About Me
I am currently a Lecturer (Assistant Professor) at the Department of Computer Science, University of York, United Kingdom. I am most interested in intelligent transportation systems, privacy computing, deep learning, and smart cities development.
I am constantly looking for motivated prospective graduate students and postdocs with interests in deep learning and intelligent transportation systems to join the group. Visiting scholars, research assistants and undergraduates are also very welcome.
Teaching Experience
Southern University of Science and Technology
- Introduction to Computer Programming: S'23, F'21, F'20, F'19
- Digital Logic: F'22, S'21, S'20, S'19
- Digital Logic (H): M'22, M'21
- Introduction to Computer Programming (H): F'21, F'20
The University of Hong Kong
- Embedded System: F'16, F'17
- Engineering Management and Society: F'14
- Sustainability and Climate Change: S'14
- Communications Engineering: S'12
Selected Recent Publications [Full List]
Corresponding author*, students/scholars under my supervision, and equal contribution authors'.
- Citywide Estimation of Travel Time Distributions with Bayesian Deep Graph Learning
James Jianqiao Yu
IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 3, Mar. 2023, Pages 2366-2378 - DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao*, and James Jianqiao Yu*
Proc. Annual Conference on Neural Information Processing Systems, New Orleans, LA, US, Dec. 2023 - CatETA: A Categorical Approximate Approach for Estimating Time of Arrival
Yongchao Ye', Yuanshao Zhu', Christos Markos, and James Jianqiao Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 12, Dec. 2022, Pages 24389-24400 - Cross-Area Travel Time Uncertainty Estimation from Trajectory Data: A Federated Learning Approach
Yuanshao Zhu', Yongchao Ye', Yi Liu, and James Jianqiao Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 12, Dec. 2022, Pages 24966-24978 - Towards Crowdsourced Transportation Mode Identification: A Semi-supervised Federated Learning Approach
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, and James Jianqiao Yu*
IEEE Internet of Things Journal, Volume 9, Issue 14, Jul. 2022, Pages 11868-11882 - Sybil Attack Identification for Crowdsourced Navigation: A Self-supervised Deep Learning Approach
James Jianqiao Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 22, Issue 7, Jul. 2021, Pages 4622-4634 - Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning
Christos Markos, James Jianqiao Yu*, and Richard Y.D. Xu
Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2021 - Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Yi Liu, James Jianqiao Yu*, Jiawen Kang, Dusit Niyato, and Shuyu Zhang
IEEE Internet of Things Journal, Volume 7, Issue 8, Aug. 2020, Pages 7751-7763 - Synchrophasor Recovery and Prediction: A Graph-based Deep Learning Approach
James Jianqiao Yu, David J. Hill, Victor O.K. Li, and Yunhe Hou
IEEE Internet of Things Journal, Volume 6, Issue 5, Oct. 2019, Pages 7348-7359 - Online Vehicle Routing with Neural Combinatorial Optimization and Deep Reinforcement Learning
James Jianqiao Yu, Wen Yu, and Jiatao Gu
IEEE Transactions on Intelligent Transportation Systems, Volume 20, Issue 10, Oct. 2019, Pages 3806-3817
Representative Honors
- World's Top 2% Scientists (Career) 全球前2%顶尖科学家科学影响力榜单（终身） , 2023
- World's Top 2% Scientists (Single Year) 全球前2%顶尖科学家科学影响力榜单（年度） , 2020, 2021, 2022, 2023 Top 0.24% in Transportation sub-field, top 0.38% in Artificial Intelligence sub-field.
- Overseas High-Caliber Personnel Level-C 深圳市海外高层次人才计划C类 , 2019
Professional Employment
-
Lecturer (Assistant Professor), Sept. 2023 – Present
Department of Computer Science, University of York -
Assistant Professor, Dec. 2018 – Aug. 2023
Department of Computer Science and Engineering, Southern University of Science and Technology -
Post-doctoral Fellow, Sept. 2015 – Dec. 2018
Department of Electrical and Electronic Engineering, The University of Hong Kong
Advisor: Prof. David John Hill -
Visiting Scholar, Jun. 2013 – Jul. 2013
Department of Computation, Center for Research and Advanced Studies of the National Polytechnic Institute
Host: Prof. Carlos Artemio Coello Coello, Prof. Wen Yu
Education
-
Doctor of Philosophy, Sept. 2015
Department of Electrical and Electronic Engineering, The University of Hong Kong
Thesis: A Social Spider Inspired Metaheuristic for Global Numerical Optimization and its Applications
Advisor: Prof. Victor O.K. Li -
Bachelor of Engineering (Hons.), Aug. 2011
Department of Electrical and Electronic Engineering, The University of Hong Kong