RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning. - Zefang Zong; Hansen Wang; Jingwei Wang 002; Meng Zheng 003; Yong Li 008 (KDD, 2022)

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD, 2024)

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Qin Zhang 011; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD (1), 2025)

Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey. - Zefang Zong; Tao Feng; Jingwei Wang 002; Tong Xia; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. - Fengli Xu; Qianyue Hao; Zefang Zong; Jingwei Wang 002; Yunke Zhang; Jingyi Wang 002; Xiaochong Lan; Jiahui Gong; Tianjian Ouyang; Fanjin Meng; Chenyang Shao; Yuwei Yan; et al. (CoRR, 2025)

A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare. - Yu Zheng 010; Qianyue Hao; Jingwei Wang 002; Changzheng Gao; Jinwei Chen; Depeng Jin; Yong Li 008 (ACM Comput. Surv., 2025)