Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light. - Zequn Chen; Runji Lin; Haihan Duan; Yanru Chen 001; Yanbing Yang; Rengmao Wu; Liangyin Chen (INFOCOM Workshops, 2020)

Scalable Model-based Policy Optimization for Decentralized Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (IROS, 2022)

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. - Muning Wen; Jakub Grudzien Kuba; Runji Lin; Weinan Zhang 001; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2022)

Fully Decentralized Model-based Policy Optimization for Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Contextual Transformer for Offline Meta Reinforcement Learning. - Runji Lin; Ye Li 016; Xidong Feng; Zhaowei Zhang; Xian Hong Wu Fung; Haifeng Zhang 002; Jun Wang 012; Yali Du 001; Yaodong Yang 001 (CoRR, 2022)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. - Weiyu Ma; Qirui Mi; Xue Yan; Yuqiao Wu; Runji Lin; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2023)

Large sequence models for sequential decision-making: a survey. - Muning Wen; Runji Lin; Hanjing Wang; Yaodong Yang 001; Ying Wen 001; Luo Mai; Jun Wang 012; Hai-Feng Zhang 002; Weinan Zhang 001 (Frontiers Comput. Sci., 2023)

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. - Keming Lu; Hongyi Yuan; Zheng Yuan 002; Runji Lin; Junyang Lin; Chuanqi Tan; Chang Zhou; Jingren Zhou 001 (ICLR, 2024)

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. - Keming Lu; Hongyi Yuan; Runji Lin; Junyang Lin; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (NAACL-HLT, 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)

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment. - Keming Lu; Bowen Yu 002; Fei Huang 005; Yang Fan; Runji Lin; Chang Zhou (CoRR, 2024)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. - Bofei Gao; Zefan Cai; Runxin Xu; Peiyi Wang; Ce Zheng; Runji Lin; Keming Lu; Junyang Lin; Chang Zhou; Wen Xiao; Junjie Hu 001; Tianyu Liu 001; et al. (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence. - Luo Ji; Runji Lin (CoRR, 2024)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. - An Yang; Beichen Zhang; Binyuan Hui; Bofei Gao; Bowen Yu 002; Chengpeng Li 001; Dayiheng Liu; Jianhong Tu; Jingren Zhou 001; Junyang Lin; Keming Lu; Mingfeng Xue; et al. (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. - Bofei Gao; Zefan Cai; Runxin Xu; Peiyi Wang; Ce Zheng; Runji Lin; Keming Lu; Dayiheng Liu; Chang Zhou; Wen Xiao; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

The Lessons of Developing Process Reward Models in Mathematical Reasoning. - Zhenru Zhang; Chujie Zheng; Yangzhen Wu; Beichen Zhang; Runji Lin; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (Findings), 2025)

ProcessBench: Identifying Process Errors in Mathematical Reasoning. - Chujie Zheng; Zhenru Zhang; Beichen Zhang; Runji Lin; Keming Lu; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

MARGE: Improving Math Reasoning for LLMs with Guided Exploration. - Jingyue Gao; Runji Lin; Keming Lu; Bowen Yu 002; Junyang Lin; Jianyu Chen (CoRR, 2025)