Zichong Li

According to our database, Zichong Li authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation.

Zichong Li, Chen Liang, Liliang Ren, Tuo Zhao, Yelong Shen, Weizhu Chen

CoRR, April, 2026

2025

Mitigating Tail Latency for On-Device Inference With Load-Balanced Heterogeneous Models.

Mu Yuan, Lan Zhang, Di Duan, Liekang Zeng, Miao-Hui Song, Zichong Li, Guoliang Xing, Xiang-Yang Li

IEEE Trans. Mob. Comput., December, 2025

NorMuon: Making Muon more efficient and scalable.

Zichong Li, Liming Liu, Chen Liang, Weizhu Chen, Tuo Zhao

CoRR, October, 2025

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation.

Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao

CoRR, June, 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, March, 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, February, 2025

Research on Quantitative Safety Risk Assessment Methods at Vehicle Controllability Level.

Lei He, Zichong Li, Xuezhu Yang, Yuanle Zhou, Zikun Qu, Zhiqiang Ren

IEEE Access, 2025

MARLadona - Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning.

Zichong Li, Filip Bjelonic, Victor Klemm, Marco Hutter

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.

Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

Comput. Optim. Appl., November, 2024

Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.

Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

Comput. Optim. Appl., January, 2024

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback.

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Reinforcement Learning from Corrupted Human Feedback.

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

CoTel: Ontology-Neural Co-Enhanced Text Labeling.

Miao-Hui Song, Lan Zhang, Mu Yuan, Zichong Li, Qi Song, Yijun Liu, Guidong Zheng

Proceedings of the ACM Web Conference 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling.

Zichong Li, Lan Zhang, Mu Yuan, Miaohui Song, Qi Song

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization.

Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

CoRR, 2022

Zeroth-Order Optimization for Composite Problems with Functional Constraints.

Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Augmented Lagrangian-Based First-Order Methods for Convex-Constrained Programs with Weakly Convex Objective.

Zichong Li, Yangyang Xu

INFORMS J. Optim., October, 2021

Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization.

Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity.

Zichong Li, Yangyang Xu

CoRR, 2020

Transformer Hawkes Process.

Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha

Proceedings of the 37th International Conference on Machine Learning, 2020