Token-level Direct Preference Optimization. - Yongcheng Zeng; Guoqing Liu; Weiyu Ma; Ning Yang; Haifeng Zhang; Jun Wang (ICML, 2024)

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. - Weiyu Ma; Qirui Mi; Yongcheng Zeng; Xue Yan; Runji Lin; Yuqiao Wu; Jun Wang 012; Haifeng Zhang 002 (NeurIPS, 2024)

ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. - Yongcheng Zeng; Xinyu Cui; Xuanfa Jin; Guoqing Liu; Zexu Sun; Quan He; Dong Li 016; Ning Yang 005; Jianye Hao; Haifeng Zhang; Jun Wang 012 (CoRR, 2025)

PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing. - Cheng Deng; Luoyang Sun; Jiwen Jiang; Yongcheng Zeng; Xinjian Wu; Wenxin Zhao; Qingfa Xiao; Jiachuan Wang; Haoyang Li 002; Lei Chen 002; Lionel M. Ni; Haifeng Zhang; et al. (CoRR, 2025)

Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach. - Yuanhong A; Guoyu Zhang; Yongcheng Zeng; Bo Zhang (CoRR, 2025)