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Ting Hu

Orcid: 0000-0003-3770-6309

Affiliations:
  • Wuhan University, School of Mathematics and Statistics, China (PhD 2009)


According to our database1, Ting Hu authored at least 17 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Pairwise learning problems with regularization networks and Nyström subsampling approach.
[BibTeX]
[DOI]
Cheng Wang
,
Ting Hu
,
Siyang Jiang
Neural Networks, 2023

2022
Early Stopping for Iterative Regularization with General Loss Functions.
[BibTeX]
[DOI]
Ting Hu
,
Yunwen Lei
J. Mach. Learn. Res., 2022

2021
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions.
[BibTeX]
[DOI]
Yunwen Lei
,
Ting Hu
,
Ke Tang
J. Mach. Learn. Res., 2021

Kernel gradient descent algorithm for information theoretic learning.
[BibTeX]
[DOI]
Ting Hu
,
Qiang Wu
,
Ding-Xuan Zhou
J. Approx. Theory, 2021

2020
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.
[BibTeX]
[DOI]
Yunwen Lei
,
Ting Hu
,
Guiying Li
,
Ke Tang
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Minimum Error Entropy Algorithms.
[BibTeX]
[DOI]
Xin Guo
,
Ting Hu
,
Qiang Wu
J. Mach. Learn. Res., 2020

2019
Deep Learning on Point Clouds and Its Application: A Survey.
[BibTeX]
[DOI]
Weiping Liu
,
Jia Sun
,
Wanyi Li
,
Ting Hu
,
Peng Wang
Sensors, 2019

Distributed pairwise algorithms with gradient descent methods.
[BibTeX]
[DOI]
Baobin Wang
,
Ting Hu
Neurocomputing, 2019

Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion.
[BibTeX]
[DOI]
Baobin Wang
,
Ting Hu
Entropy, 2019

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions.
[BibTeX]
[DOI]
Yunwen Lei
,
Ting Hu
,
Ke Tang
CoRR, 2019

2018
Semi-Supervised Minimum Error Entropy Principle with Distributed Method.
[BibTeX]
[DOI]
Baobin Wang
,
Ting Hu
Entropy, 2018

2016
Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression.
[BibTeX]
[DOI]
Ting Hu
,
Qiang Wu
,
Ding-Xuan Zhou
IEEE Trans. Signal Process., 2016

2014
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm.
[BibTeX]
[DOI]
Jun Fan
,
Ting Hu
,
Qiang Wu
,
Ding-Xuan Zhou
CoRR, 2014

2013
Learning theory approach to minimum error entropy criterion.
[BibTeX]
[DOI]
Ting Hu
,
Jun Fan
,
Qiang Wu
,
Ding-Xuan Zhou
J. Mach. Learn. Res., 2013

2012
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.
[BibTeX]
[DOI]
Dao-Hong Xiang
,
Ting Hu
,
Ding-Xuan Zhou
J. Appl. Math., 2012

2011
Learning with varying insensitive loss.
[BibTeX]
[DOI]
Dao-Hong Xiang
,
Ting Hu
,
Ding-Xuan Zhou
Appl. Math. Lett., 2011

2009
Online Learning with Samples Drawn from Non-identical Distributions.
[BibTeX]
[DOI]
Ting Hu
,
Ding-Xuan Zhou
J. Mach. Learn. Res., 2009


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