Scholar
Jicong Fan
Google Scholar ID: vdJsnhIAAAAJ
The Chinese University of Hong Kong, Shenzhen
Citations & Impact
Citations
2,200
H-index
27
i10-index
50
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published over 50 papers in prestigious academic journals and international conferences such as IEEE TSP/TNNLS/TII, NeurIPS, ICLR, ICML, CVPR, KDD, and AAAI. Serves as an associate editor for Pattern Recognition and Neural Processing Letters, and as a domain chair for ICML, NeurIPS, and ICLR, and senior program committee member for IJCAI. Leads multiple research projects funded by the National Natural Science Foundation of China and Guangdong Province. Awarded the 2023 CAA Natural Science Award First Prize and listed in the Stanford University/Elsevier 2023 and 2024 'Global Top 2% Scientists' list.
Research Experience
- Postdoctoral Associate at Cornell University (Advisor: Madeleine Udell), visiting scholar at the University of Wisconsin-Madison, and Research Assistant at The University of Hong Kong.
Education
- PhD in Electronic Engineering from City University of Hong Kong (Advisor: Tommy W.S. Chow); Master's degree in Control Science and Engineering from Beijing University of Chemical Technology (Advisor: Youqing Wang); Bachelor's degree in Automation from Beijing University of Chemical Technology.
Background
- Currently an Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. Research interests include Artificial Intelligence and Machine Learning, specifically matrix/tensor methods, clustering algorithms, graph learning, anomaly detection, and recommendation systems.
Miscellany
- Current research topics in his group include foundational graph models, large-scale anomaly detection models, unsupervised automated machine learning, applications of AI in life sciences, chemistry, and chemical engineering, and big data-based health monitoring and disease diagnosis systems.
