Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. - Runze Liu 002; Fengshuo Bai; Yali Du 001; Yaodong Yang 001 (NeurIPS, 2022)

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. - Fengshuo Bai; Hongming Zhang 003; Tianyang Tao; Zhiheng Wu; Yanna Wang; Bo Xu 002 (AAAI, 2023)

Zero-shot Preference Learning for Offline RL via Optimal Transport. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (CoRR, 2023)

Measuring Value Understanding in Language Models through Discriminator-Critique Gap. - Zhaowei Zhang; Fengshuo Bai; Jun Gao; Yaodong Yang 001 (CoRR, 2023)

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (ICML, 2024)

Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects. - Zhaowei Zhang; Fengshuo Bai; Mingzhi Wang; Haoyang Ye; Chengdong Ma; Yaodong Yang 001 (CoRR, 2024)

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. - Fengshuo Bai; Rui Zhao 001; Hongming Zhang 003; Sijia Cui; Ying Wen 001; Yaodong Yang 001; Bo Xu 002; Lei Han (CoRR, 2024)

Efficient Model-agnostic Alignment via Bayesian Persuasion. - Fengshuo Bai; Mingzhi Wang; Zhaowei Zhang; Boyuan Chen 008; Yinda Xu; Ying Wen 001; Yaodong Yang 001 (CoRR, 2024)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. - Fengshuo Bai; Runze Liu 002; Yali Du 001; Ying Wen 001; Yaodong Yang 001 (AAAI, 2025)

Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems. - Zhaowei Zhang; Fengshuo Bai; Mingzhi Wang; Haoyang Ye; Chengdong Ma; Yaodong Yang 001 (AGI (2), 2025)

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs. - Zhaowei Zhang; Fengshuo Bai; Qizhi Chen; Chengdong Ma; Mingzhi Wang; Haoran Sun; Zilong Zheng; Yaodong Yang 001 (ICLR, 2025)

β-DQN: Improving Deep Q-Learning By Evolving the Behavior. - Hongming Zhang 003; Fengshuo Bai; Chenjun Xiao; Chao Gao; Bo Xu 002; Martin Müller 003 (AAMAS, 2025)

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. - Runchuan Zhu; Xinke Jiang; Jiang Wu 003; Zhipeng Ma; Jiahe Song; Fengshuo Bai; Dahua Lin; Lijun Wu; Conghui He (NAACL (Findings), 2025)

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. - Runchuan Zhu; Zinco Jiang; Jiang Wu 003; Zhipeng Ma; Jiahe Song; Fengshuo Bai; Dahua Lin; Lijun Wu; Conghui He (CoRR, 2025)

Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand. - Fengshuo Bai; Yu Li; Jie Chu; Tawei Chou; Runchuan Zhu; Ying Wen 001; Yaodong Yang 001; Yuanpei Chen (CoRR, 2025)

EuroCon: Benchmarking Parliament Deliberation for Political Consensus Finding. - Zhaowei Zhang; Minghua Yi; Mengmeng Wang; Fengshuo Bai; Zilong Zheng; Yipeng Kang; Yaodong Yang 001 (CoRR, 2025)

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective. - Yifan Zhong; Fengshuo Bai; Shaofei Cai; Xuchuan Huang; Zhang Chen; Xiaowei Zhang; Yuanfei Wang; Shaoyang Guo; Tianrui Guan; Ka Nam Lui; Zhiquan Qi; Yitao Liang; et al. (CoRR, 2025)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. - Runchuan Zhu; Bowen Jiang; Lingrui Mei; Fangkai Yang; Lu Wang; Haoxiang Gao; Fengshuo Bai; Pu Zhao 004; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)