Personal profile
Chinese Name
Biography
I am an Associate Professor in the Department of Mathematics at Hong Kong Baptist University. Prior to starting at HKBU, I was working as a research associate in the Department of Statistics at University of Wisconsin-Madison. I received my Ph.D. in Applied Mathematics from City University of Hong Kong and my B.Sc. in Statistics from Beijing Normal University.
Research Interests
statistical machine learning, deep learning theory, high dimensional data analysis
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Collaborations and top research areas from the last five years
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A Study on Deep Learning Methods for Inverse Scattering Problems
FAN, J. (PI), NG, K. P. (CoI), LIU, H. (CoI), ZHANG, Y. (CoI), Wang, Y. (PI), Zhang, Q. (CoI), Lee, W. (CoI), Zhang, J. (CoI) & Zhang, R. (CoI)
1/05/25 → 30/04/28
Project: Research project
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Generalization analysis of operator learning by deep neural networks
FAN, J. (PI)
1/01/25 → 31/12/27
Project: Research project
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Approximation analysis of outcome weighted learning by convolutional neural networks
FAN, J. (PI)
1/01/24 → 31/12/26
Project: Research project
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基于核密度估计的有监督学习算法及其理论 Kernel Density Estimation Driven Supervised Learning: Algorithms and Theory
FAN, J. (PI) & ZHANG, Y. (CoI)
1/01/24 → 31/12/26
Project: Research project
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Computational models for health management system using multi-source data
ZHANG, L. (PI), CHEUNG, K. W. (CoPI) & FAN, J. (CoPI)
1/09/22 → 31/08/24
Project: Research project
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Learning Fréchet differentiable operators via prespecified neural operators
Cheng, K., Fan, J., Song, L. & Zhou, D. X., May 2026, In: Applied and Computational Harmonic Analysis. 84, 101878.Research output: Contribution to journal › Journal article › peer-review
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Nonlinear functional regression by functional deep neural network with kernel embedding
Shi, Z., Fan, J., Song, L., Zhou, D. X. & Suykens, J. A. K., Dec 2025, In: Journal of Machine Learning Research. 26, 49 p., 284.Research output: Contribution to journal › Journal article › peer-review
Open Access1 Citation (Scopus) -
Nyström subsampling for functional linear regression
Fan, J., Liu, J. & Shi, L., Sept 2025, In: Journal of Approximation Theory. 310, 25 p., 106176.Research output: Contribution to journal › Journal article › peer-review
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Online outcome weighted learning with general loss functions
Yang, A., Fan, J. & Xiang, D.-H., Jun 2025, In: Journal of Complexity. 88, 29 p., 101931.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
Distributed Gradient Descent for Functional Learning
Yu, Z., Fan, J., Shi, Z. & Zhou, D. X., Sept 2024, In: IEEE Transactions on Information Theory. 70, 9, p. 6547-6571 25 p.Research output: Contribution to journal › Journal article › peer-review
5 Citations (Scopus)
Activities
- 5 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Frontiers in Applied Mathematics and Statistics (Journal)
FAN, J. (Associate editor)
2023 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Journal of Mathematics (Journal)
FAN, J. (Member of editorial board)
2022 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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International Journal of Reproducing Kernels (Journal)
FAN, J. (Member of editorial board)
2022 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Software Impacts (Journal)
FAN, J. (Associate editor)
2021 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Mathematical Foundations of Computing (Journal)
FAN, J. (Associate editor)
2019 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)