| 2026 | WWW | Breaking the Scalability Barrier in Constrained Graph-Based Networked Control via Decision-Focused Learning. | Zhaoxing Yang, Yuchen Guo, Wenlong Li, Guiyun Fan, Haiming Jin, Linghe Kong |
| 2025 | INFOCOM | Learning to Accelerate Traffic Allocation Over Large-Scale Networks. | Zhaoxing Yang, Guiyun Fan, Anjie Cao, Yuchen Guo, Wenlong Li, Tianyuan Liu, Haiming Jin |
| 2024 | KDD | Rethinking Order Dispatching in Online Ride-Hailing Platforms. | Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo |
| 2023 | AAAI | DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning. | Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou |
| 2023 | AAAI | User-Oriented Robust Reinforcement Learning. | Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun |
| 2023 | ICDCS | Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning. | Haiming Jin, Yifei Wei, Zhaoxing Yang, Zirui Liu, Guiyun Fan |
| 2022 | KDD | Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning. | Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, Xinbing Wang |
| 2021 | ICPADS | Constrained Multi-Agent Reinforcement Learning for Managing Electric Self-Driving Taxis. | Zhaoxing Yang, Guiyun Fan, Haiming Jin |
| 2021 | INFOCOM | Multi-Agent Reinforcement Learning for Urban Crowd Sensing with For-Hire Vehicles. | Rong Ding, Zhaoxing Yang, Yifei Wei, Haiming Jin, Xinbing Wang |