Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. - Zuxin Liu; Zijian Guo 002; Zhepeng Cen; Huan Zhang 001; Yihang Yao; Hanjiang Hu; Ding Zhao (ICML, 2023)

Constrained Decision Transformer for Offline Safe Reinforcement Learning. - Zuxin Liu; Zijian Guo 002; Yihang Yao; Zhepeng Cen; Wenhao Yu 003; Tingnan Zhang; Ding Zhao (ICML, 2023)

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. - Yihang Yao; Zuxin Liu; Zhepeng Cen; Jiacheng Zhu; Wenhao Yu 003; Tingnan Zhang; Ding Zhao (NeurIPS, 2023)

Datasets and Benchmarks for Offline Safe Reinforcement Learning. - Zuxin Liu; Zijian Guo 002; Haohong Lin; Yihang Yao; Jiacheng Zhu; Zhepeng Cen; Hanjiang Hu; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2023)

An Integrated in Situ Image Acquisition and Annotation Scheme for Instance Segmentation Models in Open Scenes With a Human-Robot Interaction Approach. - Liang Gong; Zhiyu Yang; Yihang Yao; Binhao Chen; Wenjie Wang; Xiaofeng Du; Yidong He; Chengliang Liu 001 (IEEE Trans. Hum. Mach. Syst., 2023)

Learning from Sparse Offline Datasets via Conservative Density Estimation. - Zhepeng Cen; Zuxin Liu; Zitong Wang 005; Yihang Yao; Henry Lam; Ding Zhao (ICLR, 2024)

Feasibility Consistent Representation Learning for Safe Reinforcement Learning. - Zhepeng Cen; Yihang Yao; Zuxin Liu; Ding Zhao (ICML, 2024)

Gradient shaping for multi-constraint safe reinforcement learning. - Yihang Yao; Zuxin Liu; Zhepeng Cen; Peide Huang; Tingnan Zhang; Wenhao Yu 003; Ding Zhao (L4DC, 2024)

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. - Yihang Yao; Zhepeng Cen; Wenhao Ding; Haohong Lin; Shiqi Liu 005; Tingnan Zhang; Wenhao Yu 003; Ding Zhao (NeurIPS, 2024)

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training. - Yihang Yao; Zhepeng Cen; Miao Li; William Han; Yuyou Zhang; Emerson Liu; Zuxin Liu; Chuang Gan 001; Ding Zhao (ACL (Findings), 2025)

Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety. - Yuyou Zhang; Miao Li; William Han; Yihang Yao; Zhepeng Cen; Ding Zhao (ACL (Findings), 2025)

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. - Yuyou Zhang; Yihang Yao; Shiqi Liu; Yaru Niu; Changyi Lin; Yuxiang Yang; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2025)

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning. - Miao Li; Wenhao Ding; Haohong Lin; Yiqi Lyu; Yihang Yao; Yuyou Zhang; Ding Zhao (CoRR, 2025)

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework. - William Han; Chaojing Duan; Zhepeng Cen; Yihang Yao; Xiaoyu Song; Atharva Mhaskar; Dylan Leong; Michael A. Rosenberg; Emerson Liu; Ding Zhao (CoRR, 2025)

Behavior Injection: Preparing Language Models for Reinforcement Learning. - Zhepeng Cen; Yihang Yao; William Han; Zuxin Liu; Ding Zhao (CoRR, 2025)