（#指导学生，*通讯作者）
1. Yu, X., Hua, M., Chen, J., Peng, J., Hua, M. (2025). Uncovering Passenger-seeking Behavior of Vacant Taxis from Trajectory Data via Self-supervised Deep Spectral Clustering. IEEE Transactions on Intelligent Transportation Systems, 26(4).
2. Hua, M., Yu, X., Chen, X., Chen, J., & Cheng, L. (2025). Can bike sharing achieve self-balancing distribution? Evidence from dockless and station-based cases. Travel Behaviour and Society, 38, 100879.
3. Dong, C., Xiong, Z., Li, N., Yu, X., Liang, M., Zhang, C., & Wang, H. (2025). A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms. Transportation Research Part E: Logistics and Transportation Review, 194, 103884.
4. Yu, X., Chen, J., Kumar, P., Khani, A., & Mao, H. (2024). An integrated optimization framework for locating depots in shared autonomous vehicle systems. Transportmetrica A: Transport Science, 20(2), 2152299.
5. Yao, H.#, Yu, X. *, Mao, H., Bai, D., & Zhang, S. (2024). The spatial spillover impact and transmission mechanisms of logistics agglomeration on eco-efficiency: A case study in China. Energy, 308, 132826.
6. Yu, S., Peng, J., Ge, Y., Yu, X., Ding, F., Li, S., & Ma, C. (2024). A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture. Computer‐Aided Civil and Infrastructure Engineering, 39(18), 2774-2787.
7. Yu, X., Zhu, Z., Mao, H., Hua, M., Li, D., Chen, J., & Xu, H. (2023). Coordinating matching, rebalancing and charging of electric ride-hailing fleet under hybrid requests. Transportation Research Part D: Transport and Environment, 123, 103903.
8. Yu, X., Khani, A., Chen, J., Xu, H., & Mao, H. (2022). Real-time holding control for transfer synchronization via robust multiagent reinforcement learning. IEEE Transactions on Intelligent Transportation Systems, 23(12), 23993-24007.
9. Yu, X., & Gao, S. (2022). A batch reinforcement learning approach to vacant taxi routing. Transportation Research Part C: Emerging Technologies, 139, 103640.
10. Mai, T., Yu, X.*, Gao, S., & Frejinger, E. (2021). Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm. Transportation Research Part B: Methodological, 151, 42-58.
11. Yu, X., Gao, S., Hu, X., & Park, H. (2019). A Markov decision process approach to vacant taxi routing with e-hailing. Transportation Research Part B: Methodological, 121, 114-134.
12. Yu, X., & Gao, S. (2019). Learning routing policies in a disrupted, congestible network with real-time information: An experimental approach. Transportation Research Part C: Emerging Technologies, 106, 205-219.
