Luoqing Li

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 24

Top Topics

Face Recognition

Sparse Representation

Top Venues

IEEE Trans. Cybern.

Int. J. Wavelets Multiresolution Inf. Process.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
Simultaneous Robust Matching Pursuit for Multi-view Learning. Pattern Recognit. 134 (2023)
Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
Double Auto-Weighted Tensor Robust Principal Component Analysis. IEEE Trans. Image Process. 32 (2023)
Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, Hong Chen, Cuiming Zou, Luoqing Li
Generalized and Discriminative Collaborative Representation for Multiclass Classification. IEEE Trans. Cybern. 52 (5) (2022)
Qiuhui Chen, Luoqing Li, Weibin Wu
Amplitude spaces of mono-components from Blaschke products and an intrinsic multiresolution analysis. Int. J. Wavelets Multiresolution Inf. Process. 18 (6) (2020)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction. IEEE Trans. Cybern. 50 (10) (2020)
Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li, Hong Chen
Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification. Neurocomputing 372 (2020)
Fuxian Chen, Qiuhui Chen, Luoqing Li
Filter banks from the Hadamard product of the Fibonacci sequence and a geometric sequence. Int. J. Wavelets Multiresolution Inf. Process. 17 (4) (2019)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Xianwei Zheng
Block sparse representation for pattern classification: Theory, extensions and applications. Pattern Recognit. 88 (2019)
Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li, Zhaowei Shang
Cauchy greedy algorithm for robust sparse recovery and multiclass classification. Signal Process. 164 (2019)
Jiangtao Peng, Luoqing Li, Yuan Yan Tang
Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Sixiu Hu, Jiangtao Peng, Yingxiong Fu, Luoqing Li
Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification. Remote. Sens. 11 (9) (2019)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, Jianjia Pan
Atomic Representation-Based Classification: Theory, Algorithm, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 41 (1) (2019)
Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li
Cauchy Matching Pursuit for Robust Sparse Representation and Classification. ICPR (2018)
Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han
Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Zhuyuan Yang, Luoqing Li
Erratum: "Approximation by Riesz Means on the Rotation Group SO(3)". Int. J. Wavelets Multiresolution Inf. Process. 16 (1) (2018)
Yulong Wang, Yuan Yan Tang, Luoqing Li
Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition. IEEE Trans. Cybern. 47 (6) (2017)
Jiangtao Peng, Hong Chen, Yicong Zhou, Luoqing Li
Ideal Regularized Composite Kernel for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (4) (2017)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
Modal Regression based Atomic Representation for Robust Face Recognition. CoRR (2017)
Zhuyuan Yang, Luoqing Li
Approximation by Riesz means on the rotation group SO(3). Int. J. Wavelets Multiresolution Inf. Process. 15 (4) (2017)
Yulong Wang, Yuan Yan Tang, Luoqing Li
Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields. Int. J. Wavelets Multiresolution Inf. Process. 15 (6) (2017)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Patrick Shen-Pei Wang
Information-theoretic atomic representation for robust pattern classification. ICPR (2016)
Yi Wang, Yuan Yan Tang, Luoqing Li, Jianzhong Wang
Face recognition via collaborative representation based multiple one-dimensional embedding. Int. J. Wavelets Multiresolution Inf. Process. 14 (2) (2016)
Jiangtao Peng, Lefei Zhang, Luoqing Li
Regularized set-to-set distance metric learning for hyperspectral image classification. Pattern Recognit. Lett. 83 (2016)
Luoqing Li, Chuanwu Yang, Qiwei Xie
1D embedding multi-category classification methods. Int. J. Wavelets Multiresolution Inf. Process. 14 (2) (2016)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45 (6) (2015)
Wojciech Rejchel, Hong Li, Chuanbao Ren, Luoqing Li
Vol. 26, pp. 2896-2924, 2014). Neural Comput. 27 (7) (2015)
Yulong Wang, Yuan Yan Tang, Luoqing Li
Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation. IEEE Trans. Image Process. 24 (12) (2015)
Yingxiong Fu, Luoqing Li
Uncertainty principle for multivector-valued functions. Int. J. Wavelets Multiresolution Inf. Process. 13 (1) (2015)
Ling Zuo, Luoqing Li, Chen Chen
-regularizer. Neurocomputing 149 (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Yuan Yan Tang, Yulong Wang, Luoqing Li, C. L. Philip Chen
Structural Atomic Representation for Classification. IEEE Trans. Cybern. 45 (12) (2015)
Yulong Wang, Yuan Yan Tang, Luoqing Li
Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering. IEEE Trans. Signal Process. 63 (15) (2015)
Yuan Yan Tang, Tian Xia, Yantao Wei, Hong Li, Luoqing Li
Hierarchical kernel-based rotation and scale invariant similarity. Pattern Recognit. 47 (4) (2014)
Hong Li, Guangrun Xiao, Tian Xia, Yuan Yan Tang, Luoqing Li
Hyperspectral Image Classification Using Functional Data Analysis. IEEE Trans. Cybern. 44 (9) (2014)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks 53 (2014)
Yuan Yan Tang, Haoliang Yuan, Luoqing Li
Manifold-Based Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 52 (12) (2014)
Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan
Extreme learning machine for ranking: Generalization analysis and applications. Neural Networks 53 (2014)
Boxuan Zhong, Zijing Chen, Xinge You, Luoqing Li, Yunliang Xie, Shujian Yu
Robust weighted coarse-to-fine sparse tracking. SPAC (2014)
Fangchao He, Hong Chen, Luoqing Li
Statistical analysis of the moving least-squares method with unbounded sampling. Inf. Sci. 268 (2014)
Hong Chen, Zhibin Pan, Luoqing Li
Learning performance of coefficient-based regularized ranking. Neurocomputing 133 (2014)
Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. 44 (9) (2014)
Hong Li, Chuanbao Ren, Luoqing Li
-Processes and Preference Learning. Neural Comput. 26 (12) (2014)
Qiuhui Chen, Luoqing Li, Yi Wang
Amplitudes of mono-component signals and the generalized sampling functions. Signal Process. 94 (2014)
Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li, Yuan Yan Tang
Error Analysis of Stochastic Gradient Descent Ranking. IEEE Trans. Cybern. 43 (3) (2013)
Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan
Convergence rate of the semi-supervised greedy algorithm. Neural Networks 44 (2013)
Hong Li, Yantao Wei, Luoqing Li, C. L. Philip Chen
Hierarchical Feature Extraction With Local Neural Response for Image Recognition. IEEE Trans. Cybern. 43 (2) (2013)
Qiuhui Chen, Luoqing Li, Wenjun Yuan
Wave equation relating to the pre-Laguerre system. Appl. Math. Lett. 26 (5) (2013)
Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 24 (2) (2013)
Hong Chen, Zhibin Pan, Luoqing Li, Yuan Yan Tang
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection. Neural Comput. 25 (4) (2013)
Juan Huang, Hong Chen, Luoqing Li
Least Square Regression with coefficient Regularization by Gradient Descent. Int. J. Wavelets Multiresolution Inf. Process. 10 (1) (2012)
Qiuhui Chen, Luoqing Li, Yi Wang
Amplitudes of mono-components and representation by generalized sampling functions CoRR (2012)
Hong Li, Na Chen, Luoqing Li
Elastic-Net Regularization for Low-Rank Matrix Recovery. Int. J. Wavelets Multiresolution Inf. Process. 10 (5) (2012)
Qiuhui Chen, Luoqing Li, Guangbin Ren
Generalized Paley-Wiener Theorems. Int. J. Wavelets Multiresolution Inf. Process. 10 (2) (2012)
Tian Xia, Yuan Yan Tang, Yantao Wei, Hong Li, Luoqing Li
Object categorization based on hierarchical learning. ICPR (2012)
Hong Li, Yantao Wei, Luoqing Li, Yuan Yuan
Similarity learning for object recognition based on derived kernel. Neurocomputing 83 (2012)
Hong Li, Na Chen, Luoqing Li
Error Analysis for Matrix Elastic-Net Regularization Algorithms. IEEE Trans. Neural Networks Learn. Syst. 23 (5) (2012)
Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Hui Zhou, Luoqing Li
Local adaptive dictionary based image denoising. ACPR (2011)
Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Xiaoli Pan, Luoqing Li
Single-image super-resolution based on semi-supervised learning. ACPR (2011)
Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Hui Zhou, Luoqing Li
Image denoising via weight regression. ACPR (2011)
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Luoqing Li, Xuelong Li
Image Denoising via Improved Sparse Coding. BMVC (2011)
Xiaoqiang Lu, Haoliang Yuan, Yuan Yuan, Pingkun Yan, Luoqing Li, Xuelong Li
Local learning-based image super-resolution. MMSP (2011)
Yi Tang, Xiaoli Pan, Yuan Yuan, Pingkun Yan, Luoqing Li, Xuelong Li
Local semi-supervised regression for single-image super-resolution. MMSP (2011)
Hong Li, Luoqing Li, Tao Qian
Discrete-time analytic signals and Bedrosian product theorems. Digit. Signal Process. 20 (4) (2010)
Hong Chen, Luoqing Li, Jiangtao Peng
Semi-supervised learning based on high density region estimation. Neural Networks 23 (7) (2010)
Hong Chen, Luoqing Li, Jiangtao Peng
Error bounds of multi-graph regularized semi-supervised classification. Inf. Sci. 179 (12) (2009)
Hong Chen, Luoqing Li
Semisupervised Multicategory Classification With Imperfect Model. IEEE Trans. Neural Networks 20 (10) (2009)
Bin Zou, Luoqing Li, Zongben Xu
The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. 75 (3) (2009)
Luoqing Li
Regularized Least Square Regression with Spherical Polynomial Kernels. Int. J. Wavelets Multiresolution Inf. Process. 7 (6) (2009)
Hong Chen, Luoqing Li, Yuan Yan Tang
Analysis of Classification with a Reject Option. Int. J. Wavelets Multiresolution Inf. Process. 7 (3) (2009)
Yantao Wei, Hong Li, Luoqing Li
Tensor Locality Sensitive Discriminant Analysis and its Complexity. Int. J. Wavelets Multiresolution Inf. Process. 7 (6) (2009)
Hong Li, Shaohua Xu, Luoqing Li
Dim target detection and tracking based on empirical mode decomposition. Signal Process. Image Commun. 23 (10) (2008)
Hong Li, Luoqing Li, Yuan Yan Tang
Mono-Component Decomposition of Signals Based on Blaschke Basis. Int. J. Wavelets Multiresolution Inf. Process. 5 (6) (2007)
Luoqing Li, Bin Zou
Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. ICNC (1) (2007)
Bin Zou, Luoqing Li
The performance bounds of learning machines based on exponentially strongly mixing sequences. Comput. Math. Appl. 53 (7) (2007)
Bin Zou, Luoqing Li, Jie Xu
The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT (2006)
Bin Zou, Luoqing Li
The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. ICPR (2) (2006)
Luoqing Li, Yuan Yan Tang
Wavelet-Hough Transform with Applications in Edge and Target Detections. Int. J. Wavelets Multiresolution Inf. Process. 4 (3) (2006)
Luoqing Li, Chenggao Wan
Support Vector Machines with Beta-Mixing Input Sequences. ISNN (1) (2006)
Bin Zou, Jie Xu, Luoqing Li
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) (2006)
Qiuhui Chen, Luoqing Li, Tao Qian
Stability of Frames Generated by Nonlinear Fourier atoms. Int. J. Wavelets Multiresolution Inf. Process. 3 (4) (2005)
Xinge You, Bin Fang, Yuan Yan Tang, Luoqing Li, Dan Zhang
Axial Representation of Character by Using Wavelet Transform. FSKD (2) (2005)
Bin Zou, Luoqing Li, Jie Xu
The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) (2005)
Xinge You, Jianwei Yang, Yuan Yan Tang, Bin Fang, Luoqing Li
Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform. SINOBIOMETRICS (2004)