Approximation Bounds by Neural Networks in Lpomega. - Jianjun Wang 003; Zongben Xu; Weijun Xu (ISNN (1), 2004)

Approximation Bound of Mixture Networks in Lomegap Spaces. - Zongben Xu; Jianjun Wang 003; Deyu Meng (ISNN (1), 2006)

The essential order of approximation for nearly exponential type neural networks. - Zongben Xu; Jianjun Wang 003 (Sci. China Ser. F Inf. Sci., 2006)

Constructive Trigonometric Function Approximation of Neural Networks. - Jianjun Wang 003; Zongben Xu; Jia Jing (SKG, 2007)

Imbalanced SVM Learning with Margin Compensation. - Chan-Yun Yang; Jianjun Wang 003; Jr-Syu Yang; Guo-Ding Yu (ISNN (1), 2008)

How to Measure the Essential Approximation Capability of a FNN. - Jianjun Wang 003; Bin Zou 002; Baili Chen (ICNC (2), 2009)

Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. - Jie Xu 006; Bin Zou 002; Jianjun Wang 003 (ICNC (1), 2009)

Estimation of Covering Number in Learning Theory. - Jianjun Wang 003; Hua Huang; Zhangtao Luo; Baili Chen (SKG, 2009)

Margin calibration in SVM class-imbalanced learning. - Chan-Yun Yang; Jr-Syu Yang; Jian-Jun Wang 003 (Neurocomputing, 2009)

New study on neural networks: the essential order of approximation. - Jianjun Wang 003; Zongben Xu (Neural Networks, 2010)

Neural networks and the best trigomometric approximation. - Jianjun Wang 003; Zongben Xu (J. Syst. Sci. Complex., 2011)

L2-loss twin support vector machine for classification. - Bin-Bin Gao; Jian-Jun Wang 003; Hua Huang (BMEI, 2012)

Constructive Estimation of Approximation for trigonometric Neural Networks. - Jianjun Wang 003; Weihua Xu 003; Bin Zou 002 (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Derivatives of Multivariate Bernstein Operators and Smoothness with Jacobi Weights. - Jianjun Wang 003; Zuoxiang Peng; Shukai Duan 001; Jia Jing (J. Appl. Math., 2012)

Estimation of Approximating Rate for Neural Network inLwp Spaces. - Jianjun Wang 003; Chan-Yun Yang; Jia Jing (J. Appl. Math., 2012)

Approximation of algebraic and trigonometric polynomials by feedforward neural networks. - Jianjun Wang 003; Baili Chen; Chan-Yun Yang (Neural Comput. Appl., 2012)

On recovery of block-sparse signals via mixed l2/lq (0 < q ≤ 1) norm minimization. - Yao Wang 003; Jianjun Wang 003; Zongben Xu (EURASIP J. Adv. Signal Process., 2013)

Active Contours Driven by Local Intensity and Local Gradient Fitting energies. - Jianjun Yuan 001; Jianjun Wang 003; Lipei Liu (Int. J. Pattern Recognit. Artif. Intell., 2014)

Restricted p-isometry properties of nonconvex block-sparse compressed sensing. - Yao Wang 003; Jianjun Wang 003; Zongben Xu (Signal Process., 2014)

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. - Bin-Bin Gao; Jian-Jun Wang 003; Yao Wang 003; Chan-Yun Yang (ICMLA, 2015)

A perturbation analysis of nonconvex block-sparse compressed sensing. - Jianjun Wang 003; Jing Zhang; Wendong Wang 001; Chan-Yun Yang (Commun. Nonlinear Sci. Numer. Simul., 2015)

Confirming robustness of fuzzy support vector machine via ξ-α bound. - Chan-Yun Yang; Jian-Jun Wang 003; Jui-Jen Chou; Feng-Li Lian (Neurocomputing, 2015)

Block-sparse compressed sensing with partially known signal support via non-convex minimisation. - Shiying He; Yao Wang 003; Jianjun Wang 003; Zongben Xu (IET Signal Process., 2016)

