Research Assistant Professor
Ph.D. Machine Learning from the Department of Electronic Engineering, City University of Hong Kong, 2018
M.S. Control Science and Engineering, Beijing University of Chemical Technology, 2013
B.S. Automation, Beijing University of Chemical Technology, 2010
Professor Jicong Fan is a Research Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. Professor Fan previously obtained his Ph.D. in Machine Learning from the Department of Electronic Engineering, City University of Hong Kong in 2018, and his Master's degree in Control Science and Engineering and Bachelor’s degree in Automation from Beijing University of Chemical Technology in 2013 and 2010 respectively. Prior to joining the Institute, he was a postdoc associate at Cornell University. He held research positions at The University of Wisconsin-Madison and The University of Hong Kong in 2018 and 2015 respectively.
Professor Fan's research fields include machine learning, computer vision, optimization, neuroscience signal processing and data analysis. He has worked on a number of research projects, including matrix recovery, tensor decomposition, clustering algorithms, data-driven discovery of models, and statistical process control & diagnosis. His research has been published on prestigious journals and conferences such as IEEE TSP, IEEE TNNLS, KDD, NeurIPS, CVPR, and AAAI.
Professor Fan is looking for PhD student, research assistant, and visiting student.
Jicong Fan (2021). Large-Scale Subspace Clustering via k-Factorization. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21).
Jicong Fan, Chengrun Yang, Madeleine Udell. Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. IEEE Transactions on Signal Processing, 2021(69): 1755-1770.
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell (2020). AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’20).
Jicong Fan, Yuqian Zhang, Madeleine Udell (2019). Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. AAAI 2020 (oral).
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell (2019). Factor group sparse regularization for efficient low-rank matrix recovery. NeurIPS 2019.
Jicong Fan, Madeleine Udell (2019). Online high-rank matrix completion. CVPR 2019 (oral).
Jicong Fan, Tommy W.S. Chow (2019). Exactly robust kernel principal component analysis. IEEE Transactions on Neural Networks and Learning System 31 (3), 749-761.
Jicong Fan, Jieyu Cheng (2018). Matrix completion by deep matrix factorization. Neural Networks 98, 34-41.