| 2025 | CIKM | CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control. | Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Qianyue Hao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang |
| 2025 | KDD | CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. | Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li |
| 2024 | KDD | DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. | Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li |
| 2023 | ICWSM | Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data. | Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li |
| 2023 | KDD | GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. | Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li |
| 2022 | KDD | Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. | Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li |
| 2021 | KDD | Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information. | Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li |
| 2020 | KDD | Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. | Qianyue Hao, Lin Chen, Fengli Xu, Yong Li |