I am Yang Shan (羊山), a PhD candidate in ISEM at the National University of Singapore (NUS). I am dedicated to developing intelligent decision-making and modeling methods for complex systems, focusing on the integration of reinforcement learning and optimization theory to create interpretable and scalable policy learning frameworks. My PhD thesis centers on using deep reinforcement learning (DRL) to address core problems in congestion management for real-world transportation networks.

Education

• B.S., Management Science and Engineering, Tongji University, 2021
• B,S.(Minor Degree), Law, Fudan University, 2021
• Ph.D, Industrial System and Engineering, National University of Singapore, 2025 (expected)

Publication

• Yang, S. and Liu, Y., 2024. Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach, Transportation Research Part B: Methodological, 189, 102997.
• Wang, J., Wang, X.L., Yang, S., Yang, H., Zhang, X.N. and Gao, Z.Y., 2021. Predicting the matching probability and ride/shared distance for each dynamic ridepooling order: A mathematical modeling approach. Transportation Research Part B 154, 125-146.

Remark: Transportation Research Part B is a top-2 journal in transportation theory.

Paper Under Review

• Yang S., Feng Y., Wang X.L., Liu Y., Designing a Forward-Looking Probabilistic Matching Policy for Dynamic Ridepooling Service, R&R at Manufacturing & Service Operations Management (utd24).
• Yang S., Zhong L.H., Liu Y., Model-Supplementary Learning for Congestion Pricing: A Bias-Aware Natural Policy Gradient Approach, under review at ISTTT26.

Working Paper

• Yang S., Liu Y. Learn to Desseminate Personalized Information to Vehicles in Stochastic Traffic Networks.

Conference Proceeding

• Yang S., Liu Y., 2024. Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach. The 25nd International Symposium on Transportation and Traffic Theory

Remark: ISTTT is the prestigious gathering for the world’s transportation and traffic theorists, regular acceptance rate: 10%.

Academic Services

Reviwer, The 22nd COTA International Conference of Transportation Professionals (CICTP 2022)

Honors

• NUS Research Scholarship, 2022
• National First Prize, China Contemporary Undergraduate Mathematical Contest in Modeling, 2020
• Kaisa Innovation and Entrepreneurship Scholarship of Tongji University, 2019
• Second Prize in Shanghai, “Internet+” Innovation and Entrepreneurship Competition, 2017