A Novel Learning Early-Warning Model Based on Random Forest Algorithm. - Xiaoxiao Cheng; Zhengzhou Zhu; Xiao Liu; Xiaofang Yuan; Jiayu Guo; Qun Guo; Deqi Li; Ruofei Zhu (ITS, 2018)

A learning resource recommendation algorithm based on online learning sequential behavior. - Xuebin Wang; Zhengzhou Zhu; Jiaqi Yu; Ruofei Zhu; Deqi Li; Qun Guo (Int. J. Wavelets Multiresolution Inf. Process., 2019)

A Learning Resource Recommendation Model Based on Fusion of Sequential Information. - Ruofei Zhu; Zhengzhou Zhu; Qun Guo (ICAIS (1), 2020)

What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret. - Yufeng Yuan; Yu Yue; Ruofei Zhu; Tiantian Fan; Lin Yan (CoRR, 2025)

DAPO: An Open-Source LLM Reinforcement Learning System at Scale. - Qiying Yu; Zheng Zhang 001; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu 039; Haibin Lin; Zhiqi Lin; et al. (CoRR, 2025)

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback. - Wei Shen; Guanlin Liu; Zheng Wu; Ruofei Zhu; Qingping Yang; Chao Xin; Yu Yue; Lin Yan (CoRR, 2025)

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks. - Yu Yue; Yufeng Yuan; Qiying Yu; Xiaochen Zuo; Ruofei Zhu; Wenyuan Xu; Jiaze Chen; Cheng-Xiang Wang 001; Tiantian Fan; Zhengyin Du; Xiangpeng Wei; Xiangyu Yu; et al. (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu 086; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

Truncated Proximal Policy Optimization. - Tiantian Fan; Lingjun Liu; Yu Yue; Jiaze Chen; Chengyi Wang; Qiying Yu; Chi Zhang; Zhiqi Lin; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Bole Ma; et al. (CoRR, 2025)