DAS: A dynamic assignment scheduling algorithm for stream computing in distributed applications. - Kun Wang 005; Yu Yue; Bo Liu 001 (GLOBECOM, 2013)

Time complexity analysis of quantum difference methods for the multiscale transport equations. - He Xiaoyang; Jin Shi; Yu Yue (CoRR, 2022)

Multi-scenario Learning MPC for Automated Driving in Unknown and Changing Environments. - Yu Yue; Zhenpo Wang; Jianhong Liu; Guoqaing Li (INDIN, 2023)

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning. - Xiaoqi Qiu; Yongjie Wang; Xu Guo 002; Zhiwei Zeng; Yu Yue; Yuhong Feng; Chunyan Miao (ACL (1), 2024)

A Survey on Natural Language Counterfactual Generation. - Yongjie Wang; Xiaoqi Qiu; Yu Yue; Xu Guo 002; Zhiwei Zeng; Yuhong Feng; Zhiqi Shen 001 (EMNLP (Findings), 2024)

Multitarget Natural Compounds for Ischemic Stroke Treatment: Integration of Deep Learning Prediction and Experimental Validation. - Junyu Zhou; Chen Li; Yu Yue; Yong Kwan Kim; Sunmin Park (J. Chem. Inf. Model., 2025)

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)

A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization. - Wenyuan Xu; Xiaochen Zuo; Chao Xin; Yu Yue; Lin Yan; Yonghui Wu (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; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier. - Yuhua Jiang; Yuwen Xiong; Yufeng Yuan; Chao Xin; Wenyuan Xu; Yu Yue; Qianchuan Zhao; Lin Yan (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)