Biography

Guangyin Jin received B.S. degrees in Engineering from Xiamen University, Xiamen, China, in 2018 and the Ph.D. degree in Engineering from National University of Defense Technology, Changsha, China, in 2023. Now he is an assistant professor in National Innovative Institute of Defense Technology, Academy of Military Sciences, Beijing, China. He has published more than 30 papers in IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Intelligent Transportation Systems, ACM Trans. on Knowledge Discovery from Data, ACM Trans. on Intelligent Systems and Technology, Information Sciences, Transportation Research Part C, AAAI, CIKM, SIGSPATIAL and other journals or conferences. He has authored 1 academic book, obtained 5 National Invention Patents, and hosted/participated in more than 5 projects. His research interests include urban computing, spatio-temporal data mining, intelligent transportation and computational social science. He is now the reviewer of the IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Moblie Computing, IEEE Trans. on Knowledge and Intelligent Transportation Systems, Neural Networks, Information Fusion, Information Science, Applied Soft Computing, AAAI, ECML-PKDD, WWW and more than 30 other journals or conferences.

Education Backgroud

Bachelor (2014/09 – 2018/06)
Affiliations：Department of Mechanical and Electrical Engineering, College of Aeronautics and Astronautics, Xiamen University
Major/Direction: Mechanical Design, Manufacturing and Automation
Research Thesis: Arc Welding Anomaly Detection Based on Deep Learning Method

PhD (2018/09 – 2023/06)
Affiliations: Key Laboratory of Information Systems, School of Systems Engineering, National University of Defense Technology
Major/Direction: Management Science and Engineering
Research Thesis: Spatio-Temporal Data Modeling and Prediction Based on Deep Learning

Visting PhD (2020/10 – 2022/08)
Affiliations：Data Science and Intelligence Laboratory, Department of Electronic Engineering, Tsinghua University
Major/Direction: Data Science
Research Thesis: Urban Traffic Dynamic Prediction Based on Spatio-Temporal Graph Neural Network

Research Interests

1. Urban Spatial Mobility Big Data Mining
2. Urban Transportation Network Dynamics Forecasting
3. Human Group Behavior in Social Complex Systems
4. Interpretable Neural Networks Embedded with Physical Dynamics
5. Advanced Spatio-Temporal Graph Neural Networks
6. LLM-based Social Dynamics Simulation
7. Socio-technical Dynamics and Information Diffusion in Social Networks

Collaborators

Prof. Yu Zheng, Head of JD Intelligent Cities, China
Prof. Yong Li, Tsinghua University, China
Prof. Witold Pedrycz, University of Alberta, Canda
Prof. Yuxuan Liang, Hong Kong University of Science and Technology (Guangzhou), China
Prof. Christian S. Jensen, Aalborg University, Denmark
Prof. Roger Zimmermann, National University of Singapore, Singapore
Prof. Gao Cong, Nanyang Technological University , Singapore
Prof. Wei Ma, The Hong Kong Polytechnic University, Hong Kong
Prof. Jieping Ye, Alibaba Group, USA
Prof. Fei Wang, Chinese Academy of Sciences, China
Prof. Zezhi Shao, Chinese Academy of Sciences, China Prof. Jinlei Zhang, Beijing Jiaotong University, China
Prof. Huaiyu Wan, Beijing Jiaotong University, China
Prof. Lingbo Liu, Peng Cheng Laboratory, China
Prof. Theodore Modis, Growth Dynamics, Switzerland
Prof. Panchamy Krishnakumari, Delft University of Technology, Netherlands
Prof. Qingsong Wen, Squirrel AI, USA
Dr. Zhexu Xi, University of Oxford, UK
Dr. Yuchen Fang, University of Electronic Science and Technology, China