor Klemm; Marco Hutter 001 (CoRR, 2024)

Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. - Zichong Li; Pin-Yu Chen; Sijia Liu 001; Songtao Lu; Yangyang Xu (Comput. Optim. Appl., 2024)

Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. - Zichong Li; Pin-Yu Chen; Sijia Liu 001; Songtao Lu; Yangyang Xu (Comput. Optim. Appl., 2024)

Research on Quantitative Safety Risk Assessment Methods at Vehicle Controllability Level. - Lei He 017; Zichong Li; Xuezhu Yang; Yuanle Zhou; Zikun Qu; Zhiqiang Ren (IEEE Access, 2025)

COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs. - Liming Liu; Zhenghao Xu; Zixuan Zhang; Hao Kang; Zichong Li; Chen Liang; Weizhu Chen; Tuo Zhao (CoRR, 2025)

LLMs Can Generate a Better Answer by Aggregating Their Own Responses. - Zichong Li; Xinyu Feng; Yuheng Cai; Zixuan Zhang; Tianyi Liu; Chen Liang; Weizhu Chen; Haoyu Wang; Tuo Zhao (CoRR, 2025)

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation. - Zichong Li; Chen Liang 006; Zixuan Zhang; Ilgee Hong; Young Jin Kim 001; Weizhu Chen; Tuo Zhao (CoRR, 2025)