Researcher profile · Semantic Scholar

Ting Hu

h-index: 14
Works: 36
Citations: 694

Most-cited papers

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
2019IEEE Transactions on Neural Networks and Learning Systems147 citations Open access
Semantic Scholar
Learning theory approach to minimum error entropy criterion
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou
2012Journal of machine learning research89 citations
Semantic Scholar
Regularization schemes for minimum error entropy principle
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou
201577 citations
Semantic Scholar
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
Jun Fan, Ting Hu, Qiang Wu, Ding-Xuan Zhou
2014arXiv.org59 citations Open access
Semantic Scholar
Distributed kernel gradient descent algorithm for minimum error entropy principle
Ting Hu, Qiang Wu, Ding-Xuan Zhou
2020Applied and Computational Harmonic Analysis45 citations Open access
Semantic Scholar
Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression
Ting Hu, Qiang Wu, Ding-Xuan Zhou
2016IEEE Transactions on Signal Processing29 citations
Semantic Scholar
Gradient descent for robust kernel-based regression
Zheng-Chu Guo, Ting Hu, Lei Shi
201827 citations Open access
Semantic Scholar
Molecular recognition and adsorption performance of benzothiophene imprinted polymer on silica gel surface
Ting Hu, Yan-Ming Zhang, Li-Hui Zheng, G. Fan
201026 citations
Semantic Scholar
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2012Journal of Applied Mathematics24 citations Open access
Semantic Scholar
Online Learning with Samples Drawn from Non-identical Distributions
Ting Hu, Ding-Xuan Zhou
2009Journal of machine learning research24 citations
Semantic Scholar
ONLINE REGRESSION WITH VARYING GAUSSIANS AND NON-IDENTICAL DISTRIBUTIONS
Ting Hu
201120 citations
Semantic Scholar
Online learning for quantile regression and support vector regression
Ting Hu, Dao-Hong Xiang, Ding-Xuan Zhou
201219 citations
Semantic Scholar
Robust Registration by Rank Minimization for Multiangle Hyper/Multispectral Remotely Sensed Imagery
Ting Hu, Hong-Yan Zhang, Huan-Feng Shen, Liang-Pei Zhang
2014IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing18 citations
Semantic Scholar
Early Stopping for Iterative Regularization with General Loss Functions
Ting Hu, Yunwen Lei
2022Journal of machine learning research14 citations
Semantic Scholar
Learning with varying insensitive loss
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2011Applied Mathematics Letters14 citations Open access
Semantic Scholar
Online minimum error entropy algorithm with unbounded sampling
Cheng Wang, Ting Hu
2019Analysis and Applications12 citations
Semantic Scholar
Kernel gradient descent algorithm for information theoretic learning
Ting Hu, Qiang Wu, Ding-Xuan Zhou
2021Journal of Approximation Theory7 citations Open access
Semantic Scholar
Distributed regularized least squares with flexible Gaussian kernels
Ting Hu, Ding-Xuan Zhou
2021Applied and Computational Harmonic Analysis6 citations Open access
Semantic Scholar
Kernel-based maximum correntropy criterion with gradient descent method
Ting Hu
2020Communications on Pure and Applied Analysis6 citations Open access
Semantic Scholar
Distributed spectral pairwise ranking algorithms
Zheng-Chu Guo, Ting Hu, Lei Shi
2022Inverse Problems5 citations
Semantic Scholar
Pairwise learning problems with regularization networks and Nyström subsampling approach
Cheng Wang, Ting Hu, Siyang Jiang
2022Neural Networks5 citations Open access
Semantic Scholar
Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
Bao-Bin Wang, Ting Hu
2019Entropy5 citations Open access
Semantic Scholar
Maximum Correntropy Criterion with Distributed Method
Fang Xie, Ting Hu, Shixuan Wang, Bao-Bin Wang
2022Mathematics4 citations Open access
Semantic Scholar
Distributed pairwise algorithms with gradient descent methods
Bao-Bin Wang, Ting Hu
2019Neurocomputing4 citations
Semantic Scholar
Unregularized Online Algorithms with Varying Gaussians
Bao-Bin Wang, Ting Hu
2021Constructive approximation2 citations
Semantic Scholar
Convergence analysis of distributed multi-penalty regularized pairwise learning
Ting Hu, Jun Fan, Dao-Hong Xiang
20192 citations
Semantic Scholar
Online regularized pairwise learning with least squares loss
Cheng Wang, Ting Hu
20192 citations
Semantic Scholar
Semi-Supervised Minimum Error Entropy Principle with Distributed Method
Bao-Bin Wang, Ting Hu
2018Entropy2 citations Open access
Semantic Scholar
Online Classification with Varying Gaussians
Ting Hu, Ding-Xuan Zhou
20102 citations
Semantic Scholar
Learning rates of regression with q-norm loss and threshold
Ting Hu, Yuan Yao
20161 citations Open access
Semantic Scholar
COMPASS-Hedge: Learning Safely Without Knowing the World
Ting Hu, Luan Cai, Manolis Vlatakis
2026arXiv.org0 citations
Semantic Scholar
Learning Safely Without Knowing the World:COMPASS-Hedge
Ting Hu, Luan Cai, Emmanouil-Vasileios Vlatakis-Gkaragkounis
20260 citations
Semantic Scholar
Quantile Regression with Gaussian Kernels
Bao-Bin Wang, Ting Hu, Hong Yin
20200 citations
Semantic Scholar
Thermodynamic Analysis of Diphenyl Carbonate Synthesis from Phenol and Carbon Dioxide
Ting Hu
20120 citations
Semantic Scholar
A new proof of fractional Hu-Meyer formula and its applications
Bao-Bin Wang, Ting Hu
20120 citations Open access
Semantic Scholar
Preparation of adsorbent ZnO/TiO_2/γ-Al_2O_3 for heavy FCC gasoline desulfurization
Ting Hu
20100 citations
Semantic Scholar

Cheng Wang

×3

Yunwen Lei×2

Jun Fan×2

Zheng-Chu Guo×2

Luan Cai×2

Guiying Li×1

Ke Tang×1