Luoqing Li

发表

Elastic-Net Regularization for Low-Rank Matrix Recovery

Na Chen, Hong Li, Luoqing Li, 2012, Int. J. Wavelets Multiresolution Inf. Process..

Hierarchical kernel-based rotation and scale invariant similarity

Yuan Yan Tang, Yantao Wei, Hong Li, 2014, Pattern Recognition.

Combination of activation functions in extreme learning machines for multivariate calibration

Yuanyan Tang, Luoqing Li, Jiangtao Peng, 2013 .

Learning Theory Approach to a System Identification Problem Involving Atomic Norm

Ding-Xuan Zhou, Luoqing Li, 2015 .

Learning rates of multi-kernel regularized regression

Luoqing Li, Hong Chen, 2010 .

Generalization performance of graph-based semi-supervised classification

Luoqing Li, Hong Chen, 2009 .

On the Fock space of metaanalytic functions

Luoqing Li, P. Cerejeiras, Yingxiong Fu, 2014 .

Generalization performance of least-square regularized regression algorithm with Markov chain samples

Bin Zou, Zongben Xu, Zongben Xu, 2012 .

Generalized analytic signal associated with linear canonical transform

Yingxiong Fu, Luoqing Li, Yingxiong Fu, 2008 .

Chlorophyll a fluorescence responses of Haloxylon ammodendron seedlings subjected to progressive saline stress in the Tarim desert highway ecological shelterbelt

Luoqing Li, S. Y. Li, J. Lei, 2010, Photosynthetica.

CONSTRUCTION OF COMPACTLY SUPPORTED BIVARIATE ORTHOGONAL WAVELETS BY UNIVARIATE ORTHOGONAL WAVELETS

Y. Tang, Luoqing Li, Jianwei Yang, 2005 .

Amplitude spaces of mono-components from Blaschke products and an intrinsic multiresolution analysis

Luoqing Li, Qiuhui Chen, Weibin Wu, 2020, Int. J. Wavelets Multiresolution Inf. Process..

The construction of generalized B-spline low-pass filters related to possibility density

Luoqing Li, Qiuhui Chen, H. Malonek, 2012 .

Amplitudes of mono-components and representation by generalized sampling functions pdf

Yi Wang, Luoqing Li, Qiuhui Chen, 2012, ArXiv.

Simultaneous Robust Matching Pursuit for Multi-view Learning

Luoqing Li, K. Kou, Yulong Wang, 2022, Pattern Recognit..

Learning Theory Approach to a System Identification Problem Involving Atomic Norm

Ding-Xuan Zhou, Luoqing Li, 2015, Journal of Fourier Analysis and Applications.

The construction of generalized B-spline low-pass filters related to possibility density

Luoqing Li, Qiuhui Chen, H. Malonek, 2012, Science China Mathematics.

Error analysis for coefficient-based regularized regression in additive models

Luoqing Li, Yanfang Tao, Biqin Song, 2018 .

Image Denoising via Improved Sparse Coding

Xuelong Li, Pingkun Yan, Xiaoqiang Lu, 2011, BMVC.

Single-image super-resolution based on semi-supervised learning

Xuelong Li, Pingkun Yan, Luoqing Li, 2011, The First Asian Conference on Pattern Recognition.

Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences

Luoqing Li, Bin Zou, Luoqing Li, 2007, Third International Conference on Natural Computation (ICNC 2007).

Dim target detection and tracking based on empirical mode decomposition

Hong Li, Luoqing Li, Shaohua Xu, 2008, Signal Process. Image Commun..

On the rate of convergence for multi-category classification based on convex losses

Hong Chen, Luoqing Li, Hong Chen, 2007 .

Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images

Yuan Yan Tang, Jiangtao Peng, Luoqing Li, 2019, IEEE Transactions on Neural Networks and Learning Systems.

The graph based semi-supervised algorithm with ℓ1-regularizer

Chen Chen, Luoqing Li, Ling Zuo, 2015, Neurocomputing.