Perona-Malik Model with a New Diffusion Coefficient for Image Denoising. - Jianjun Yuan; Jianjun Wang 003 (Int. J. Image Graph., 2016)

Kernel canonical correlation analysis via gradient descent. - Jia Cai; Yi Tang 003; Jianjun Wang 003 (Neurocomputing, 2016)

A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization. - Jing Zhang; Jianjun Wang 003; Wendong Wang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2016)

A Fast and Robust TSVM for Pattern Classification. - Bin-Bin Gao; Jian-Jun Wang 003 (CoRR, 2017)

Non-convex block-sparse compressed sensing with redundant dictionaries. - Chunyan Liu; Jianjun Wang 003; Wendong Wang 001; Zhi Wang 015 (IET Signal Process., 2017)

Robust Signal Recovery With Highly Coherent Measurement Matrices. - Wendong Wang 001; Jianjun Wang 003; Zili Zhang 001 (IEEE Signal Process. Lett., 2017)

New Sufficient Conditions of Signal Recovery With Tight Frames via l1-Analysis Approach. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (IEEE Access, 2018)

A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov's Rule. - Zhi Wang 015; Jianjun Wang 003; Wendong Wang 001; Chao Gao; Siqi Chen 001 (IEEE Access, 2018)

Perturbations of Compressed Data Separation With Redundant Tight Frames. - Feng Zhang 023; Jianjun Wang 003; Yao Wang 003; Jianwen Huang; Wendong Wang 001 (IEEE Access, 2018)

Coherence-Based Performance Guarantee of Regularized 𝓁1-Norm Minimization and Beyond. - Wendong Wang 001; Feng Zhang 023; Zhi Wang 015; Jianjun Wang 003 (CoRR, 2018)

Reconstruction analysis of block-sparse signal via truncated ℓ 2 / ℓ 1 -minimisation with redundant dictionaries. - Jiayi Liu; Jianjun Wang 003; Feng Zhang 023 (IET Signal Process., 2018)

Block-sparse signal recovery via ℓ 2 / ℓ 1 - 2 minimisation method. - Wendong Wang 001; Jianjun Wang 003; Zili Zhang 001 (IET Signal Process., 2018)

An inertial projection neural network for sparse signal reconstruction via l1-2 minimization. - Lijuan Zhu; Jianjun Wang 003; Xing He 001; You Zhao (Neurocomputing, 2018)

基于子空间阈值追踪的矩阵修补算法 (Matrix Completion Algorithm Based on Subspace Thresholding Pursuit). - Zhi Wang 015; Jianjun Wang 003; Wendong Wang 001 (计算机科学, 2018)

Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. - Wendong Wang 001; Feng Zhang 023; Zhi Wang 015; Jianjun Wang 003 (IEEE Access, 2019)

Deterministic Analysis of Weighted BPDN With Partially Known Support Information. - Wendong Wang 001; Jianjun Wang 003 (CoRR, 2019)

Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise. - Qingrong Feng; Jianjun Wang 003; Feng Zhang 023 (IET Commun., 2019)

Sharp sufficient condition of block signal recovery via l 2/l 1-minimisation. - Jianwen Huang; Jianjun Wang 003; Wendong Wang 001; Feng Zhang 023 (IET Signal Process., 2019)

Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator. - Zhi Wang 015; Wendong Wang 001; Jianjun Wang 003; Siqi Chen 001 (Neurocomputing, 2019)

Image denoising in impulsive noise via weighted Schatten p -norm regularization. - Gang Chen; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (J. Electronic Imaging, 2019)

A nonconvex penalty function with integral convolution approximation for compressed sensing. - Jianjun Wang 003; Feng Zhang 023; Jianwen Huang; Wendong Wang 001; Changan Yuan 001 (Signal Process., 2019)

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. - Jingyao Hou; Feng Zhang 023; Yao Wang 003; Jianjun Wang 003 (ICASSP, 2020)

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. - Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Yao Wang 003 (ICASSP, 2020)

An analysis of noise folding for low-rank matrix recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Wendong Wang 001 (CoRR, 2020)

An Optimal Condition of Robust Low-rank Matrices Recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (CoRR, 2020)

The perturbation analysis of nonconvex low-rank matrix robust recovery. - Jianwen Huang; Wendong Wang 001; Feng Zhang 023; Jianjun Wang 003 (CoRR, 2020)

The high-order block RIP for non-convex block-sparse compressed sensing. - Jianwen Huang; Xinling Liu; Jingyao Hou; Jianjun Wang 003 (CoRR, 2020)

CMCS-net: image compressed sensing with convolutional measurement via DCNN. - Yahong Xie; Hailin Wang; Jianjun Wang 003 (IET Image Process., 2020)

Robust principal component analysis with intra-block correlation. - Can Jiang; Feng Zhang 023; Jianjun Wang 003; Chan-Yun Yang; Wendong Wang 001 (Neurocomputing, 2020)

RIP-based performance guarantee for low-tubal-rank tensor recovery. - Feng Zhang 023; Wendong Wang 001; Jianwen Huang; Jianjun Wang 003; Yao Wang 003 (J. Comput. Appl. Math., 2020)

Accelerated inexact matrix completion algorithm via closed-form q-thresholding (q = 1/2, 2/3) operator. - Zhi Wang 015; Chao Gao; Xiaohu Luo; Ming Tang; Jianjun Wang 003; Wu Chen 005 (Int. J. Mach. Learn. Cybern., 2020)

Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. - Feng Zhang 023; Jingyao Hou; Jianjun Wang 003; Wendong Wang 001 (IEEE Signal Process. Lett., 2020)

Non-Convex Sparse Deviation Modeling Via Generative Models. - Yaxi Yang; Hailin Wang; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003 (ICASSP, 2021)

Tensor restricted isometry property analysis for a large class of random measurement ensembles. - Feng Zhang 023; Wendong Wang 001; Jingyao Hou; Jianjun Wang 003; Jianwen Huang (Sci. China Inf. Sci., 2021)

An optimal condition of robust low-rank matrices recovery. - Jianwen Huang; Sanfu Wang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Jinping Jia (Int. J. Wirel. Mob. Comput., 2021)

Perturbation analysis of low-rank matrix stable recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Wendong Wang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Robust low-rank tensor reconstruction using high-order t-SVD. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Mingwei Dai; Jianjun Wang 003 (J. Electronic Imaging, 2021)

Denoising convolutional neural network inspired via multi-layer convolutional sparse coding. - Zejia Wen; Hailin Wang; Yingfan Gong; Jianjun Wang 003 (J. Electronic Imaging, 2021)

Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery. - Zhi Wang 015; Dong Hu; Xiaohu Luo; Wendong Wang 001; Jianjun Wang 003; Wu Chen 005 (Int. J. Mach. Learn. Cybern., 2021)

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. - Feng Zhang 023; Jianjun Wang 003; Wendong Wang 001; Chen Xu 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation. - Wenjin Qin; Hailin Wang; Weijun Ma; Jianjun Wang 003 (ICASSP, 2022)

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. - Jingyao Hou; Feng Zhang 023; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. - Xin Luo 001; Hao Wu 061; Zhi Wang 015; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. - Xinling Liu; Jingyao Hou; Jianjun Wang 003 (IEEE Signal Process. Lett., 2022)

Low-Rank High-Order Tensor Completion With Applications in Visual Data. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Xin Luo 001; Tingwen Huang (IEEE Trans. Image Process., 2022)

Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. - Zhi Wang 015; Yu Liu 029; Xin Luo 001; Jianjun Wang 003; Chao Gao; Dezhong Peng; Wu Chen 005 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. - Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Tingwen Huang; Jianwen Huang; Xinling Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. - Xinling Liu; Jingyao Hou; Jiangjun Peng; Hailin Wang; Deyu Meng; Jianjun Wang 003 (AAAI, 2023)

