Zijian Guo

According to our database, Zijian Guo authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning.

Zijian Guo, Ilker Isik, H. M. Sabbir Ahmad, Wenchao Li

CoRR, April, 2026

Trojans in Artificial Intelligence (TrojAI) Final Report.

Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, XiaoFeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen

CoRR, February, 2026

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, Songyuan Zhang, Chuchu Fan, Christos G. Cassandras, Wenchao Li

CoRR, July, 2025

One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning.

Zijian Guo, Ilker Isik, H. M. Sabbir Ahmad, Wenchao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HMARL-CBF - 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, Songyuan Zhang, Chuchu Fan, Christos G. Cassandras, Wenchao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning.

Zijian Guo, Weichao Zhou, Shengao Wang, Wenchao Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

J. Data-centric Mach. Learn. Res., 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, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning.

Zijian Guo, Weichao Zhou, Wenchao Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE.

Yucheng Xu, Nanbo Li, Arushi Goel, Zijian Guo, Zonghai Yao, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li

CoRR, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations.

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023