Professional Title / Position：Associate Professor
Research Direction: Artificial Intelligence, Brain Imaging Analysis, Efficient Intelligent Computing, Future Networkand Security
Team：Big Data and Visual Computing
Tel：
Email：jlhu@scut.edu.cn
Biography：
Dr. Jinlong Hu is an associate professor in the School of Computer Science and Engineering at South China University of Technology (SCUT). Before joining the School of Computer Science and Engineering in September 2013, he was a senior engineer at the Information Network Engineering and Research Center at SCUT. He joined SCUT in 2004. He is also a faculty member at the Guangdong Key Laboratory of Multimodal Big Data Intelligent Analysis at SCUT. From 2016 to 2017, he was a visiting scholar at Pennsylvania State University.
Education：
Ph.D., South China University of Technology, 2012
M.S., South China University of Technology, 2004
B.E., South China University of Technology, 1999
Work Experience：
2013 - present, Associate Professor, School of Computer Science and Engineering, South China University of Technology
2004-2013, Lecturer, Senior Engineer, Information Network Engineering Research Center, South China University of Technology
2016-2017, Visiting Scholar, The Pennsylvania State University, USA
Course：
Artificial Intelligence Security, Network Management and Future Networks, High Performance Computing and Cloud Computing, Signal Processing and Communication Fundamentals
Projects：
1. Research on explainable classification methods for mental disorders based on multimodal magnetic resonance imaging, 2025-2027, PI
2. Research on functional brain network analysis methods based on graph neural networks, 2021-2023, PI
3. Research on mobile advertising fraud detection based on large-scale graph analysis, 2018-2021, PI
4. Intelligent medical-assisted diagnosis technology and applications based on multi-omics learning, 2019–2024, Participants
5. Research on computing load forecasting and scheduling technologies in data center , 2025–2028, PI
6. Ultra-high-definition signal IP network conversion, transmission, and interactive control, 2024-2025, PI
7. Research and development of cluster management technologies for intelligent computing platforms, 2021-2022, PI
8. Multi-protocol traffic collection and analysis system, 2017–2020, PI
Publications：
[1]Jinlong Hu, Jiacheng Liu, Shoubin Dong, Bin Liao, Junjie Liang, Vasant Honavar, DGX: Uncovering General Behavior of Deep Graph Models with Model-level Explanation. IEEE Transactions on Computational Biology and Bioinformatics, 2025.
[2]Jinlong Hu, Yaqian Hou, Bo Peng, Bin Liao, Ziyun Xu, Gangqiang Hou, Shoubin Dong, Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study. Journal of Psychiatric Research, 2025, 182: 304-311.
[3]Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong, BrainNPT: Pre-training of Transformer networks for brain network classification, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024.
[4]Jinlong Hu, Jianmiao Luo, Ziyun Xu, Bin Liao, Shoubin Dong, Bo Peng, Gangqiang Hou. Spatio-temporal learning and explaining for dynamic functional connectivity analysis: Application to depression. Journal of Affective Disorders, 2024, 364: 266-273.
[5]Jinlong Hu, Yangmin Huang, Xiaojing Zhang, Bin Liao, Gangqiang Hou, Ziyun Xu, Shoubin Dong, Ping Li, Identifying suicide attempts, ideation, and non-ideation in major depressive disorder from structural MRI data using deep learning, Asian Journal of Psychiatry, Volume 82, 2023.
Awards：
Guangdong Provincial Science and Technology Progress Award (Second Prize), 2020
