| 2025 | ACL | 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, Ding Zhao |
| 2025 | ACL | 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 |
| 2024 | ICLR | Learning from Sparse Offline Datasets via Conservative Density Estimation. | Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao |
| 2024 | ICML | Feasibility Consistent Representation Learning for Safe Reinforcement Learning. | Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao |
| 2023 | ICLR | On the Robustness of Safe Reinforcement Learning under Observational Perturbations. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao |
| 2023 | ICML | Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. | Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao |
| 2023 | ICML | Constrained Decision Transformer for Offline Safe Reinforcement Learning. | Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao |
| 2022 | ICML | Constrained Variational Policy Optimization for Safe Reinforcement Learning. | Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao |
| 2020 | EMNLP | Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. | Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren |