Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform. - Xinge You; Jianwei Yang; Yuan Yan Tang; Bin Fang 001; Luoqing Li (SINOBIOMETRICS, 2004)

Axial Representation of Character by Using Wavelet Transform. - Xinge You; Bin Fang 001; Yuan Yan Tang; Luoqing Li; Dan Zhang 008 (FSKD (2), 2005)

The Bounds on the Rate of Uniform Convergence for Learning Machine. - Bin Zou 002; Luoqing Li; Jie Xu 006 (ISNN (1), 2005)

Stability of Frames Generated by Nonlinear Fourier atoms. - Qiuhui Chen; Luoqing Li; Tao Qian (Int. J. Wavelets Multiresolution Inf. Process., 2005)

The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. - Bin Zou 002; Jie Xu 006; Luoqing Li (ICNC (1), 2006)

The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. - Bin Zou 002; Luoqing Li (ICPR (2), 2006)

Support Vector Machines with Beta-Mixing Input Sequences. - Luoqing Li; Chenggao Wan (ISNN (1), 2006)

The Generalization Performance of Learning Machine with NA Dependent Sequence. - Bin Zou 002; Luoqing Li; Jie Xu 006 (RSKT, 2006)

Wavelet-Hough Transform with Applications in Edge and Target Detections. - Luoqing Li; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2006)

Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. - Luoqing Li; Bin Zou 002 (ICNC (1), 2007)

The performance bounds of learning machines based on exponentially strongly mixing sequences. - Bin Zou 002; Luoqing Li (Comput. Math. Appl., 2007)

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

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

Analysis of Classification with a Reject Option. - Hong Chen 004; Luoqing Li; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Regularized Least Square Regression with Spherical Polynomial Kernels. - Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2009)

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

Error bounds of multi-graph regularized semi-supervised classification. - Hong Chen 004; Luoqing Li; Jiangtao Peng (Inf. Sci., 2009)

The generalization performance of ERM algorithm with strongly mixing observations. - Bin Zou 002; Luoqing Li; Zongben Xu (Mach. Learn., 2009)

Semisupervised Multicategory Classification With Imperfect Model. - Hong Chen 004; Luoqing Li (IEEE Trans. Neural Networks, 2009)

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

Semi-supervised learning based on high density region estimation. - Hong Chen 004; Luoqing Li; Jiangtao Peng (Neural Networks, 2010)

Single-image super-resolution based on semi-supervised learning. - Yi Tang 003; Yuan Yuan 001; Pingkun Yan; Xuelong Li 001; Xiaoli Pan; Luoqing Li (ACPR, 2011)

Local adaptive dictionary based image denoising. - Yi Tang 003; Yuan Yuan 001; Pingkun Yan; Xuelong Li 001; Hui Zhou; Luoqing Li (ACPR, 2011)

Image denoising via weight regression. - Yi Tang 003; Yuan Yuan 001; Pingkun Yan; Xuelong Li 001; Hui Zhou; Luoqing Li (ACPR, 2011)

Image Denoising via Improved Sparse Coding. - Xiaoqiang Lu; Haoliang Yuan; Pingkun Yan; Luoqing Li; Xuelong Li 001 (BMVC, 2011)

Local learning-based image super-resolution. - Xiaoqiang Lu; Haoliang Yuan; Yuan Yuan 001; Pingkun Yan; Luoqing Li; Xuelong Li 001 (MMSP, 2011)

Local semi-supervised regression for single-image super-resolution. - Yi Tang 003; Xiaoli Pan; Yuan Yuan 001; Pingkun Yan; Luoqing Li; Xuelong Li 001 (MMSP, 2011)

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

Amplitudes of mono-components and representation by generalized sampling functions - Qiuhui Chen; Luoqing Li; Yi Wang (CoRR, 2012)

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

Generalized Paley-Wiener Theorems. - Qiuhui Chen; Luoqing Li; Guangbin Ren (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Least Square Regression with coefficient Regularization by Gradient Descent. - Juan Huang; Hong Chen 004; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 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)

Wave equation relating to the pre-Laguerre system. - Qiuhui Chen; Luoqing Li; Wenjun Yuan (Appl. Math. Lett., 2013)

Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection. - Hong Chen 004; Zhibin Pan; Luoqing Li; Yuan Yan Tang (Neural Comput., 2013)

Convergence rate of the semi-supervised greedy algorithm. - Hong Chen 004; Yicong Zhou; Yuan Yan Tang; Luoqing Li; Zhibin Pan (Neural Networks, 2013)

Error Analysis of Stochastic Gradient Descent Ranking. - Hong Chen 004; Yi Tang 003; Luoqing Li; Yuan Yuan 001; Xuelong Li 001; Yuan Yan Tang (IEEE Trans. Cybern., 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)

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. - Bin Zou 002; Luoqing Li; Zongben Xu; Tao Luo 006; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2013)

Robust weighted coarse-to-fine sparse tracking. - Boxuan Zhong; Zijing Chen; Xinge You; Luoqing Li; Yunliang Xie; Shujian Yu (SPAC, 2014)

Learning performance of coefficient-based regularized ranking. - Hong Chen 004; Zhibin Pan; Luoqing Li (Neurocomputing, 2014)

