Projects per year
Personal profile
Chinese Name
樊軍
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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Jun FAN is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Learning theory of outcome weighted schemes and related topics
1/01/21 → 31/12/23
Project: Research project
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Approximation analysis of outcome weighted learning by convolutional neural networks
1/01/24 → 31/12/26
Project: Research project
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Analysis of kernel-based learning and testing schemes for large-scale data
1/01/20 → 30/06/23
Project: Research project
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Mathematical analysis of kernel based modal regression schemes
1/09/18 → 28/02/22
Project: Research project
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Approximation of Nonlinear Functionals Using Deep ReLU Networks
Song, L., Fan, J., Chen, D-R. & Zhou, D-X., Aug 2023, In: Journal of Fourier Analysis and Applications. 29, 4, 50.Research output: Contribution to journal › Journal article › peer-review
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Approximation of smooth functionals using deep ReLU networks
Song, L., Fan, J. & Zhou, D-X., Sept 2023, In: Neural Networks. 166, p. 424-436 13 p.Research output: Contribution to journal › Journal article › peer-review
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Online gradient descent algorithms for functional data learning
Chen, X., Tang, B., Fan, J. & Guo, X., Jun 2022, In: Journal of Complexity. 70, 101635.Research output: Contribution to journal › Journal article › peer-review
5 Citations (Scopus) -
Comparison theorems on large-margin learning
Benabid, A., Fan, J. & Xiang, D. H., Sept 2021, In: International Journal of Wavelets, Multiresolution and Information Processing. 19, 5, 2150015.Research output: Contribution to journal › Journal article › peer-review
2 Citations (Scopus) -
Optimal learning with Gaussians and correntropy loss
Lv, F. & Fan, J., Jan 2021, In: Analysis and Applications. 19, 1, p. 107-124 18 p.Research output: Contribution to journal › Journal article › peer-review
12 Citations (Scopus)
Activities
- 5 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Frontiers in Applied Mathematics and Statistics (Journal)
Jun FAN (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)
Jun FAN (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)
Jun FAN (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)
Jun FAN (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)
Jun FAN (Associate editor)
2019 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)