Introduction

Dr. Li interests primarily focus on the field of intelligent transportation, with specific directions in understanding, inferring, predicting, and managing multimodal urban traffic systems. She have published several papers in renowned academic SCI journals in the fields of traffic engineering and computer science, as well as top CCF-recommended conferences in the computer domain. Dr. Li is a recipient of the Shanghai BaiYuLan Talent Plan (Overseas). Additionally, Dr. Li serve as a young committee member for both the Multimodal Traffic Control Technology Committee and the Artificial Intelligence and Transportation Management Committee at the World Congress on Transportation.

Research Directions

Multimodal Urban Transportation System Analysis

Demand Forecasting and Regulation of Multimodal Transportation Systems

Work Experience

January 2023 – January 2024: Research Associate at the Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology.

Educational Background

Feb. 2019 ~ Nov. 2022: Ph.D. in Computer Science and Engineering, Faculty of Engineering, University of New South Wales, Sydney, Australia.

Sep. 2016 ~ May 2018: Master of Engineering in Electrical and Computer Engineering, Rutgers University, New Jersey, USA.

Sep. 2013 ~ June 2017: Bachelor of Engineering in Communication Engineering, University of Electronic Science and Technology of China.

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.

-Qingying He, Mingyou Ma, Can Li, Wei Liu, “Learning and Managing Stochastic Network Traffic Dynamics: A Digital Twin based Approach”, Transportmetrica B: Transport Dynamics, 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.

-Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang, “Deep spatial–temporal sequence modeling for multi-step passenger demand prediction”, Future Generation Computer Systems, 121, 25-34, 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.

-Zhiwei Yang, Can Li, Jingjuan Jiao, Wei Liu, Fangni Zhang, “On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China”, Transport Policy, 99, 20-30, 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.

Academic Service

-Journal Reviewer

Knowledge-Based Systems, Transportmetrica A: Transport Science, Transportation Research Part C: Emerging Technologies, Journal of Management Science and Engineering, Engineering Applications of Artificial Intelligence, Expert Systems with Applications

-Conference Paper Reviewer

Joint COTA International Conference of Transportation Professionals, International Conference of Hong Kong Society for Transportation Studies, World Transport Convention