Recipient of the Shanghai Baiyulan Talent Program (Overseas). She has been a Research Associate at the Hong Kong University of Science and Technology.
Her research primarily focuses on the field of smart transportation, with a specific emphasis on understanding, inference, prediction, and management of multimodal urban transportation systems. She has published multiple papers in renowned academic SCI journals in the field of transportation engineering and top-tier computer science conferences recommended by CCF.
Education
Nov. 2022 Ph.D.
School of Computer Science and Engineering
University of New South Wales, Sydney, Australia
May. 2018 M.S.
School of Electrical and Computer Engineering
Rutgers, the State University of New Jersey, U.S
Jun. 2017 B.S.
School of Information and Communication Engineering
University of Electronic Science and Technology of China (UESTC), Chengdu, ChinaExperience
Research Associate, Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, 2023.1 – 2024.1
Research interests
Data-driven Mobility Analysis (e.g., demographic analysis for passengers)
Traffic Forecasting (e.g., demand, speed, and traffic flow prediction)
Transportation Systems Management and Control (e.g., bike re-position for bike sharing system, order dispatching for cooperative mobility-on-demand systems, and intelligent traffic light control)
Honors&Awards
Shanghai Baiyulan Talent Program (Overseas), 2023
Publications
Can Li, Wei Liu, “Multimodal Transport Demand Forecasting via Federated Learning”, IEEE Transactions on Intelligent Transportation Systems, 2023.
Can Li, Lei Bai, Wei Liu, Lina Yao, S Travis Waller, “A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications”, Transportmetrica B: Transport Dynamics, 11(1), 2179461, 2023.
Can Li, Lei Bai, Wei Liu, Lina Yao, S Travis Waller, “A multi-task memory network with knowledge adaptation for multimodal demand forecasting”, Transportation Research Part C: Emerging Technologies, 131, 103352, 2021.
Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Urban Mobility Analytics: A Deep Temporal-Spatial Product Neural Network for Demographics Prediction", Transportation Research Part C: Emerging Technologies, 124, 102921, 2021.
Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Graph Neural Network for Robust Public Transit Demand Prediction", IEEE Transactions on Intelligent Transportation Systems, 23(5), 4086-4098 , 2020.
Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, “Knowledge Adaptation for Demand Prediction based on Multi-task Memory Neural Network”, 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020.
Can Li, Lei Bai, Wei Liu, Lina Yao, Travis Waller, "Passenger Demographic Attributes Prediction for Human-centered Public Transport", 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network (ICONIP), 2019.