Wavelet-Based Weighted Average and Human Vision System Image Fusion. - Hong Li 009 (Int. J. Wavelets Multiresolution Inf. Process., 2006)

Mono-Component Decomposition of Signals Based on Blaschke Basis. - Hong Li 009; Luoqing Li; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2007)

Mono-Components vs Imfs in Signal Decomposition. - Tao Qian 001; Liming Zhang 002; Hong Li 009 (Int. J. Wavelets Multiresolution Inf. Process., 2008)

Dim target detection and tracking based on empirical mode decomposition. - Hong Li 009; Shaohua Xu; Luoqing Li (Signal Process. Image Commun., 2008)

Tensor Locality Sensitive Discriminant Analysis and its Complexity. - Yantao Wei; Hong Li 009; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Offline Arabic Handwriting Identification Using Language Diacritics. - Mohammed Lutf; Xinge You; Hong Li 009 (ICPR, 2010)

Discrete-time analytic signals and Bedrosian product theorems. - Hong Li 009; Luoqing Li; Tao Qian 001 (Digit. Signal Process., 2010)

Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition. - Limin Cui; Yantao Wei; Yuan Yan Tang; Hong Li 009 (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Local Learning Estimates by Integral Operators. - Hong Li 009; Na Chen; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Instantaneous frequencies of simple waves and their application to sleep spindle detection. - Liming Zhang 002; Hong Li 009; Yantao Wei; Tao Qian 001 (SMC, 2011)

A Novel Signal Decomposition Approach - Adaptive Fourier Decomposition. - Liming Zhang 002; Hong Li 009 (Adv. Data Sci. Adapt. Anal., 2011)

Object categorization based on hierarchical learning. - Tian Xia; Yuan Yan Tang; Yantao Wei; Hong Li 009; Luoqing Li (ICPR, 2012)

Similarity learning for object recognition based on derived kernel. - Hong Li 009; Yantao Wei; Luoqing Li; Yuan Yuan 001 (Neurocomputing, 2012)

Elastic-Net Regularization for Low-Rank Matrix Recovery. - Hong Li 009; Na Chen; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Error Analysis for Matrix Elastic-Net Regularization Algorithms. - Hong Li 009; Na Chen; Luoqing Li (IEEE Trans. Neural Networks Learn. Syst., 2012)

Hierarchical Sparse Method with Applications in Vision and speech Recognition. - Ramadhan Abdo Musleh Alsaidi; Hong Li 009; Yantao Wei; Rokan Khaji; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Hierarchical Feature Extraction With Local Neural Response for Image Recognition. - Hong Li 009; Yantao Wei; Luoqing Li; C. L. Philip Chen (IEEE Trans. Cybern., 2013)

Sparse-based neural response for image classification. - Hong Li 009; Hongfeng Li; Yantao Wei; Yuan Yan Tang; Qiong Wang (Neurocomputing, 2014)

Improved combination of RPCA and MEL for sparse representation-based face recognition. - Rokan Khaji; Hong Li 009; Hongfeng Li; Rabiu Haruna; Ramadhan Abdo Musleh Alsaidi (Int. J. Wavelets Multiresolution Inf. Process., 2014)

U-Processes and Preference Learning. - Hong Li 009; Chuanbao Ren; Luoqing Li (Neural Comput., 2014)

Hierarchical kernel-based rotation and scale invariant similarity. - Yuan Yan Tang; Tian Xia; Yantao Wei; Hong Li 009; Luoqing Li (Pattern Recognit., 2014)

Hyperspectral Image Classification Using Functional Data Analysis. - Hong Li 009; Guangrun Xiao; Tian Xia; Yuan Yan Tang; Luoqing Li (IEEE Trans. Cybern., 2014)

A Local Contrast Method for Small Infrared Target Detection. - C. L. Philip Chen; Hong Li 009; Yantao Wei; Tian Xia; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2014)

Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine. - Hong Li 009; Donghui Pan; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric. - Huiwu Luo; Yuan Yan Tang; Yulong Wang 002; Chunli Li; Jianzhong Wang; Tingbo Hu; Hong Li 009 (CYBCONF, 2015)

Comments and Correction on "U-Processes and Preference Learning" (Neural Computation Vol. 26, pp. 2896-2924, 2014). - Wojciech Rejchel; Hong Li 009; Chuanbao Ren; Luoqing Li (Neural Comput., 2015)

Hyperspectral Image Classification Using Spectral-Spatial Composite Kernels Discriminant Analysis. - Hong Li 009; Zhijing Ye 001; Guangrun Xiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Reliability Modeling and Life Estimation Using an Expectation Maximization Based Wiener Degradation Model for Momentum Wheels. - Hong Li 009; Donghui Pan; C. L. Philip Chen (IEEE Trans. Cybern., 2015)

Local one-dimensional embedding interpolation for hyperspectral image classification. - Yalong Song; Hong Li 009; Huizhen Li; Yantao Wei (SMC, 2016)

Greedy adaptive decomposition of signals based on nonlinear Fourier atoms. - Kit Ian Kou; Hong Li 009 (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Multiple one-dimensional embedding clustering scheme for hyperspectral image classification. - Yalong Song; Hong Li 009; Jianzhong Wang; Kit Ian Kou (Int. J. Wavelets Multiresolution Inf. Process., 2016)

