CV

Yiming_Li_cv.pdf

Education

• Ph.D in Transportation Engineering, Tongji University, 2030 (expected)
• B.S. in Transportation Engineering, Tongji University, 2024

Research

• Logistics Network Optimization: Stochastic modeling and dynamic programming for linehaul service networks and freight flow allocation.
• Reinforcement Learning: Online exploration-exploitation algorithms with theoretical regret bounds for stochastic routing in mixed-autonomy traffic networks.
• Embodied AI: Multi-agent model-based offline reinforcement learning for coordinated locomotion in continuous physical environments.

Publications

Bandit-Guided Dynamic Programming for Last-Mile Delivery in Stochastic Networks

Li, Y., & Xiong, X. (2026). "Bandit-Guided Dynamic Programming for Last-Mile Delivery in Stochastic Networks." 2026 INFORMS Transportation Science and Logistics Conference. Cambridge, MA.

Multi-Armed Bandit for Stochastic Shortest Path in Mixed Autonomy

Bai, Y., Li, Y., & Xiong, X. (2025). "Multi-Armed Bandit for Stochastic Shortest Path in Mixed Autonomy." 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC). 3604-3609.

Intersection Congestion Identification Method Based on Fuzzy C-Means Clustering

Li, Y., Bai, Y., & Xiao, B. (2025). "Intersection Congestion Identification Method Based on Fuzzy C-Means Clustering." CICTP 2025: Transportation, Artificial Intelligence, and Energy. 2073-2084.

Intelligent Pixel-Level Segmentation of Pavement Sealed Cracks Using CycleGAN-Based Domain Adaptation

Li, Y., Chen, J., Lang, H., & Qian, J. (2025). "Intelligent Pixel-Level Segmentation of Pavement Sealed Cracks Using CycleGAN-Based Domain Adaptation." Transportation Research Board 104th Annual Meeting. Washington, D.C.

Talks

Multi-Armed Bandit for Stochastic Shortest Path in Mixed Autonomy

November 22, 2025

Conference Presentation at 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Gold Coast, Australia