Jun Fan

About

Work

Hong Kong Baptist University
|

Associate Professor

China

Hong Kong Baptist University
|

Assistant Professor

China

University of Wisconsin–Madison
|

Research Associate

US

Education

City University of Hong Kong
China

Ph.D.

Beijing Normal University
China

B.Sc.

Publications

Generalization analysis of deep CNNs under maximum correntropy criterion

Published by

Neural Networks

Summary

journal-article

Distributed Gradient Descent for Functional Learning

Published by

IEEE Transactions on Information Theory

Summary

journal-article

High-probability generalization bounds for pointwise uniformly stable algorithms

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Applied and Computational Harmonic Analysis

Summary

journal-article

Learning Korobov Functions by Correntropy and Convolutional Neural Networks

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Neural Computation

Summary

journal-article

Nonlinear functional regression by functional deep neural network with kernel embedding

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arXiv

Summary

other

On the convergence of gradient descent for robust functional linear regression

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Journal of Complexity

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journal-article

Optimal prediction for kernel-based semi-functional linear regression

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Analysis and Applications

Summary

journal-article

SPECTRAL ALGORITHMS FOR FUNCTIONAL LINEAR REGRESSION

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Communications on Pure and Applied Analysis

Summary

journal-article

Approximation of Nonlinear Functionals Using Deep ReLU Networks

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Journal of Fourier Analysis and Applications

Summary

journal-article

Approximation of Nonlinear Functionals Using Deep ReLU Networks

Published by

arXiv

Summary

other

Approximation of smooth functionals using deep ReLU networks

Published by

Neural Networks

Summary

journal-article

Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks (Journal of Fourier Analysis and Applications, (2023), 29, 4, (50), 10.1007/s00041-023-10027-1)

Published by

Journal of Fourier Analysis and Applications

Summary

journal-article

Distributed Gradient Descent for Functional Learning

Published by

arXiv

Summary

other

Online gradient descent algorithms for functional data learning

Published by

Journal of Complexity

Summary

journal-article

Comparison theorems on large-margin learning

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International Journal of Wavelets, Multiresolution and Information Processing

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journal-article

Optimal learning with Gaussians and correntropy loss

Published by

Analysis and Applications

Summary

journal-article

Optimal prediction for kernel-based semi-functional linear regression

Published by

arXiv

Summary

other

A Statistical Learning Approach to Modal Regression

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Journal of Machine Learning Research

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journal-article

Quantitative convergence analysis of kernel based large-margin unified machines

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Communications on Pure and Applied Analysis

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journal-article

Convergence analysis of distributed multi-penalty regularized pairwise learning

Published by

Analysis and Applications

Summary

journal-article

Convergence analysis of distributed multi-penalty regularized pairwise learning

Published by

Analysis and Applications

Summary

journal-article

A statistical learning approach to modal regression

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Journal of Machine Learning Research

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journal-article

Doubly robust estimation of average treatment effect revisited

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arXiv

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other

Comparison theorems on large-margin learning

Published by

arXiv

Summary

other

Optimal learning with Gaussians and correntropy loss

Published by

Analysis and Applications

Summary

journal-article

An RKHS approach to estimate individualized treatment rules based on functional predictors

Published by

Mathematical Foundations of Computing

Summary

journal-article

AN RKHS APPROACH TO ESTIMATE INDIVIDUALIZED TREATMENT RULES BASED ON FUNCTIONAL PREDICTORS

Published by

Mathematical Foundations of Computing

Summary

journal-article

Quantifying predictive capability of electronic health records for the most harmful breast cancer.

Published by

Proceedings of SPIE--the International Society for Optical Engineering

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journal-article

Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age.

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AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Summary

journal-article

Quantifying predictive capability of electronic health records for the most harmful breast cancer

Published by

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

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conference-paper

Breast Cancer Risk Prediction Using Electronic Health Records

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2017 IEEE International Conference on Healthcare Informatics (ICHI)

Summary

conference-paper

Breast Cancer Risk Prediction Using Electronic Health Records

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Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017

Summary

conference-paper

Learning rates for regularized least squares ranking algorithm

Published by

Analysis and Applications

Summary

journal-article

Learning rates for regularized least squares ranking algorithm

Published by

Analysis and Applications

Summary

journal-article

A statistical learning approach to modal regression

Published by

arXiv

Summary

other

Breast Cancer Risk Prediction Using Electronic Health Records

Published by

2017 IEEE International Conference on Healthcare Informatics (ICHI)

Summary

conference-paper

Sparsity and error analysis of empirical feature-based regularization schemes

Published by

Journal of Machine Learning Research

Summary

journal-article

Structure-Leveraged Methods in Breast Cancer Risk Prediction

Published by

Journal of Machine Learning Research

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journal-article

Structure-leveraged methods in breast cancer risk prediction

Published by

Journal of Machine Learning Research

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journal-article

Comment

Published by

Journal of the American Statistical Association

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journal-article

Personalized Dose Finding Using Outcome Weighted Learning Comment

Published by

Journal of the American Statistical Association

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journal-article

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

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Academic Radiology

Summary

journal-article

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

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Academic Radiology

Summary

journal-article

Consistency analysis of an empirical minimum error entropy algorithm

Published by

Applied and Computational Harmonic Analysis

Summary

conference-paper

Consistency analysis of an empirical minimum error entropy algorithm

Published by

Applied and Computational Harmonic Analysis

Summary

journal-article

Discriminatory power of common genetic variants in personalized breast cancer diagnosis

Published by

Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment

Summary

conference-paper

Discriminatory power of common genetic variants in personalized breast cancer diagnosis

Published by

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Summary

conference-paper

Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes

Published by

Journal of Machine Learning Research

Summary

journal-article

Parameterized BLOSUM matrices for protein alignment

Published by

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Summary

journal-article

Parameterized BLOSUM Matrices for Protein Alignment

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Ieee-Acm Transactions on Computational Biology and Bioinformatics

Summary

journal-article

Regularization schemes for minimum error entropy principle

Published by

Analysis and Applications

Summary

journal-article

Regularization schemes for minimum error entropy principle

Published by

Analysis and Applications

Summary

journal-article

Learning Theory Approach to Minimum Error Entropy Criterion

Published by

Journal of Machine Learning Research

Summary

journal-article

Learning theory approach to minimum error entropy criterion

Published by

Journal of Machine Learning Research

Summary

journal-article