Jianjun Wang

发表

Low Rank Tensor Completion via Partial Sum Minimization of Singular Values

Feng Zhang, Jianjun Wang, Jia Jing, 2016 .

One-bit compressed sensing via ℓp(0 < p < 1)-minimization method

F. Zhang, Jianjun Wang, Jingyao Hou, 2020, Inverse Problems.

Group sparse recovery in impulsive noise via alternating direction method of multipliers

Feng Zhang, Jianjun Wang, Jianwen Huang, 2018, Applied and Computational Harmonic Analysis.

Improved sufficient condition of ℓ 1–2 ‐minimisation for robust signal recovery

Jianjun Wang, Wendong Wang, 2019, Electronics Letters.

Robust recovery of signals with partially known support information using weighted BPDN

Jianjun Wang, Wendong Wang, 2020 .

New Sufficient Conditions of Robust Recovery for Low-Rank Matrices

F. Zhang, Jianjun Wang, Jianwen Huang, 2018 .

A Note on the Block Restricted Isometry Property Condition

Jianjun Wang, Jianwen Huang, