Jianjun Wang

According to our database, Jianjun Wang authored at least 89 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization.

Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang

Signal Process., 2025

2024

The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery.

Jianwen Huang, Feng Zhang, Jianjun Wang, Xinling Liu, Jinping Jia

IEEE Trans. Neural Networks Learn. Syst., November, 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, Jianjun Wang

J. Sci. Comput., June, 2024

Low-tubal-rank tensor completion via local and nonlocal knowledge.

Weichao Kong, Feng Zhang, Wenjin Qin, Qingrong Feng, Jianjun Wang

Inf. Sci., February, 2024

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation.

Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang

IEEE Trans. Image Process., 2024

Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction.

Chunyan Liu, Sui Li, Dianlin Hu, Jianjun Wang, Wenjin Qin, Chen Liu, Peng Zhang

IEEE Trans. Computational Imaging, 2024

Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery.

Xiaoyang Cheng, Weichao Kong, Xin Luo, Wenjin Qin, Feng Zhang, Jianjun Wang

Signal Process., 2024

Poisson tensor completion with transformed correlated total variation regularization.

Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang

Pattern Recognit., 2024

2023

Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting.

Feng Zhang, Hailin Wang, Wenjin Qin, Xile Zhao, Jianjun Wang

Appl. Intell., October, 2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.

Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Low-Tubal-Rank tensor recovery with multilayer subspace prior learning.

Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang

Pattern Recognit., August, 2023

One-bit compressed sensing via total variation minimization method.

Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang

Signal Process., June, 2023

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices.

Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations.

Jianjun Wang, Jingyao Hou, Yonina C. Eldar

IEEE Trans. Inf. Theory, 2023

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.

Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery.

Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo

Knowl. Based Syst., 2023

High-Order Tensor Recovery Coupling Multilayer Subspace Priori with Application in Video Restoration.

Hao Tan, Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Plug-and-Play for Tensor Robust Principal Component Analysis.

Hao Tan, Jianjun Wang, Weichao Kong

Proceedings of the IEEE International Conference on Acoustics, 2023

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery.

Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer.

Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Low-Rank High-Order Tensor Completion With Applications in Visual Data.

Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang

IEEE Trans. Image Process., 2022

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness.

Xinling Liu, Jingyao Hou, Jianjun Wang

IEEE Signal Process. Lett., 2022

A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.

Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements.

Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation.

Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information.

Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery.

Zhi Wang, Dong Hu, Xiaohu Luo, Wendong Wang, Jianjun Wang, Wu Chen

Int. J. Mach. Learn. Cybern., 2021

Denoising convolutional neural network inspired via multi-layer convolutional sparse coding.

Zejia Wen, Hailin Wang, Yingfan Gong, Jianjun Wang

J. Electronic Imaging, 2021

Robust low-rank tensor reconstruction using high-order t-SVD.

Wenjin Qin, Hailin Wang, Feng Zhang, Mingwei Dai, Jianjun Wang

J. Electronic Imaging, 2021

Perturbation analysis of low-rank matrix stable recovery.

Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang

Int. J. Wavelets Multiresolution Inf. Process., 2021

An optimal condition of robust low-rank matrices recovery.

Jianwen Huang, Sanfu Wang, Jianjun Wang, Feng Zhang, Hailin Wang, Jinping Jia

Int. J. Wirel. Mob. Comput., 2021

Tensor restricted isometry property analysis for a large class of random measurement ensembles.

Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang

Sci. China Inf. Sci., 2021

Non-Convex Sparse Deviation Modeling Via Generative Models.

Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem.

Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang

IEEE Signal Process. Lett., 2020

Accelerated inexact matrix completion algorithm via closed-form q-thresholding (q = 1/2, 2/3) operator.

Zhi Wang, Chao Gao, Xiaohu Luo, Ming Tang, Jianjun Wang, Wu Chen

Int. J. Mach. Learn. Cybern., 2020

RIP-based performance guarantee for low-tubal-rank tensor recovery.

Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang

J. Comput. Appl. Math., 2020

Robust principal component analysis with intra-block correlation.

Can Jiang, Feng Zhang, Jianjun Wang, Chan-Yun Yang, Wendong Wang

Neurocomputing, 2020

CMCS-net: image compressed sensing with convolutional measurement via DCNN.

Yahong Xie, Hailin Wang, Jianjun Wang

IET Image Process., 2020

The high-order block RIP for non-convex block-sparse compressed sensing.

Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang

CoRR, 2020

The perturbation analysis of nonconvex low-rank matrix robust recovery.

Jianwen Huang, Wendong Wang, Feng Zhang, Jianjun Wang

CoRR, 2020

An Optimal Condition of Robust Low-rank Matrices Recovery.

Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang

CoRR, 2020

An analysis of noise folding for low-rank matrix recovery.

Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang

CoRR, 2020

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion.

Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements.

Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A nonconvex penalty function with integral convolution approximation for compressed sensing.

Jianjun Wang, Feng Zhang, Jianwen Huang, Wendong Wang, Changan Yuan

Signal Process., 2019

Image denoising in impulsive noise via weighted Schatten p -norm regularization.

Gang Chen, Jianjun Wang, Feng Zhang, Wendong Wang

J. Electronic Imaging, 2019

Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator.

Zhi Wang, Wendong Wang, Jianjun Wang, Siqi Chen

Neurocomputing, 2019

Sharp sufficient condition of block signal recovery via <i>l</i> ₂/<i>l</i> ₁-minimisation.

Jianwen Huang, Jianjun Wang, Wendong Wang, Feng Zhang

IET Signal Process., 2019

Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise.

Qingrong Feng, Jianjun Wang, Feng Zhang

IET Commun., 2019

Deterministic Analysis of Weighted BPDN With Partially Known Support Information.

Wendong Wang, Jianjun Wang

CoRR, 2019

Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond.

Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang

IEEE Access, 2019

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, Jianjun Wang, Wendong Wang

计算机科学, 2018

An inertial projection neural network for sparse signal reconstruction via l1-2 minimization.

Lijuan Zhu, Jianjun Wang, Xing He, You Zhao

Neurocomputing, 2018

Block-sparse signal recovery via ℓ 2 / ℓ 1 - 2 minimisation method.

Wendong Wang, Jianjun Wang, Zili Zhang

IET Signal Process., 2018

Reconstruction analysis of block-sparse signal via truncated ℓ 2 / ℓ 1 -minimisation with redundant dictionaries.

Jiayi Liu, Jianjun Wang, Feng Zhang

IET Signal Process., 2018

Coherence-Based Performance Guarantee of Regularized 𝓁₁-Norm Minimization and Beyond.

Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang

CoRR, 2018

Perturbations of Compressed Data Separation With Redundant Tight Frames.

Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang

IEEE Access, 2018

A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov's Rule.

Zhi Wang, Jianjun Wang, Wendong Wang, Chao Gao, Siqi Chen

IEEE Access, 2018

New Sufficient Conditions of Signal Recovery With Tight Frames via l₁-Analysis Approach.

Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang

IEEE Access, 2018

2017

Robust Signal Recovery With Highly Coherent Measurement Matrices.

Wendong Wang, Jianjun Wang, Zili Zhang

IEEE Signal Process. Lett., 2017

Non-convex block-sparse compressed sensing with redundant dictionaries.

Chunyan Liu, Jianjun Wang, Wendong Wang, Zhi Wang

IET Signal Process., 2017

A Fast and Robust TSVM for Pattern Classification.

Bin-Bin Gao, Jian-Jun Wang

CoRR, 2017

2016

A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization.

Jing Zhang, Jianjun Wang, Wendong Wang

Int. J. Wavelets Multiresolution Inf. Process., 2016

Kernel canonical correlation analysis via gradient descent.

Jia Cai, Yi Tang, Jianjun Wang

Neurocomputing, 2016

Perona-Malik Model with a New Diffusion Coefficient for Image Denoising.

Jianjun Yuan, Jianjun Wang

Int. J. Image Graph., 2016

Block-sparse compressed sensing with partially known signal support via non-convex minimisation.

Shiying He, Yao Wang, Jianjun Wang, Zongben Xu

IET Signal Process., 2016

2015

Confirming robustness of fuzzy support vector machine via ξ-α bound.

Chan-Yun Yang, Jian-Jun Wang, Jui-Jen Chou, Feng-Li Lian

Neurocomputing, 2015

A perturbation analysis of nonconvex block-sparse compressed sensing.

Jianjun Wang, Jing Zhang, Wendong Wang, Chan-Yun Yang

Commun. Nonlinear Sci. Numer. Simul., 2015

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification.

Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Restricted p-isometry properties of nonconvex block-sparse compressed sensing.

Yao Wang, Jianjun Wang, Zongben Xu

Signal Process., 2014

Active Contours Driven by Local Intensity and Local Gradient Fitting energies.

Jianjun Yuan, Jianjun Wang, Lipei Liu

Int. J. Pattern Recognit. Artif. Intell., 2014

2013

On recovery of block-sparse signals via mixed l₂/l_q (0 < q ≤ 1) norm minimization.

Yao Wang, Jianjun Wang, Zongben Xu

EURASIP J. Adv. Signal Process., 2013

2012

Approximation of algebraic and trigonometric polynomials by feedforward neural networks.

Jianjun Wang, Baili Chen, Chan-Yun Yang

Neural Comput. Appl., 2012

Estimation of Approximating Rate for Neural Network inLwp Spaces.

Jianjun Wang, Chan-Yun Yang, Jia Jing

J. Appl. Math., 2012

Derivatives of Multivariate <i>Bernstein</i> Operators and Smoothness with <i>Jacobi</i> Weights.

Jianjun Wang, Zuoxiang Peng, Shukai Duan, Jia Jing

J. Appl. Math., 2012

Constructive Estimation of Approximation for trigonometric Neural Networks.

Jianjun Wang, Weihua Xu, Bin Zou

Int. J. Wavelets Multiresolution Inf. Process., 2012

L2-loss twin support vector machine for classification.

Bin-Bin Gao, Jian-Jun Wang, Hua Huang

Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011

Neural networks and the best trigomometric approximation.

Jianjun Wang, Zongben Xu

J. Syst. Sci. Complex., 2011

2010

New study on neural networks: the essential order of approximation.

Jianjun Wang, Zongben Xu

Neural Networks, 2010

2009

Margin calibration in SVM class-imbalanced learning.

Chan-Yun Yang, Jr-Syu Yang, Jian-Jun Wang

Neurocomputing, 2009

Estimation of Covering Number in Learning Theory.

Jianjun Wang, Hua Huang, Zhangtao Luo, Baili Chen

Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid, 2009

Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples.

Jie Xu, Bin Zou, Jianjun Wang

Proceedings of the Fifth International Conference on Natural Computation, 2009

How to Measure the Essential Approximation Capability of a FNN.

Jianjun Wang, Bin Zou, Baili Chen

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Imbalanced SVM Learning with Margin Compensation.

Chan-Yun Yang, Jianjun Wang, Jr-Syu Yang, Guo-Ding Yu

Proceedings of the Advances in Neural Networks, 2008

2007

Constructive Trigonometric Function Approximation of Neural Networks.

Jianjun Wang, Zongben Xu, Jia Jing

Proceedings of the Third International Conference on Semantics, 2007

2006

The essential order of approximation for nearly exponential type neural networks.

Zongben Xu, Jianjun Wang

Sci. China Ser. F Inf. Sci., 2006

Approximation Bound of Mixture Networks in <i>L</i>_<i>omega</i>^<i>p</i> Spaces.

Zongben Xu, Jianjun Wang, Deyu Meng

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2004

Approximation Bounds by Neural Networks in L^p_omega.

Jianjun Wang, Zongben Xu, Weijun Xu

Proceedings of the Advances in Neural Networks, 2004