A novel semi-supervised learning framework for hyperspectral image classification. - Zhijing Ye 001; Hong Li 009; Yalong Song; Jianzhong Wang; Jón Atli Benediktsson (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Multiscale patch-based contrast measure for small infrared target detection. - Yantao Wei; Xinge You; Hong Li 009 (Pattern Recognit., 2016)

Reweighted Sparse Regression for Hyperspectral Unmixing. - Cheng Yong Zheng; Hong Li 009; Qiong Wang; C. L. Philip Chen (IEEE Trans. Geosci. Remote. Sens., 2016)

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. - Qiong Wang; Junbin Gao; Hong Li 009 (CVPR, 2017)

Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification. - Huiwu Luo; Yuan Yan Tang; Xu Yang; Lina Yang; Hong Li 009 (CYBCONF, 2017)

Spectral-Spatial Response for Hyperspectral Image Classification. - Yantao Wei; Yicong Zhou; Hong Li 009 (Remote. Sens., 2017)

Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion. - Hong Li 009; Yalong Song; C. L. Philip Chen (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation. - Zhijing Ye 001; Hong Li 009; Yalong Song; Jón Atli Benediktsson; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Building feedforward neural networks with random weights for large scale datasets. - Hailiang Ye; Feilong Cao; Dianhui Wang 001; Hong Li 009 (Expert Syst. Appl., 2018)

A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. - Hailiang Ye; Hong Li 009; Bing Yang; Feilong Cao; Yuanyan Tang (IEEE Trans. Geosci. Remote. Sens., 2019)

A Hybrid Truncated Norm Regularization Method for Matrix Completion. - Hailiang Ye; Hong Li 009; Feilong Cao; Liming Zhang 002 (IEEE Trans. Image Process., 2019)

Neural-Response-Based Extreme Learning Machine for Image Classification. - Hongfeng Li; Hongkai Zhao; Hong Li 009 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Quaternion-Based Multiscale Analysis for Feature Extraction of Hyperspectral Images. - Huizhen Li; Hong Li 009; Liming Zhang 002 (IEEE Trans. Signal Process., 2019)

Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification. - Zhijing Ye 001; Jiaqing Chen; Hong Li 009; Yantao Wei; Guangrun Xiao; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2020)

Two-Branch Convolutional Sparse Representation for Stereo Matching. - Chunbo Cheng; Hong Li 009; Liming Zhang 002 (IEEE Access, 2021)

An unsupervised stereo matching cost based on sparse representation. - Chunbo Cheng; Hong Li 009; Liming Zhang 002 (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network. - Chunbo Cheng; Hong Li 009; Jiangtao Peng; Wenjing Cui; Liming Zhang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Modified Huber Nonnegative Matrix Factorization Algorithm for Hyperspectral Unmixing. - Ziyang Guo; Anyou Min; Bing Yang; Junhong Chen; Hong Li 009 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Learning a Deep Similarity Network for Hyperspectral Image Classification. - Bing Yang; Hong Li 009; Ziyang Guo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising. - Hailiang Ye; Hong Li 009; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation. - Zhijing Ye 001; Tao Qian 001; Liming Zhang 002; Lei Dai; Hong Li 009; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification. - Chunbo Cheng; Hong Li 009; Jiangtao Peng; Wenjing Cui; Liming Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Ziyang Guo; Anyou Min; Bing Yang; Junhong Chen; Hong Li 009; Junbin Gao (IEEE Trans. Geosci. Remote. Sens., 2022)

JMnet: Joint Metric Neural Network for Hyperspectral Unmixing. - Anyou Min; Ziyang Guo; Hong Li 009; Jiangtao Peng (IEEE Trans. Geosci. Remote. Sens., 2022)

A Probability Metric-Based Autoencoder for Hyperspectral Unmixing. - Anyou Min; Hong Li 009 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Manifold Structure-Preserving Spectral-Spatial Feature Extraction of Hyperspectral Image. - Bing Yang; Hong Li 009; Ziyang Guo (IEEE Trans. Geosci. Remote. Sens., 2022)

Two-Branch Deconvolutional Network With Application in Stereo Matching. - Chunbo Cheng; Hong Li 009; Liming Zhang 002 (IEEE Trans. Image Process., 2022)

Image Compression Using Stochastic-AFD Based Multisignal Sparse Representation. - Lei Dai; Liming Zhang 002; Hong Li 009 (IEEE Trans. Image Process., 2022)

A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. - Chunbo Cheng; Liming Zhang 002; Hong Li 009; Wenjing Cui (IEEE Trans. Geosci. Remote. Sens., 2023)

Boosting sharpness-aware training with dynamic neighborhood. - Junhong Chen; Hong Li 009; C. L. Philip Chen (Pattern Recognit., 2024)

A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. - Chunbo Cheng; Liming Zhang 002; Hong Li 009; Wenjing Cui; Junbin Gao; Yuxiao Cun (IEEE Trans. Geosci. Remote. Sens., 2024)

A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. - Chunbo Cheng; Liming Zhang 002; Hong Li 009; Lei Dai; Wenjing Cui (IEEE Trans. Image Process., 2024)

Regularizing Scale-Adaptive Central Moment Sharpness for Neural Networks. - Junhong Chen; Ziyang Guo; Hong Li 009; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)