Xinlian Yu, Ph.D., Assistant Professor,
School of Transportation, Southeast University
Si Pai Lou #2, Nanjing, China, 210096
+86 18262634846 (Cell)
Email: xinlianyu@seu.edu.cn
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EDUCATION
Ph.D. in Transportation Engineering, 2/2019
Master in Statistics, 5/2018
University of Massachusetts Amherst, MA, USA
Master in Management Science, 6/2011
Nanjing University, Nanjing, China
B.S. in Management Science, 6/2011
Southeast University, Nanjing, China
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ACADEMIC APPOINTMENTS
Assistant Professor, 10/2020 – Present
Southeast University, Nanjing, China
Postdoctoral Researcher, 3/2019 – 8/2020
Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, MN, USA
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RESEARCH INTERESTS
Transportation Network Modelling Travel Behavior Analysis
Transportation System optimization
Deep Learning and its Application in Transportation
SELECTED PUBLICATIONS
for details refer to https://scholar.google.com/citations?hl=en&user=DLVEQEgAAAAJ&view_op=list_works&sortby=pubdate)
(*represents corresponding author)
1.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.
2.Yu, X., Chen, J., Kumar, P., Khani, A., & Mao, H. (2022). An integrated optimisation framework for locating depots in shared autonomous vehicle systems. Transportmetrica A: Transport Science, 1-39.
3.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.
4.Yu, X., & Gao, S. (2022). A batch reinforcement learning approach to vacant taxi routing. Transportation Research Part C: Emerging Technologies, 139, 103640.
5.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.
6.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.
7.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.
8. Shen, X., Chen, J., Zhu, S., & Yu, X. (2023). A data-driven inspection method for identifying container bookings with concealed hazardous materials. Engineering Optimization, 1-21.
9. Dong, C., Xing, L., Wang, H., Yu, X., Liu, Y., & Ni, D. (2023). Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation. Accident Analysis & Prevention, 183, 106970.
10. Liu, Y., Xu, H., Yu, X., & Zhou, J. (2022). Heuristic feeder‐bus operation strategy considering weather information: a chance‐constrained model. International Transactions in Operational Research.
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RESEARCH PROJECTS
1. PI, National Natural Science Foundation in China, Non-myopic relocation of ride-hailing vehicles considering dynamic supply-demand interaction, ￥300,000, 2023.01-present
2. PI, Natural Science Foundation of Jiangsu Province, Joint matching and routing of empty ride-hailing vehicles under hybrid requests, ￥200,000, 2022.07-present
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TEACHING EXPERIENCE
Courses Taught:
§ Logistics system planning and design (undergraduate level), Spring semester
§ Design of integrated transport system (undergraduate level), Summer school
§ Logistics system optimization and simulation (graduate level), Spring semester
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GRADUATE STUDENT SUPERVISION
Graduate Students:
Manyun Wang (enrolled in Autumn 2023)
Ailun Lan (enrolled in Autumn 2023, Suzhou Campus))
Zihao Zhu (enrolled in Autumn 2022, co-supervision with Haijun Mao)
Qianli Zhang (enrolled in Autumn 2021, co-supervision with Haijun Mao)
Zhihao Wang (enrolled in Autumn 2019, co-supervision with Haijun Mao)
Shunfeng Zhang (enrolled in Spring 2022, PhD student, co-supervision with Haijun Mao)
Hua Yao (enrolled in Spring 2023, PhD student-supervision with Haijun Mao)
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ACADEMIC SERVICES
Reviewer – Transportation Research Part B (2019 – present)
Reviewer – Transportation Research Part C (2019 – present)
Reviewer – Transportation Research Part E (2020 – present)
Reviewer – IEEE Transactions on Intelligent Transportation Systems (2019 – present)
Reviewer – Transportation Letters (2020 – present)
Reviewer – Transportation Policy (2020 – present)
Reviewer – Computer Aided Civil and Infrastructure Engineering (2021 – present)