Hong Chen
Hong Chen
Department of Mathematics and Statistics, Huazhong Agricultural University
Verified email at uta.edu
Cited by
Cited by
Extreme learning machine for ranking: Generalization analysis and applications
H Chen, J Peng, Y Zhou, L Li, Z Pan
Neural Networks 53, 119-126, 2014
Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization
Z Pan, X You, H Chen, D Tao, B Pang
Information Sciences 221, 284-296, 2013
The convergence rate of a regularized ranking algorithm
H Chen
Journal of Approximation Theory 164 (12), 1513-1519, 2012
Error bounds of multi-graph regularized semi-supervised classification
H Chen, L Li, J Peng
Information Sciences 179 (12), 1960-1969, 2009
Ideal regularized composite kernel for hyperspectral image classification
J Peng, H Chen, Y Zhou, L Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Detecting network communities using regularized spectral clustering algorithm
L Huang, R Li, H Chen, X Gu, K Wen, Y Li
Artificial Intelligence Review 41 (4), 579-594, 2014
Error analysis of stochastic gradient descent ranking
H Chen, Y Tang, L Li, Y Yuan, X Li, Y Tang
IEEE transactions on cybernetics 43 (3), 898-909, 2013
Regularized modal regression with applications in cognitive impairment prediction
X Wang, H Chen, W Cai, D Shen, H Huang
Advances in neural information processing systems 30, 1448-1458, 2017
Example-based super-resolution via social images
Y Tang, H Chen, Z Liu, B Song, Q Wang
Neurocomputing 172, 38-47, 2016
Semisupervised multicategory classification with imperfect model
H Chen, L Li
IEEE transactions on neural networks 20 (10), 1594-1603, 2009
Hyperspectral image classification using FPCA-based kernel extreme learning machine
Y Wei, G Xiao, H Deng, H Chen, M Tong, G Zhao, Q Liu
Optik 126 (23), 3942-3948, 2015
Kernel-based sparse regression with the correntropy-induced loss
H Chen, Y Wang
Applied and Computational Harmonic Analysis 44 (1), 144-164, 2018
Convergence rate of the semi-supervised greedy algorithm
H Chen, Y Zhou, YY Tang, L Li, Z Pan
Neural Networks 44, 44-50, 2013
Analysis of classification with a reject option
H Chen, L Li, Y Tang
International Journal of Wavelets, Multiresolution and Information …, 2009
Group sparse additive machine
H Chen, X Wang, C Deng, H Huang
Proceedings of the 31st International Conference on Neural Information …, 2017
Radiosity for furry surfaces
H Chen, EH Wu
Eurographics Association, 1991
Inhibition of adipogenic differentiation by myostatin is alleviated by arginine supplementation in porcine-muscle-derived mesenchymal stem cells
HL Lei, B Yu, XR Yang, ZH Liu, ZQ Huang, XB Mao, G Tian, J He, GQ Han, ...
Science China Life Sciences 54 (10), 908-916, 2011
Atomic representation-based classification: theory, algorithm, and applications
Y Wang, YY Tang, L Li, H Chen, J Pan
IEEE transactions on pattern analysis and machine intelligence 41 (1), 6-19, 2017
Matrix-value regression for single-image super-resolution
Y Tang, H Chen
2013 International Conference on Wavelet Analysis and Pattern Recognition …, 2013
Error analysis of coefficient-based regularized algorithm for density-level detection
H Chen, Z Pan, L Li, Y Tang
Neural computation 25 (4), 1107-1121, 2013
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