| 2025 | ICRA | CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories. | Peide Huang, Wenhao Ding, Benjamin Stoler, Jonathan Francis, Bingqing Chen, Ding Zhao |
| 2023 | AISTATS | Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao |
| 2023 | CoRL | What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. | Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao |
| 2023 | CoRL | Continual Vision-based Reinforcement Learning with Group Symmetries. | Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao |
| 2023 | ICASSP | Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao |
| 2023 | SENSYS | Characterizing Crowd Preferences on Stadium Facilities through Dynamic Inverse Reinforcement Learning. | Yiwen Dong, Peide Huang, Hae Young Noh |
| 2023 | SENSYS | GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. | Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh |
| 2022 | IJCAI | Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. | Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao |
| 2022 | IROS | Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. | Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao |