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Luoqing Li
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2020 – today
- 2023
- [j63]Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li:
Simultaneous Robust Matching Pursuit for Multi-view Learning. Pattern Recognit. 134: 109100 (2023) - [j62]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: 5114-5125 (2023) - 2022
- [j61]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): 2675-2686 (2022) - 2020
- [j60]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: 73-83 (2020) - [j59]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): 2050051:1-2050051:18 (2020) - [j58]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): 4393-4405 (2020)
2010 – 2019
- 2019
- [j57]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): 1950017:1-1950017:12 (2019) - [j56]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): 6-19 (2019) - [j55]Yulong Wang, Yuan Yan Tang, Luoqing Li, Xianwei Zheng:
Block sparse representation for pattern classification: Theory, extensions and applications. Pattern Recognit. 88: 198-209 (2019) - [j54]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): 1114 (2019) - [j53]Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li, Zhaowei Shang:
Cauchy greedy algorithm for robust sparse recovery and multiclass classification. Signal Process. 164: 284-294 (2019) - [j52]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): 1790-1802 (2019) - 2018
- [j51]Zhuyuan Yang, Luoqing Li:
Erratum: "Approximation by Riesz Means on the Rotation Group SO(3)". Int. J. Wavelets Multiresolution Inf. Process. 16(1): 1892001:1 (2018) - [j50]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): 4166-4176 (2018) - [c18]Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li:
Cauchy Matching Pursuit for Robust Sparse Representation and Classification. ICPR 2018: 694-698 - 2017
- [j49]Zhuyuan Yang, Luoqing Li:
Approximation by Riesz means on the rotation group SO(3). Int. J. Wavelets Multiresolution Inf. Process. 15(4): 1750035:1-1750035:11 (2017) - [j48]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): 1750056:1-1750056:18 (2017) - [j47]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): 1563-1574 (2017) - [j46]Yulong Wang, Yuan Yan Tang, Luoqing Li:
Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition. IEEE Trans. Cybern. 47(6): 1354-1366 (2017) - [i2]Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen:
Modal Regression based Atomic Representation for Robust Face Recognition. CoRR abs/1711.05861 (2017) - 2016
- [j45]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): 1640003:1-1640003:15 (2016) - [j44]Luoqing Li, Chuanwu Yang, Qiwei Xie:
1D embedding multi-category classification methods. Int. J. Wavelets Multiresolution Inf. Process. 14(2): 1640006:1-1640006:13 (2016) - [j43]Jiangtao Peng, Lefei Zhang, Luoqing Li:
Regularized set-to-set distance metric learning for hyperspectral image classification. Pattern Recognit. Lett. 83: 143-151 (2016) - [c17]Yulong Wang, Yuan Yan Tang, Luoqing Li, Patrick Shen-Pei Wang:
Information-theoretic atomic representation for robust pattern classification. ICPR 2016: 3685-3690 - 2015
- [j42]Ling Zuo, Luoqing Li, Chen Chen:
The graph based semi-supervised algorithm with ℓ1-regularizer. Neurocomputing 149: 966-974 (2015) - [j41]Yingxiong Fu, Luoqing Li:
Uncertainty principle for multivector-valued functions. Int. J. Wavelets Multiresolution Inf. Process. 13(1): 1550005:1-1550005:8 (2015) - [j40]Wojciech Rejchel, Hong Li, Chuanbao Ren, Luoqing Li:
Comments and Correction on "U-Processes and Preference Learning" (Neural Computation Vol. 26, pp. 2896-2924, 2014). Neural Comput. 27(7): 1549-1553 (2015) - [j39]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): 1169-1179 (2015) - [j38]Yuan Yan Tang, Yulong Wang, Luoqing Li, C. L. Philip Chen:
