Yongcheng Zeng

According to our database, Yongcheng Zeng authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning.

Weiyu Ma, Yongcheng Zeng, Yan Song, Xinyu Cui, Jian Zhao, Xuhui Liu, Mohamed Elhoseiny

CoRR, April, 2026

Swimming Under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion.

Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan

CoRR, March, 2026

Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters.

Xinyu Cui, Xuanfa Jin, Xue Yan, Yongcheng Zeng, Luoyang Sun, Siying Wei, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Jun Wang

CoRR, March, 2026

2025

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning.

Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Xu Chen

CoRR, October, 2025

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs.

Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang

CoRR, October, 2025

Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding.

Ziheng Li, Zexu Sun, Jinman Zhao, Erxue Min, Yongcheng Zeng, Hui Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen, Zhi-Hong Deng

CoRR, September, 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, April, 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, Lei Chen, Lionel M. Ni, Haifeng Zhang, Jun Wang

CoRR, March, 2025

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, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang

CoRR, February, 2025

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, Haifeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Token-level Direct Preference Optimization.

Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang

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