Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang; Baoxiang Wang 001; Furui Liu; Long Chen 016; Fei Wu 001; Jun Xiao 001 (KDD, 2021)

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation. - Jiahui Li 003; Kun Kuang; Lin Li 065; Long Chen 016; Songyang Zhang; Jian Shao 001; Jun Xiao 001 (ACM Multimedia, 2021)

Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang; Baoxiang Wang 001; Furui Liu; Long Chen 016; Changjie Fan; Fei Wu 001; Jun Xiao 001 (ICML, 2022)

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? - Shuang Luo; Yinchuan Li; Jiahui Li 003; Kun Kuang; Furui Liu; Yunfeng Shao 001; Chao Wu 001 (KDD, 2022)

Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang; Baoxiang Wang 001; Xingchen Li; Fei Wu 001; Jun Xiao 001; Long Chen 016 (NeurIPS, 2023)

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning. - Jiahui Li 003; Hanlin Zhang; Fengda Zhang; Tai-Wei Chang; Kun Kuang; Long Chen 016; Jun Zhou 011 (EMNLP, 2024)

R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback. - Jiahui Li 003; Tai-Wei Chang; Fengda Zhang; Kun Kuang; Long Chen 016 (CoRR, 2024)

Learning Causal Transition Matrix for Instance-dependent Label Noise. - Jiahui Li 003; Tai-Wei Chang; Kun Kuang; Ximing Li; Long Chen 016; Jun Zhou 011 (AAAI, 2025)

Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards. - Zijing Hu; Fengda Zhang; Long Chen 016; Kun Kuang; Jiahui Li 003; Kaifeng Gao; Jun Xiao 001; Xin Wang 019; Wenwu Zhu 001 (CVPR, 2025)

Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension. - Lin Li 065; Wei Chen 070; Jiahui Li 003; Long Chen 016 (CoRR, 2025)