Shuyang Zhu (朱舒阳) is a PhD student in MoS Lab, Tsinghua University. His research interests include multimodal coordinated transport, emergency logistics systems, and transportation service network design.
[1] Zhang Y, Zhu S, Pu K, Cui H, Gan M, Liu X, Ai R. (2026). Dynamic multimodal transport planning with drones for emergency logistics: mathematical model and heuristic algorithm, Transportation Research Part E: Logistics and Transportation Review, 206, 104558. (JCR Q1, ABS/AJG 3, IF=9.3)
[2] Zhang Y, Zhu S, Chen Y, Li P, Feng J, Li R, Liu X, Gan M, Yang S, Chen N, Ai R (2026). Priority-based Multi-task Scheduling for Shared Micro-mobility Systems, Transportation Research Part C: Emerging Technologies, 190, 105796. (JCR Q1, IF=8.4)
[3] Zhang Y, Zhu S, Li Y, Tan X, Liu Z, Tang H, Gan M, Liu X, Ai R (2026). Dynamic Multimodal Routing with Drones under Communication Uncertainty in Emergency Logistics: A Hybrid Reinforcement Learning–Heuristic Approach, IET Intelligent Transport Systems 20, no. 1 (2026): e70302. (Co-first author, JCR Q3, IF=3.72)
[4] Zhang Y, Huang L, Wang J, Lin H, Zhu S, Gan M, Liu X, Ai R. (2026). Data-driven optimization for maritime logistics: integrating transport network mining with ship fleet routing, Transportation Research Part C: Emerging Technologies, 183, 105451. (JCR Q1, IF=8.4).