Convergence rate of the semi-supervised greedy algorithm

Yuan Yan Tang, Yicong Zhou, Luoqing Li, 2013, Neural Networks.

Semi-supervised learning based on high density region estimation

Jiangtao Peng, Luoqing Li, Hong Chen, 2010, Neural Networks.

Semisupervised Multicategory Classification With Imperfect Model

Luoqing Li, Hong Chen, Luoqing Li, 2009, IEEE Transactions on Neural Networks.

Error bounds of multi-graph regularized semi-supervised classification

Jiangtao Peng, Luoqing Li, Hong Chen, 2009, Inf. Sci..

The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance

Jie Xu, Luoqing Li, Bin Zou, 2006, ICNC.

The Bounds on the Rate of Uniform Convergence for Learning Machine

Jie Xu, Luoqing Li, Bin Zou, 2005, ISNN.

Stability of Frames Generated by Nonlinear Fourier atoms

Luoqing Li, Qiuhui Chen, Tao Qian, 2005, Int. J. Wavelets Multiresolution Inf. Process..

Convergence rate of Cesàro means of Fourier-Laplace series ✩

Chunwu Yu, Luoqing Li, Luoqing Li, 2007 .

Strong Approximation of Spherical Functions by Cesàro Means

Luoqing Li, 1993 .

Nontrivial harmonic waves with positive instantaneous frequency

Yingxiong Fu, Luoqing Li, Yingxiong Fu, 2008 .

Two families of unit analytic signals with nonlinear phase

Qiuhui Chen, Tao Qian, Luoqing Li, 2006 .

The generalization performance of ERM algorithm with strongly mixing observations

Zongben Xu, Luoqing Li, Bin Zou, 2009, Machine Learning.

U-Processes and Preference Learning

Hong Li, Luoqing Li, Chuanbao Ren, 2014, Neural Computation.

The Peetre K-Functional and the Riesz Summability Operator for the Fourier-Legendre Expansions

Luoqing Li, Luoqing Li, 1999 .

Magnetic field and pressure effects on magnetism of bond-frustrated ZnCr2S4

Z. R. Yang, Luoqing Li, Y. Sun, 2013 .

Extreme learning machine for ranking: Generalization analysis and applications

Yicong Zhou, Jiangtao Peng, Luoqing Li, 2014, Neural Networks.

Atomic Representation-Based Classification: Theory, Algorithm, and Applications

Hong Chen, Yuan Yan Tang, Yulong Wang, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Amplitudes of mono-component signals and the generalized sampling functions

Yi Wang, Luoqing Li, Qiuhui Chen, 2014, Signal Process..

Discrete-time analytic signals and Bedrosian product theorems

Hong Li, Luoqing Li, Tao Qian, 2010, Digit. Signal Process..

Time-Frequency Aspects of Nonlinear Fourier Atoms

Qiuhui Chen, Tao Qian, Luoqing Li, 2006 .

Analytic unit quadrature signals with nonlinear phase

Qiuhui Chen, Tao Qian, Luoqing Li, 2005 .

Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform

Yuan Yan Tang, Xinge You, Bin Fang, 2004, SINOBIOMETRICS.

Infrared moving target detection and tracking based on tensor locality preserving projection

Yuan Yan Tang, Hong Li, Yantao Wei, 2010 .

Support vector regression in sum space for multivariate calibration

Jiangtao Peng, Luoqing Li, Jiangtao Peng, 2014 .

The Generalization Ability of SVM Classification Based on Markov Sampling

Jie Xu, Yuan Yan Tang, Zongben Xu, 2015, IEEE Transactions on Cybernetics.

Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification

Jiangtao Peng, Sixiu Hu, Yingxiong Fu, 2019, Remote. Sens..

Error Analysis for Matrix Elastic-Net Regularization Algorithms

Na Chen, Hong Li, Luoqing Li, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Statistical analysis of the moving least-squares method with unbounded sampling

Luoqing Li, Hong Chen, Fangchao He, 2014, Inf. Sci..

Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection

Yuan Yan Tang, Luoqing Li, Zhibin Pan, 2013, Neural Computation.

Learning performance of coefficient-based regularized ranking

Luoqing Li, Zhibin Pan, Hong Chen, 2014, Neurocomputing.

Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2015, IEEE Transactions on Image Processing.

Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2015, IEEE Transactions on Signal Processing.

The Generalization Ability of Online SVM Classification Based on Markov Sampling

Jie Xu, Yuan Yan Tang, Zongben Xu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2020, IEEE Transactions on Cybernetics.

Generalized and Discriminative Collaborative Representation for Multiclass Classification

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2020, IEEE Transactions on Cybernetics.

Block sparse representation for pattern classification: Theory, extensions and applications

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2019, Pattern Recognit..

Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2020, Neurocomputing.

Face recognition via collaborative representation based multiple one-dimensional embedding

Jianzhong Wang, Yuan Yan Tang, Yi Wang, 2016, Int. J. Wavelets Multiresolution Inf. Process..

Manifold-Based Sparse Representation for Hyperspectral Image Classification

Yuan Yan Tang, Luoqing Li, Haoliang Yuan, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling

Yuan Yan Tang, Zongben Xu, Luoqing Li, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2017, Int. J. Wavelets Multiresolution Inf. Process..

Error Analysis of Stochastic Gradient Descent Ranking

Xuelong Li, Yuan Yan Tang, Luoqing Li, 2013, IEEE Transactions on Cybernetics.

CONSTRUCTION OF COMPACTLY SUPPORTED

Luoqing Li, Y. Jianwei, Li Luoqing, 2005 .

Time–frequency transform involving nonlinear modulation and frequency-varying dilation

Luoqing Li, T. Qian, Qiuhui Chen, 2020, Complex Variables and Elliptic Equations.

Filter banks from the Hadamard product of the Fibonacci sequence and a geometric sequence

Luoqing Li, Qiuhui Chen, Fuxian Chen, 2019, Int. J. Wavelets Multiresolution Inf. Process..

Structural Atomic Representation for Classification

Yuan Yan Tang, Yulong Wang, C. L. Philip Chen, 2015, IEEE Transactions on Cybernetics.

Modal Regression based Atomic Representation for Robust Face Recognition

Luoqing Li, Yulong Wang, Hong Chen, 2017, ArXiv.

Hierarchical Feature Extraction With Local Neural Response for Image Recognition

C. L. Philip Chen, Yantao Wei, Hong Li, 2013, IEEE Transactions on Cybernetics.

Cauchy greedy algorithm for robust sparse recovery and multiclass classification

Yuan Yan Tang, Zhaowei Shang, Yulong Wang, 2019, Signal Process..

Cauchy Matching Pursuit for Robust Sparse Representation and Classification

Yuan Yan Tang, Yulong Wang, Luoqing Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Approximation by Riesz means on the rotation group SO(3)

Luoqing Li, Zhuyuan Yang, Luoqing Li, 2017, Int. J. Wavelets Multiresolution Inf. Process..

Ideal Regularized Composite Kernel for Hyperspectral Image Classification

Yicong Zhou, Jiangtao Peng, Luoqing Li, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hyperspectral Image Classification Using Functional Data Analysis

Hong Li, Luoqing Li, Tian Xia, 2014, IEEE Transactions on Cybernetics.

Riesz Means on Compact Riemannian Symmetric Spaces

Luoqing Li, 2006 .

Robust weighted coarse-to-fine sparse tracking

Xinge You, Luoqing Li, Zijing Chen, 2014, Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

Object categorization based on hierarchical learning

Yuan Yan Tang, Yantao Wei, Hong Li, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Yantao Wei, Hong Li, Luoqing Li, 2012, Neurocomputing.

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling

Yuanyan Tang, Yang Lu, Zongben Xu, 2014, IEEE Transactions on Cybernetics.