Deep Plug-and-Play for Tensor Robust Principal Component Analysis. - Hao Tan 004; Jianjun Wang 003; Weichao Kong (ICASSP, 2023)

High-Order Tensor Recovery Coupling Multilayer Subspace Priori with Application in Video Restoration. - Hao Tan 004; Weichao Kong; Feng Zhang 023; Wenjin Qin; Jianjun Wang 003 (ACM Multimedia, 2023)

Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. - Feng Zhang 023; Lihao Yang; Jianjun Wang 003; Xin Luo 001 (Knowl. Based Syst., 2023)

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. - Hailin Wang; Jiangjun Peng; Xiangyong Cao; Jianjun Wang 003; Qibin Zhao; Deyu Meng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations. - Jianjun Wang 003; Jingyao Hou; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2023)

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. - Jiangjun Peng; Yao Wang 003; Hong-Ying Zhang 001; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

One-bit compressed sensing via total variation minimization method. - Yuxiang Zhong; Chen Xu 007; Bin Zhang; Jingyao Hou; Jianjun Wang 003 (Signal Process., 2023)

Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. - Weichao Kong; Feng Zhang 023; Wenjin Qin; Jianjun Wang 003 (Pattern Recognit., 2023)

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. - Hailin Wang; Jiangjun Peng; Wenjin Qin; Jianjun Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting. - Feng Zhang 023; Hailin Wang; Wenjin Qin; Xile Zhao; Jianjun Wang 003 (Appl. Intell., 2023)

Poisson tensor completion with transformed correlated total variation regularization. - Qingrong Feng; Jingyao Hou; Weichao Kong; Chen Xu 007; Jianjun Wang 003 (Pattern Recognit., 2024)

Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery. - Xiaoyang Cheng; Weichao Kong; Xin Luo 001; Wenjin Qin; Feng Zhang 023; Jianjun Wang 003 (Signal Process., 2024)

Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction. - Chunyan Liu; Sui Li; Dianlin Hu; Jianjun Wang 003; Wenjin Qin; Chen Liu 026; Peng Zhang (IEEE Trans. Computational Imaging, 2024)

Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Xiangyong Cao; Xi-Le Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Weijun Ma; Jianjun Wang 003; Tingwen Huang (IEEE Trans. Image Process., 2024)

Low-tubal-rank tensor completion via local and nonlocal knowledge. - Weichao Kong; Feng Zhang 023; Wenjin Qin; Qingrong Feng; Jianjun Wang 003 (Inf. Sci., 2024)

Enhanced Low-Rank Tensor Recovery Fusing Reweighted Tensor Correlated Total Variation Regularization for Image Denoising. - Kai Huang; Weichao Kong; Min Zhou; Wenjin Qin; Feng Zhang 023; Jianjun Wang 003 (J. Sci. Comput., 2024)

The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery. - Jianwen Huang; Feng Zhang 023; Jianjun Wang 003; Xinling Liu; Jinping Jia (IEEE Trans. Neural Networks Learn. Syst., 2024)

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. - Xinling Liu; Jiangjun Peng; Jingyao Hou; Yao Wang 003; Jianjun Wang 003 (Signal Process., 2025)

Image denoising via double-weighted correlated total variation regularization. - Zhihao Zhang; Peng Zhang; Xinling Liu; Jingyao Hou; Qingrong Feng; Jianjun Wang 003 (Appl. Intell., 2025)

One-bit distributed compressed sensing with partial gaussian circulant matrices. - Yuke Leng; Jingyao Hou; Xinling Liu; Jianjun Wang 003 (Appl. Intell., 2025)

Accelerating Large-Scale Regularized High-Order Tensor Recovery. - Wenjin Qin; Hailin Wang; Jingyao Hou; Jian-Jun Wang 003 (CoRR, 2025)