Jingwei Wang

According to our database, Jingwei Wang authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare.

Yu Zheng, Qianyue Hao, Jingwei Wang, Changzheng Gao, Jinwei Chen, Depeng Jin, Yong Li

ACM Comput. Surv., April, 2025

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li

CoRR, January, 2025

Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey.

Zefang Zong, Tao Feng, Jingwei Wang, Tong Xia, Yong Li

ACM Trans. Knowl. Discov. Data, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning.

Zefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022