Statistical analysis of the moving least-squares method with unbounded sampling. - Fangchao He; Hong Chen 004; Luoqing Li (Inf. Sci., 2014)

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

Extreme learning machine for ranking: Generalization analysis and applications. - Hong Chen 004; Jiangtao Peng; Yicong Zhou; Luoqing Li; Zhibin Pan (Neural Networks, 2014)

Generalization performance of Gaussian kernels SVMC based on Markov sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (Neural Networks, 2014)

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

Amplitudes of mono-component signals and the generalized sampling functions. - Qiuhui Chen; Luoqing Li; Yi Wang (Signal Process., 2014)

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

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. - Bin Zou 002; Yuan Yan Tang; Zongben Xu; Luoqing Li; Jie Xu 006; Yang Lu 009 (IEEE Trans. Cybern., 2014)

Manifold-Based Sparse Representation for Hyperspectral Image Classification. - Yuan Yan Tang; Haoliang Yuan; Luoqing Li (IEEE Trans. Geosci. Remote. Sens., 2014)

The graph based semi-supervised algorithm with ℓ1-regularizer. - Ling Zuo; Luoqing Li; Chen Chen (Neurocomputing, 2015)

Uncertainty principle for multivector-valued functions. - Yingxiong Fu; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 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)

Structural Atomic Representation for Classification. - Yuan Yan Tang; Yulong Wang 002; Luoqing Li; C. L. Philip Chen (IEEE Trans. Cybern., 2015)

The Generalization Ability of SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009; Baochang Zhang 001 (IEEE Trans. Cybern., 2015)

Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li (IEEE Trans. Image Process., 2015)

The Generalization Ability of Online SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li (IEEE Trans. Signal Process., 2015)

Information-theoretic atomic representation for robust pattern classification. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li; Patrick Shen-Pei Wang (ICPR, 2016)

1D embedding multi-category classification methods. - Luoqing Li; Chuanwu Yang; Qiwei Xie (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Face recognition via collaborative representation based multiple one-dimensional embedding. - Yi Wang 074; Yuan Yan Tang; Luoqing Li; Jianzhong Wang (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Regularized set-to-set distance metric learning for hyperspectral image classification. - Jiangtao Peng; Lefei Zhang; Luoqing Li (Pattern Recognit. Lett., 2016)

Modal Regression based Atomic Representation for Robust Face Recognition. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li; Hong Chen 004 (CoRR, 2017)

Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Approximation by Riesz means on the rotation group SO(3). - Zhuyuan Yang; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Ideal Regularized Composite Kernel for Hyperspectral Image Classification. - Jiangtao Peng; Hong Chen 004; Yicong Zhou; Luoqing Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li (IEEE Trans. Cybern., 2017)

Cauchy Matching Pursuit for Robust Sparse Representation and Classification. - Yulong Wang 002; Cuiming Zou; Yuan Yan Tang; Luoqing Li (ICPR, 2018)

Erratum: "Approximation by Riesz Means on the Rotation Group SO(3)". - Zhuyuan Yang; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Learning With Coefficient-Based Regularized Regression on Markov Resampling. - Luoqing Li; Weifu Li; Bin Zou 002; Yulong Wang 002; Yuan Yan Tang; Hua Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Filter banks from the Hadamard product of the Fibonacci sequence and a geometric sequence. - Fuxian Chen; Qiuhui Chen; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Atomic Representation-Based Classification: Theory, Algorithm, and Applications. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li; Hong Chen 004; Jianjia Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Block sparse representation for pattern classification: Theory, extensions and applications. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li; Xianwei Zheng (Pattern Recognit., 2019)

Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification. - Sixiu Hu; Jiangtao Peng; Yingxiong Fu; Luoqing Li (Remote. Sens., 2019)

Cauchy greedy algorithm for robust sparse recovery and multiclass classification. - Yulong Wang 002; Cuiming Zou; Yuan Yan Tang; Luoqing Li; Zhaowei Shang (Signal Process., 2019)

Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images. - Jiangtao Peng; Luoqing Li; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2019)

Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification. - Yulong Wang 002; Yuan Yan Tang; Cuiming Zou; Luoqing Li; Hong Chen 004 (Neurocomputing, 2020)

Amplitude spaces of mono-components from Blaschke products and an intrinsic multiresolution analysis. - Qiuhui Chen; Luoqing Li; Weibin Wu 001 (Int. J. Wavelets Multiresolution Inf. Process., 2020)

Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction. - Yulong Wang 002; Yuan Yan Tang; Luoqing Li; Hong Chen 004 (IEEE Trans. Cybern., 2020)

Generalized and Discriminative Collaborative Representation for Multiclass Classification. - Yulong Wang 002; Yap-Peng Tan; Yuan Yan Tang; Hong Chen 004; Cuiming Zou; Luoqing Li (IEEE Trans. Cybern., 2022)

Simultaneous Robust Matching Pursuit for Multi-view Learning. - Yulong Wang 002; Kit Ian Kou; Hong Chen 004; Yuan Yan Tang; Luoqing Li (Pattern Recognit., 2023)

Double Auto-Weighted Tensor Robust Principal Component Analysis. - Yulong Wang 002; Kit Ian Kou; Hong Chen 004; Yuan Yan Tang; Luoqing Li (IEEE Trans. Image Process., 2023)