About Me
Taijie CHEN is a Ph.D. student in Traffic and Transportation Engineering at the University of Hong Kong, supervised by Dr. Jintao Ke and Prof. W. Y. Szeto. Before joining HKU, he worked as a Research Assistant supervised by Dr. Jintao Ke and Prof. Hai Yang. He received his bachelor’s degree in Software Engineering from Nankai University in 2021 and earned his master’s degree in Computer Science from the University of Hong Kong in 2022. His previous research interests mainly include the fields of reinforcement learning and deep learning. He is now looking for new opportunities in smart cities and intelligent transportation systems.
Education
- B.S. in Software Engineering, Nankai University, 2021
- M.S. in Computer Science, The University of Hong Kong, 2022
- Ph.D. in Traffic and Transportation Engineering, The University of Hong Kong, 2027 (expected)
Work Experience and Internship
- Jan. to Mar. 2023: Algorithm Engineer Intern
- Huawei 2012 Laboratory (Riemann Laboratory)
- Duties: Conduct research on ETA and EV’s consumption prediction.
- Jul. to Nov. 2022: Algorithm Engineer Intern
- Didi Chuxing
- Duties: Research on remote fault diagnosis of new energy electric vehicles.
- Jul. 2022 to Mar. 2023: Research Assistant
- Hong Kong University of Science and Technology (HKUST)
- Duties: Implement reinforcement learning algorithms for order matching and vehicle scheduling.
- Supervisors: Prof. Hai Yang and Dr. Jintao Ke
- Jan. to Jun. 2022: Research Assistant
- The University of Hong Kong (HKU)
- Duties: Develop simulators.
- Supervisor: Dr. Jintao Ke
Professional Services
- Reviewer, Transportation Research Board Annual Meeting
- Student Helper, 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS)
- Student Helper, 9th International Symposium on Transport Network Resilience
News
- 11/2024: Congrats! Our paper “Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models” has been accepted by the 31st International Conference on Computational Linguistics (COLING 2025).
- 10/2024: Congrats! Our paper “Dynamic Matching Radius Decision Model for On-Demand Ride Services: A Deep Multi-Task Learning Approach” has been accepted by Transportation Research Part E.
- 09/2024: Our article “Enhancing Autonomous Mobility on Demand Systems: A Hierarchical Repositioning Approach Integrating Regional-level and Route-level Decision” was presented at the TRC-30 Conference, Crete, Greece. [This paper will also be presented in HKSTS 2024 and TRBAM 2025.]
- 12/2023: I attended the 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS) and made a poster presentation.
- 04/2023: I am currently a Ph.D. student at HKU. I hope that I can enjoy this journey!