Jianjun Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Signal Recovery

Compressed Sensing

Top Venues

IET Signal Process.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Weichao Kong, Feng Zhang, Wenjin Qin, Qingrong Feng, Jianjun Wang
Low-tubal-rank tensor completion via local and nonlocal knowledge. Inf. Sci. 657 (2024)
Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang
Poisson tensor completion with transformed correlated total variation regularization. Pattern Recognit. 156 (2024)
Chunyan Liu, Sui Li, Dianlin Hu, Jianjun Wang, Wenjin Qin, Chen Liu, Peng Zhang
Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction. IEEE Trans. Computational Imaging 10 (2024)
Xiaoyang Cheng, Weichao Kong, Xin Luo, Wenjin Qin, Feng Zhang, Jianjun Wang
Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery. Signal Process. 219 (2024)
Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. IEEE Trans. Image Process. 33 (2024)
Kai Huang, Weichao Kong, Min Zhou, Wenjin Qin, Feng Zhang, Jianjun Wang
Enhanced Low-Rank Tensor Recovery Fusing Reweighted Tensor Correlated Total Variation Regularization for Image Denoising. J. Sci. Comput. 99 (3) (2024)
Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Jianjun Wang, Jingyao Hou, Yonina C. Eldar
Tensor Robust Principal Component Analysis From Multilevel Quantized Observations. IEEE Trans. Inf. Theory 69 (1) (2023)
Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Hao Tan, Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang
High-Order Tensor Recovery Coupling Multilayer Subspace Priori with Application in Video Restoration. ACM Multimedia (2023)
Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. AAAI (2023)
Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. Knowl. Based Syst. 261 (2023)
Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng
Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang
Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. Pattern Recognit. 140 (2023)
Feng Zhang, Hailin Wang, Wenjin Qin, Xile Zhao, Jianjun Wang
Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting. Appl. Intell. 53 (20) (2023)
Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang
Low-Rank High-Order Tensor Completion With Applications in Visual Data. IEEE Trans. Image Process. 31 (2022)
Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng
Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang
Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation. ICASSP (2022)
Xin Luo, Hao Wu, Zhi Wang, Jianjun Wang, Deyu Meng
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Xinling Liu, Jingyao Hou, Jianjun Wang
Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. IEEE Signal Process. Lett. 29 (2022)
Jianwen Huang, Sanfu Wang, Jianjun Wang, Feng Zhang, Hailin Wang, Jinping Jia
An optimal condition of robust low-rank matrices recovery. Int. J. Wirel. Mob. Comput. 21 (1) (2021)
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
Perturbation analysis of low-rank matrix stable recovery. Int. J. Wavelets Multiresolution Inf. Process. 19 (4) (2021)
Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu
Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang
Tensor restricted isometry property analysis for a large class of random measurement ensembles. Sci. China Inf. Sci. 64 (1) (2021)
Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang
Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP (2020)
Can Jiang, Feng Zhang, Jianjun Wang, Chan-Yun Yang, Wendong Wang
Robust principal component analysis with intra-block correlation. Neurocomputing 386 (2020)
Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP (2020)
Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
An Optimal Condition of Robust Low-rank Matrices Recovery. CoRR (2020)
Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang
Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. IEEE Signal Process. Lett. 27 (2020)
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
An analysis of noise folding for low-rank matrix recovery. CoRR (2020)
Jianwen Huang, Hailin Wang, Feng Zhang, Jianjun Wang
The block mutual coherence property condition for signal recovery. CoRR (2020)
Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang
RIP-based performance guarantee for low-tubal-rank tensor recovery. J. Comput. Appl. Math. 374 (2020)
Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang
The high-order block RIP for non-convex block-sparse compressed sensing. CoRR (2020)
Jianwen Huang, Wendong Wang, Feng Zhang, Jianjun Wang
The perturbation analysis of nonconvex low-rank matrix robust recovery. CoRR (2020)
Jianwen Huang, Jianjun Wang, Wendong Wang, Feng Zhang
-minimisation. IET Signal Process. 13 (5) (2019)
Jianjun Wang, Feng Zhang, Jianwen Huang, Wendong Wang, Changan Yuan
A nonconvex penalty function with integral convolution approximation for compressed sensing. Signal Process. 158 (2019)
