Shen Minyu

Email: shenminyu@swufe.edu.cn

Tel: +86 16605731026

Personal Profile

Currently a lecturer in the Department of Management Science, School of Management Science and Engineering, PhD and postdoctoral fellow in the Department of Electrical Engineering, Hong Kong Polytechnic University, and visiting scholar at the University of Michigan. Research interests: bus operation management, transportation network game modeling, and the intersection of deep reinforcement learning in the above fields. Fusion.

In the top/authoritative journals of transportation management, Transportation Research Part A/B/C, Transportation He has published papers in Science, etc. He Host the National Natural Science Foundation Youth Project, the Sichuan Natural Science Foundation Youth Project, the Sichuan Overseas Students Science and Technology Activity Project, and the Central Universities Basic Scientific Research Business Talent Research Start-up Funding Key Project.

Educational Background

PhD, Transportation Systems Engineering, Hong Kong Polytechnic University

Master, Transportation Planning and Management, Southwest Jiaotong University

Bachelor, Transportation, Southwest Jiaotong University

Research/Work Experience

2022.07 - Present, Lecturer, School of Management Science and Engineering, Southwestern University of Finance and Economics

2022.03 - 2022.07, Lecturer, School of Business Administration, Southwestern University of Finance and Economics

2020.11 - 2021.11, Postdoctoral Fellow, Department of Electrical Engineering, The Hong Kong Polytechnic University

2018.03 - 2018.07, Visiting Scholar, Transportation Research Center, University of Michigan

2015.03 - 2015.09, he was an assistant researcher at the Department of Electrical Engineering, The Hong Kong Polytechnic University.

Representative Papers

[1] Shen, M., Gu, W.*, Hu, S., Cheng, H. (2019) Capacity Approximations for Near- and Far-side Bus Stops in Dedicated Bus Lane. Transportation Research Part B:Methodological.

[2] Xiao, F.*,Shen, M., Xu, Z., Li, R., Yang, H., Yin, Y. (2019) Day-to-day Flow Dynamics for Stochastic User Equilibrium and A General Lyapunov Function. Transportation Science.

[3] Zhang, D., Xiao, F.,Shen , M., Zhong, S. (2020) DNEAT: A Novel Dynamic Node-Edge Attention Network for Origin-destination Demand Prediction. Transportation Research Part C: Emerging Technologies.

[4] Shen, M., Gu, W.*, Hu, S.,Xiao , F. (2023) Efficient Heuristic Methods for Berth Allocation at Multi-line, Multi-berth Curbside Bus Stops. Transportation Research Part C: Emerging Technologies.

[5] Hu S.,Shen M., Gu W.*(2023). Impacts of Bus Overtaking Policies on the Capacity of Bus Stops. Transportation Research Part A: Policy.

Serve As Journal Reviewer

[1] Transportation Research Part B

[2] European Journal of Operational Research

Submitting Papers

[1] Bi X., Shen M.*, Gu W., Chuang CS, Wang Y.Dynamic Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach.Transportation Research Part C: Emerging Technologies. Under review.

Working Papers

[1] Shen M., BiX ., Gu W., Xu Z., Xiao F., Learning to hold buses from historical bus trajectories for improving bus operations. Ready for submission.

[2] Shen M., Xiao F., Gu W., Ye H., Cognitive Hierarchy in Day-to-day Traffic Dynamics. Almost ready for submission.

[3] Shen , M., Gu, W., Cassidy, MJ, Ni, W., Lin, Y. Abating a vicious cycle in bus operations along busy corridors by holding. Almost ready for submission.

Mentoring Student Experience

[1] Guided two undergraduate students from the class of 2023 to win the school's outstanding graduation thesis: Xu Junqiao's "Campus Unmanned Delivery Path Optimization Based on Mobile Robots" and Ouyang Zhongkun's "On Bus Route Simulation and Bus Clustering Phenomenon Analysis".

[2] Guided three students to win the third prize at the provincial level in the 16th College Student Computer Design Competition.

Teaching Experience

[1] Teacher at Southwestern University of Finance and Economics: Reinforcement Learning (PhD), Network Modeling and Equilibrium Analysis (Master), Machine Learning and Data Mining (Bachelor).

[2] Teaching Assistant at the Hong Kong Polytechnic University: 2016-2019. Courses taught include: Fundamentals of Traffic Engineering, Computer Programming, and Introduction to Society and Engineering.

Patent Software Copyright

[1] Xiao Feng, Shen Minyu, Tu Wenwen, Zheng Menglei (2017) A load detection method based on tire pressure, a bus passenger flow calculation method and device based on tire pressure detection. CN104132722B

[2] Xiao Feng, Tu Wenwen, Chen Dong, Shen Minyu (2018) A method and device for judging traffic congestion based on mobile phone motion sensor data. CN105741554A

[3] Xiao Feng, Shen Minyu, Chen Dong, (2013) Software Copyright, Smart Public Transport. 2013SRO84783

[4] Xiao Feng, Shen Minyu, Chen Dong, (2013) Software Copyright, 2013SRO84788

Academic Conference Report

[1] Research on path and speed planning of electric vehicles based on deep reinforcement learning, South China University of Technology, 2022

[1] The 22nd COTA International Transportation Technology Conference, Sustainable Public Transit Session, 2022

Participate In Some Scientific Research Projects and Application Development

[1] Hong Kong Research Grants Council Project: On the Congestion in Bus Systems: Queueing Dynamics and Mitigation Strategies 2015–2018

As the main researcher, he developed bus corridor simulation platform software and studied strategies to alleviate bus congestion; he used deep reinforcement learning technology based on the simulation platform to optimize queue delays.

[2] Hong Kong Research Grants Council Project: Design and Management of Busy Bus Stops With Multiple Berths: Analytical Models and Real-World Case Studies 2015–2016

As the main researcher, he developed a bus station operation simulation platform and visualization tools, and conducted research on station organization optimization.