On the Robustness of Safe Reinforcement Learning under Observational Perturbations. - Zuxin Liu; Zijian Guo 002; Zhepeng Cen; Huan Zhang 001; Jie Tan 001; Bo Li 026; Ding Zhao (ICLR, 2023)

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)

Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE. - Yucheng Xu; Nanbo Li; Arushi Goel; Zijian Guo 002; Zonghai Yao; Hamidreza Kasaei 001; Mohammadreza Kasaei 001; Zhibin Li 001 (CoRR, 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)

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning. - Zijian Guo 002; Weichao Zhou; Wenchao Li 001 (ICML, 2024)

TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs. - Yucheng Xu; Nanbo Li; Arushi Goel; Zonghai Yao; Zijian Guo 002; Hamidreza Kasaei 001; Mohammadreza Kasaei 001; Zhibin Li 001 (ICRA, 2024)

Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning. - Zijian Guo 002; Weichao Zhou; Shengao Wang; Wenchao Li 001 (ICLR, 2025)

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems. - H. M. Sabbir Ahmad; Ehsan Sabouni; Alexander Wasilkoff; Param Budhraja; Zijian Guo 002; Songyuan Zhang; Chuchu Fan; Christos G. Cassandras; Wenchao Li 001 (CoRR, 2025)