| 2025 | AIES | Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning. | Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh, Fei Fang |
| 2025 | WSC | Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback. | Rex Chen, Karen Wu, John McCartney, Norman M. Sadeh, Fei Fang |
| 2024 | CPAIOR | UNSAT Solver Synthesis via Monte Carlo Forest Search. | Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown |
| 2024 | WISE | Incorporating Taxonomic Reasoning and Regulatory Knowledge into Automated Privacy Question Answering. | Abhilasha Ravichander, Ian Yang, Rex Chen, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh |
| 2023 | WSC | Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? | Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh |
| 2022 | IJCAI | The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. | Rex Chen, Fei Fang, Norman M. Sadeh |
| 2022 | LREC | A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus. | Siddhant Arora, Henry Hosseini, Christine Utz, Vinayshekhar Bannihatti Kumar, Tristan Dhellemmes, Abhilasha Ravichander, Peter Story, Jasmine Mangat, Rex Chen, Martin Degeling, Thomas B. Norton, Thomas Hupperich, Shomir Wilson, Norman M. Sadeh |
| 2020 | AAAI | Predicting Propositional Satisfiability via End-to-End Learning. | Chris Cameron, Rex Chen, Jason S. Hartford, Kevin Leyton-Brown |
| 2006 | MASS | ODAR: On-Demand Anonymous Routing in Ad Hoc Networks. | Denh Sy, Rex Chen, Lichun Bao |