Structural Atomic Representation for Classification. IEEE Trans. Cybern. 45(12): 2905-2913 (2015) - [j37]Yulong Wang, Yuan Yan Tang, Luoqing Li:
Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation. IEEE Trans. Image Process. 24(12): 5868-5878 (2015) - [j36]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): 628-639 (2015) - [j35]Yulong Wang, Yuan Yan Tang, Luoqing Li:
Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering. IEEE Trans. Signal Process. 63(15): 4010-4021 (2015) - 2014
- [j34]Hong Chen, Zhibin Pan, Luoqing Li:
Learning performance of coefficient-based regularized ranking. Neurocomputing 133: 54-62 (2014) - [j33]Fangchao He, Hong Chen, Luoqing Li:
Statistical analysis of the moving least-squares method with unbounded sampling. Inf. Sci. 268: 370-380 (2014) - [j32]Hong Li, Chuanbao Ren, Luoqing Li:
U-Processes and Preference Learning. Neural Comput. 26(12): 2896-2924 (2014) - [j31]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: 40-51 (2014) - [j30]Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan:
Extreme learning machine for ranking: Generalization analysis and applications. Neural Networks 53: 119-126 (2014) - [j29]Yuan Yan Tang, Tian Xia, Yantao Wei, Hong Li, Luoqing Li:
Hierarchical kernel-based rotation and scale invariant similarity. Pattern Recognit. 47(4): 1674-1688 (2014) - [j28]Qiuhui Chen, Luoqing Li, Yi Wang:
Amplitudes of mono-component signals and the generalized sampling functions. Signal Process. 94: 255-263 (2014) - [j27]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): 1497-1507 (2014) - [j26]Hong Li, Guangrun Xiao, Tian Xia, Yuan Yan Tang, Luoqing Li:
Hyperspectral Image Classification Using Functional Data Analysis. IEEE Trans. Cybern. 44(9): 1544-1555 (2014) - [j25]Yuan Yan Tang, Haoliang Yuan, Luoqing Li:
Manifold-Based Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(12): 7606-7618 (2014) - [c16]Boxuan Zhong, Zijing Chen, Xinge You, Luoqing Li, Yunliang Xie, Shujian Yu:
Robust weighted coarse-to-fine sparse tracking. SPAC 2014: 7-14 - 2013
- [j24]Qiuhui Chen, Luoqing Li, Wenjun Yuan:
Wave equation relating to the pre-Laguerre system. Appl. Math. Lett. 26(5): 544-548 (2013) - [j23]Hong Chen, Zhibin Pan, Luoqing Li, Yuan Yan Tang:
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection. Neural Comput. 25(4): 1107-1121 (2013) - [j22]Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan:
Convergence rate of the semi-supervised greedy algorithm. Neural Networks 44: 44-50 (2013) - [j21]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): 412-424 (2013) - [j20]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): 898-909 (2013) - [j19]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): 288-300 (2013) - 2012
- [j18]Hong Li, Yantao Wei, Luoqing Li, Yuan Yuan:
Similarity learning for object recognition based on derived kernel. Neurocomputing 83: 110-120 (2012) - [j17]Juan Huang, Hong Chen, Luoqing Li:
Least Square Regression with coefficient Regularization by Gradient Descent. Int. J. Wavelets Multiresolution Inf. Process. 10(1) (2012) - [j16]Qiuhui Chen, Luoqing Li, Guangbin Ren:
Generalized Paley-Wiener Theorems. Int. J. Wavelets Multiresolution Inf. Process. 10(2) (2012) - [j15]Hong Li, Na Chen, Luoqing Li:
Elastic-Net Regularization for Low-Rank Matrix Recovery. Int. J. Wavelets Multiresolution Inf. Process. 10(5) (2012) - [j14]Hong Li, Na Chen, Luoqing Li:
Error Analysis for Matrix Elastic-Net Regularization Algorithms. IEEE Trans. Neural Networks Learn. Syst. 23(5): 737-748 (2012) - [c15]Tian Xia, Yuan Yan Tang, Yantao Wei, Hong Li, Luoqing Li:
Object categorization based on hierarchical learning. ICPR 2012: 1419-1422 - [i1]Qiuhui Chen, Luoqing Li, Yi Wang:
Amplitudes of mono-components and representation by generalized sampling functions. CoRR abs/1212.3886 (2012) - 2011
- [c14]Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Xiaoli Pan, Luoqing Li:
