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Jun FAN, Prof
Associate Professor
,
Department of Mathematics
https://orcid.org/0000-0001-8451-3484
Email
junfan
hkbu.edu
hk
2013
2025
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(7)
Research Output
(32)
Activities
(5)
Similar Scholars
(3)
Supervised Work
(3)
Fingerprint
Dive into the research topics where Jun FAN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Keyphrases
Reproducing Kernel Hilbert Space
87%
Functional Linear Regression
66%
Learning Algorithm
49%
Functional Data
48%
Learning Rate
47%
Reproducing Kernel
46%
Minimum Error Entropy
44%
Electronic Health Records
44%
Breast Cancer Risk Assessment
43%
Scale Parameter
43%
Error Analysis
43%
Data Learning
40%
Regression Function
40%
Regularization Scheme
38%
Integral Operator
38%
Rectified Linear Unit (ReLU)
37%
Kernel-based
37%
Functional Data Analysis
37%
Optimal Convergence Rate
35%
Breast Cancer Risk
33%
Functional Predictor
33%
Large Margin
33%
Convergence Analysis
33%
Genetic Variants
33%
Gradient Method
33%
Deep Convolutional Neural Network (deep CNN)
33%
Functional Linear Regression Model
33%
Covariance Function
33%
Convergence Rate
31%
Infinite Dimension
31%
Theoretical Properties
29%
Learning Theory
29%
Convolutional Neural Network
29%
Performance Prediction
28%
Empirical Risk Minimization
27%
Breast Cancer
27%
Entropy Algorithm
26%
Information Theoretic Learning
26%
Generalization Analysis
25%
Loss Function
22%
Ranking Algorithm
22%
Minimax Optimal Rate
22%
Deep Learning Theory
20%
Parzen Windowing
20%
Predictive Ability
20%
Explicit Learning
20%
Mammography
20%
Robust Regression
20%
Consistency Analysis
20%
Gaussian Kernel
20%
Mathematics
Functional Data
100%
Hilbert Space
97%
Linear Regression Analysis
66%
Regression Function
58%
Least Square
52%
Regularization
45%
Loss Function
44%
Empirical Risk Minimization
44%
Approximates
41%
Convergence Rate
40%
Integral Operator
38%
Minimax
36%
Convolutional Neural Network
33%
Error Analysis
30%
Predictive Performance
27%
Neural Network
27%
Eigenvalue
26%
Explicit Learning
25%
Continuous Functionals
25%
Deep Neural Network
25%
Linear Regression Model
25%
Covariance Function
25%
Gaussian Distribution
22%
Support Vector Machine
22%
Dimensional Data
20%
Scale Parameter
20%
Approximation Error
20%
Precision Medicine
19%
Asymptotic Variance
16%
Statistical Method
16%
Comparison Theorem
16%
Moment Condition
16%
Minimization Problem
16%
Probability Theory
16%
Pointwise
16%
Binary Classification
16%
Stopping Rule
16%
Robust Estimation
16%
Prediction Error
16%
Numerical Analysis
16%
Treatment Effect
16%
Response Variable
16%
Logistic Regression
16%
Functionals
16%
Bayes' Rule
16%
Convergence Analysis
16%
Covariance
16%
Piecewise Linear
16%
Integer
16%
Quantile Regression
16%
Computer Science
Reproducing Kernel
69%
Hilbert Space
60%
Learning Algorithm
52%
Regularization
50%
Learning Rate
38%
Precision Medicine
34%
Deep Convolutional Neural Networks
33%
Mathematical Convergence
33%
Convergence Rate
30%
Least Squares Method
29%
Convolutional Neural Network
29%
Information-Theoretic Learning
26%
Eigenvalue
25%
Regression Function
22%
Gradient Descent
20%
Data Repository
19%
Target Function
16%
Logistic Regression
16%
Pfam Database
16%
Biology Research
16%
De Facto Standard
16%
Programming Error
16%
Sparsity
16%
Dependence Structure
16%
Linear Relationship
16%
Feature Selection
16%
Gaussian Kernel
16%
Support Vector Machine
16%
Amino Acid Sequence
16%
Selection Process
16%
Machine Learning
16%
Eigenvector
16%
Ranking Algorithm
16%
Feature Extraction
16%
Learning System
16%
Functional Data
15%
Approximation (Algorithm)
13%
Deep Learning Method
12%
Predictive Performance
11%
Single Machine
10%
Big Data
10%
Learning Scheme
10%
Generalization Error
9%
Data Record
9%
Clinical Outcome
9%
Deep Learning Model
8%
Filter Function
8%
Distributed Learning
8%
Logistic Regression Model
8%
Output Function
8%
