James Jianqiao Yu
余剑峤
Home Publications Services 中文

Professor

School of Computer Science and Technology

Harbin Institute of Technology (Shenzhen)

University Town of Shenzhen, Nanshan District, Shenzhen, Guangdong, China

jqyu(at)hit.edu.cn jqyu(at)ieee.org Google Scholar
Hello!

I am Jianqiao, a full Professor at the School of Computer Science and Technology of Harbin Institute of Technology (Shenzhen). 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 6000+ Google Scholar citations. I am one of the World’s Top 2% Scientists by Stanford University.

My current research interest focuses on 1) spatial-temporal data mining, 2) multi-modal large model, 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.

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 3,600,000 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 is a Professor with the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). He 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. He held professorship/lectureship at Southern University of Science and Technology, China and University of York, United Kingdom from 2018 to 2024. His general research interests are in data mining, embodied artificial intelligence, and intelligent transportation systems. His work is now mainly on spatial-temporal data mining, multi-modal large language model, and 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 2024 and of career by Stanford University. He is an Editor of the IEEE Transactions on Intelligent Transportation Systems and IET Smart Cities. He is 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