Server-Client Collaborative Distillation for Federated Reinforcement Learning. - Weiming Mai; Jiangchao Yao; Chen Gong 002; Ya Zhang 002; Yiu-Ming Cheung; Bo Han 003 (ACM Trans. Knowl. Discov. Data, 2024)

Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning. - Jie Gao 010; Rong Cheng; Yaoxin Wu; Honghao Zhao; Weiming Mai; Oded Cats (Comput. Ind. Eng., 2025)

Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks. - Weiming Mai; Jie Gao 010; Oded Cats (CoRR, 2025)

Evaluating Crowd Flow Forecasting Algorithms for Indoor Pedestrian Spaces: A Benchmark Using a Synthetic Dataset. - Weiming Mai; Dorine Duives; Panchamy Krishnakumari; Serge P. Hoogendoorn (IEEE Trans. Intell. Transp. Syst., 2025)