| 2025 | AISTATS | Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. | Zilong Deng, Simon Khan, Shaofeng Zou |
| 2025 | ICLR | Revisiting Large-Scale Non-convex Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2025 | IJCAI | Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. | Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu |
| 2025 | IJCNN | Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing. | Yiming Bu, Simon Khan, Jiayang Liu, Qinru Qiu |
| 2025 | NeSy | Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. | Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett Ethan Katz |
| 2024 | ACSSC | Comparison of Explainability Approaches for Reinforcement Learning for Autonomous Flight Maneuvers. | Swati Kar, Mahesh K. Banavar, Soumyabrata Dey, Allan Salihovic, Simon Khan, Jason R. Bryant |
| 2024 | IJCNN | Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi. | Rashedul Islam, Md. Shahanur Alam, Chris Yakopcic, Nayim Rahman, Simon Khan, Tarek M. Taha |
| 2023 | ECAI | Multi-Agent Cooperative Games Using Belief Map Assisted Training. | Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu |
| 2023 | FUSION | Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition. | Huong N. Dang, Kuo-Chu Chang, Genshe Chen, Hua-mei Chen, Simon Khan, Milvio Franco, Erik Blasch |