Hong Li

Orcid: 0000-0001-5597-5479

Affiliations:
  • Huazhong University of Science and Technology, School of Mathematics and Statistics, Wuhan, China (PhD 1999)


According to our database1, Hong Li authored at least 61 papers between 2006 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification.
IEEE Trans. Image Process., 2024

2023
A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Image Compression Using Stochastic-AFD Based Multisignal Sparse Representation.
IEEE Trans. Image Process., 2022

Two-Branch Deconvolutional Network With Application in Stereo Matching.
IEEE Trans. Image Process., 2022

Deep Manifold Structure-Preserving Spectral-Spatial Feature Extraction of Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2022

A Probability Metric-Based Autoencoder for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

JMnet: Joint Metric Neural Network for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation.
IEEE Trans. Geosci. Remote. Sens., 2021

Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising.
IEEE Trans. Cybern., 2021

Learning a Deep Similarity Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Modified Huber Nonnegative Matrix Factorization Algorithm for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

An unsupervised stereo matching cost based on sparse representation.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Two-Branch Convolutional Sparse Representation for Stereo Matching.
IEEE Access, 2021

2020
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

2019
Quaternion-Based Multiscale Analysis for Feature Extraction of Hyperspectral Images.
IEEE Trans. Signal Process., 2019

Neural-Response-Based Extreme Learning Machine for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Hybrid Truncated Norm Regularization Method for Matrix Completion.
IEEE Trans. Image Process., 2019

A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
Building feedforward neural networks with random weights for large scale datasets.
Expert Syst. Appl., 2018

2017
Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation.
IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion.
IEEE Trans. Geosci. Remote. Sens., 2017

Spectral-Spatial Response for Hyperspectral Image Classification.
Remote. Sens., 2017

Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Reweighted Sparse Regression for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2016

Multiscale patch-based contrast measure for small infrared target detection.
Pattern Recognit., 2016

A novel semi-supervised learning framework for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2016

Multiple one-dimensional embedding clustering scheme for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process., 2016

Greedy adaptive decomposition of signals based on nonlinear Fourier atoms.
Int. J. Wavelets Multiresolution Inf. Process., 2016

Local one-dimensional embedding interpolation for hyperspectral image classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
Reliability Modeling and Life Estimation Using an Expectation Maximization Based Wiener Degradation Model for Momentum Wheels.
IEEE Trans. Cybern., 2015

Hyperspectral Image Classification Using Spectral-Spatial Composite Kernels Discriminant Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Comments and Correction on "<i>U</i>-Processes and Preference Learning" (<i>Neural Computation</i> Vol. 26, pp. 2896-2924, 2014).
Neural Comput., 2015

Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2014

A Local Contrast Method for Small Infrared Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2014

Hyperspectral Image Classification Using Functional Data Analysis.
IEEE Trans. Cybern., 2014

Hierarchical kernel-based rotation and scale invariant similarity.
Pattern Recognit., 2014

<i>U</i>-Processes and Preference Learning.
Neural Comput., 2014

Improved combination of RPCA and MEL for sparse representation-based face recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2014

Sparse-based neural response for image classification.
Neurocomputing, 2014

2013
Hierarchical Feature Extraction With Local Neural Response for Image Recognition.
IEEE Trans. Cybern., 2013

Hierarchical Sparse Method with Applications in Vision and speech Recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2013

2012
Error Analysis for Matrix Elastic-Net Regularization Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2012

Elastic-Net Regularization for Low-Rank Matrix Recovery.
Int. J. Wavelets Multiresolution Inf. Process., 2012

Similarity learning for object recognition based on derived kernel.
Neurocomputing, 2012

Object categorization based on hierarchical learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
A Novel Signal Decomposition Approach - Adaptive Fourier Decomposition.
Adv. Data Sci. Adapt. Anal., 2011

Instantaneous frequencies of simple waves and their application to sleep spindle detection.
Proceedings of the IEEE International Conference on Systems, 2011

2010
Local Learning Estimates by Integral Operators.
Int. J. Wavelets Multiresolution Inf. Process., 2010

Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2010

Discrete-time analytic signals and Bedrosian product theorems.
Digit. Signal Process., 2010

Offline Arabic Handwriting Identification Using Language Diacritics.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Tensor Locality Sensitive Discriminant Analysis and its Complexity.
Int. J. Wavelets Multiresolution Inf. Process., 2009

2008
Dim target detection and tracking based on empirical mode decomposition.
Signal Process. Image Commun., 2008

Mono-Components vs Imfs in Signal Decomposition.
Int. J. Wavelets Multiresolution Inf. Process., 2008

2007
Mono-Component Decomposition of Signals Based on Blaschke Basis.
Int. J. Wavelets Multiresolution Inf. Process., 2007

2006
Wavelet-Based Weighted Average and Human Vision System Image Fusion.
Int. J. Wavelets Multiresolution Inf. Process., 2006


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