| 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 | CIKM | Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. | Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li |
| 2023 | KDD | ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service. | Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, 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 | AAAI | Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. | Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang |
| 2021 | PRICAI | Consistency Regularization for Ensemble Model Based Reinforcement Learning. | Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li |
| 2019 | AAAI | Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. | Wenzhen Huang, Junge Zhang, Kaiqi Huang |
| 2017 | ICDM | A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks. | Wenzhen Huang, Peipei Yang, Kaiqi Huang |