James Jianqiao Yu
余剑峤
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Lecturer

Department of Computer Science

University of York

CSE/139, YO10 5GH, UK

jqyu(at)ieee.org Google Scholar
Hello!

I am Jianqiao, a lecturer at Department of Computer Science, University of York. I received my B.Eng. and Ph.D. from The University of Hong Kong in 2011 and 2015.

I am passionate on innovating artificial intelligence techniques and using them for spatial-temporal data mining. I have published more than 100 papers with 5000+ Google Scholar citations. I am one of the World’s Top 2% Scientists by Stanford University.

My current research interest focuses on 1) multi-modal large language model 2) spatial-temporal data mining, and 3) forecasting and logistics of future transportation systems. I am currently working on multi-modal large language models fusing spatial-temporal data with common modalities. Drop me a line if you are interested in any of these.

I was born in 1990 in Liaoning, China. I live with my wife and two cats 🐈小宝 & 🐈小葵. Dog in my portrait above is my “sister-in-law” 🐕小花. In my spare time, I like coding. I am the author of LaTeX Workshop, serving more than 3,000,000 academic writers.

I am looking for graduate students, post-doctoral researchers, and undergraduates to work with me on exciting data science topics. If you are interested, please send me an email with your vitae.

Short Bio

James Jianqiao Yu received the B.Eng. and Ph.D. degree in Electrical and Electronic Engineering from the University of Hong Kong, Pokfulam, Hong Kong, in 2011 and 2015, respectively. He was a post-doctoral fellow at the University of Hong Kong from 2015 to 2018, and was an assistant professor at the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China from 2018 to 2023. He is currently a Lecturer at the Department of Computer Science, the University of York, United Kingdom. His general research interests are in data mining, embodied artificial intelligence, and intelligent transportation systems. His work is now mainly on multi-modal large language model, spatial-temporal data mining, forecasting and logistics of future transportation systems. He has published over 100 academic papers in top international journals and conferences, and representative papers have been selected as ESI highly cited papers. He was the World’s Top 2% Scientists from 2020 to 2023 and of career by Stanford University. He is an Editor of the IET Smart Cities journal and a Senior Member of IEEE.

Education Selected Recent Publications [Full List] Representative Honors
  • World's Top 2% Scientists of Career, 2023, 2024
  • World's Top 2% Scientists of Single Year, 2020, 2021, 2022, 2023, 2024
  • Overseas High-Caliber Personnel Level-C, Shenzhen, 2019
Professional Employment Teaching University of York
  • Intelligent Systems: Machine Learning and Optimisation: S'24
Southern University of Science and Technology The University of Hong Kong
  • Embedded System: F'17, F'16
  • Engineering Management and Society: F'14