Gang Chen, Jianjun Wang, Feng Zhang, Wendong Wang
Image denoising in impulsive noise via weighted Schatten p -norm regularization. J. Electronic Imaging 28 (1) (2019)
Qingrong Feng, Jianjun Wang, Feng Zhang
Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise. IET Commun. 13 (2) (2019)
Zhi Wang, Wendong Wang, Jianjun Wang, Siqi Chen
Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator. Neurocomputing 330 (2019)
Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang
RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR (2019)
Wendong Wang, Jianjun Wang
Deterministic Analysis of Weighted BPDN With Partially Known Support Information. CoRR (2019)
Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang
Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. IEEE Access 7 (2019)
Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles. CoRR (2019)
Jiayi Liu, Jianjun Wang, Feng Zhang
Reconstruction analysis of block-sparse signal via truncated ℓ 2 / ℓ 1 -minimisation with redundant dictionaries. IET Signal Process. 12 (8) (2018)
Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
-Analysis Approach. IEEE Access 6 (2018)
Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang
-Norm Minimization and Beyond. CoRR (2018)
Zhi Wang, Jianjun Wang, Wendong Wang, Chao Gao, Siqi Chen
A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov's Rule. IEEE Access 6 (2018)
Zhi Wang, Jianjun Wang, Wendong Wang
基于子空间阈值追踪的矩阵修补算法 (Matrix Completion Algorithm Based on Subspace Thresholding Pursuit). 计算机科学 45 (6) (2018)
Wendong Wang, Jianjun Wang, Zili Zhang
Block-sparse signal recovery via ℓ 2 / ℓ 1 - 2 minimisation method. IET Signal Process. 12 (4) (2018)
Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang
Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access 6 (2018)
Chunyan Liu, Jianjun Wang, Wendong Wang, Zhi Wang
Non-convex block-sparse compressed sensing with redundant dictionaries. IET Signal Process. 11 (2) (2017)
Wendong Wang, Jianjun Wang, Zili Zhang
Robust Signal Recovery With Highly Coherent Measurement Matrices. IEEE Signal Process. Lett. 24 (3) (2017)
Shiying He, Yao Wang, Jianjun Wang, Zongben Xu
Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Process. 10 (7) (2016)
Jing Zhang, Jianjun Wang, Wendong Wang
A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization. Int. J. Wavelets Multiresolution Inf. Process. 14 (4) (2016)
Jia Cai, Yi Tang, Jianjun Wang
Kernel canonical correlation analysis via gradient descent. Neurocomputing 182 (2016)
Jianjun Yuan, Jianjun Wang
Perona-Malik Model with a New Diffusion Coefficient for Image Denoising. Int. J. Image Graph. 16 (2) (2016)
Jianjun Wang, Jing Zhang, Wendong Wang, Chan-Yun Yang
A perturbation analysis of nonconvex block-sparse compressed sensing. Commun. Nonlinear Sci. Numer. Simul. 29 (Issues) (2015)
Yao Wang, Jianjun Wang, Zongben Xu
Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. 104 (2014)
Jianjun Yuan, Jianjun Wang, Lipei Liu
Active Contours Driven by Local Intensity and Local Gradient Fitting energies. Int. J. Pattern Recognit. Artif. Intell. 28 (3) (2014)
Yao Wang, Jianjun Wang, Zongben Xu
(0 < q ≤ 1) norm minimization. EURASIP J. Adv. Signal Process. 2013 (2013)
Jianjun Wang, Zuoxiang Peng, Shukai Duan, Jia Jing
Weights. J. Appl. Math. 2012 (2012)
Jianjun Wang, Weihua Xu, Bin Zou
Constructive Estimation of Approximation for trigonometric Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. 10 (3) (2012)
Jianjun Wang, Chan-Yun Yang, Jia Jing
Estimation of Approximating Rate for Neural Network inLwp Spaces. J. Appl. Math. 2012 (2012)
Jianjun Wang, Baili Chen, Chan-Yun Yang
Approximation of algebraic and trigonometric polynomials by feedforward neural networks. Neural Comput. Appl. 21 (1) (2012)
Jianjun Wang, Zongben Xu
Neural networks and the best trigomometric approximation. J. Syst. Sci. Complex. 24 (2) (2011)
Jianjun Wang, Zongben Xu
New study on neural networks: the essential order of approximation. Neural Networks 23 (5) (2010)
Jie Xu, Bin Zou, Jianjun Wang
Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) (2009)
Jianjun Wang, Bin Zou, Baili Chen
How to Measure the Essential Approximation Capability of a FNN. ICNC (2) (2009)
Jianjun Wang, Hua Huang, Zhangtao Luo, Baili Chen
Estimation of Covering Number in Learning Theory. SKG (2009)
Chan-Yun Yang, Jianjun Wang, Jr-Syu Yang, Guo-Ding Yu
Imbalanced SVM Learning with Margin Compensation. ISNN (1) (2008)
Jianjun Wang, Zongben Xu, Jia Jing
Constructive Trigonometric Function Approximation of Neural Networks. SKG (2007)
Zongben Xu, Jianjun Wang, Deyu Meng
Spaces. ISNN (1) (2006)
Zongben Xu, Jianjun Wang
The essential order of approximation for nearly exponential type neural networks. Sci. China Ser. F Inf. Sci. 49 (4) (2006)
Jianjun Wang, Zongben Xu, Weijun Xu
. ISNN (1) (2004)