Single-image super-resolution based on semi-supervised learning. ACPR 2011: 52-56 - [c13]Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Hui Zhou, Luoqing Li:
Local adaptive dictionary based image denoising. ACPR 2011: 412-416 - [c12]Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Hui Zhou, Luoqing Li:
Image denoising via weight regression. ACPR 2011: 417-421 - [c11]Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Luoqing Li, Xuelong Li:
Image Denoising via Improved Sparse Coding. BMVC 2011: 1-11 - [c10]Xiaoqiang Lu, Haoliang Yuan, Yuan Yuan, Pingkun Yan, Luoqing Li, Xuelong Li:
Local learning-based image super-resolution. MMSP 2011: 1-5 - [c9]Yi Tang, Xiaoli Pan, Yuan Yuan, Pingkun Yan, Luoqing Li, Xuelong Li:
Local semi-supervised regression for single-image super-resolution. MMSP 2011: 1-5 - 2010
- [j13]Hong Li, Luoqing Li, Tao Qian:
Discrete-time analytic signals and Bedrosian product theorems. Digit. Signal Process. 20(4): 982-990 (2010) - [j12]Hong Chen, Luoqing Li, Jiangtao Peng:
Semi-supervised learning based on high density region estimation. Neural Networks 23(7): 812-818 (2010)
2000 – 2009
- 2009
- [j11]Hong Chen, Luoqing Li, Yuan Yan Tang:
Analysis of Classification with a Reject Option. Int. J. Wavelets Multiresolution Inf. Process. 7(3): 375-385 (2009) - [j10]Luoqing Li:
Regularized Least Square Regression with Spherical Polynomial Kernels. Int. J. Wavelets Multiresolution Inf. Process. 7(6): 781-801 (2009) - [j9]Yantao Wei, Hong Li, Luoqing Li:
Tensor Locality Sensitive Discriminant Analysis and its Complexity. Int. J. Wavelets Multiresolution Inf. Process. 7(6): 865-880 (2009) - [j8]Hong Chen, Luoqing Li, Jiangtao Peng:
Error bounds of multi-graph regularized semi-supervised classification. Inf. Sci. 179(12): 1960-1969 (2009) - [j7]Bin Zou, Luoqing Li, Zongben Xu:
The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. 75(3): 275-295 (2009) - [j6]Hong Chen, Luoqing Li:
Semisupervised Multicategory Classification With Imperfect Model. IEEE Trans. Neural Networks 20(10): 1594-1603 (2009) - 2008
- [j5]Hong Li, Shaohua Xu, Luoqing Li:
Dim target detection and tracking based on empirical mode decomposition. Signal Process. Image Commun. 23(10): 788-797 (2008) - 2007
- [j4]Bin Zou, Luoqing Li:
The performance bounds of learning machines based on exponentially strongly mixing sequences. Comput. Math. Appl. 53(7): 1050-1058 (2007) - [j3]Hong Li, Luoqing Li, Yuan Yan Tang:
Mono-Component Decomposition of Signals Based on Blaschke Basis. Int. J. Wavelets Multiresolution Inf. Process. 5(6): 941-956 (2007) - [c8]Luoqing Li, Bin Zou:
Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. ICNC (1) 2007: 89-93 - 2006
- [j2]Luoqing Li, Yuan Yan Tang:
Wavelet-Hough Transform with Applications in Edge and Target Detections. Int. J. Wavelets Multiresolution Inf. Process. 4(3): 567-587 (2006) - [c7]Bin Zou, Jie Xu, Luoqing Li:
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) 2006: 5-14 - [c6]Bin Zou, Luoqing Li:
The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. ICPR (2) 2006: 548-551 - [c5]Luoqing Li, Chenggao Wan:
Support Vector Machines with Beta-Mixing Input Sequences. ISNN (1) 2006: 928-935 - [c4]Bin Zou, Luoqing Li, Jie Xu:
The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT 2006: 568-573 - 2005
- [j1]Qiuhui Chen, Luoqing Li, Tao Qian:
Stability of Frames Generated by Nonlinear Fourier atoms. Int. J. Wavelets Multiresolution Inf. Process. 3(4): 465-476 (2005) - [c3]Xinge You, Bin Fang, Yuan Yan Tang, Luoqing Li, Dan Zhang:
Axial Representation of Character by Using Wavelet Transform. FSKD (2) 2005: 130-139 - [c2]Bin Zou, Luoqing Li, Jie Xu:
The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) 2005: 538-545 - 2004
- [c1]Xinge You, Jianwei Yang, Yuan Yan Tang, Bin Fang, Luoqing Li:
Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform. SINOBIOMETRICS 2004: 461-470
Coauthor Index
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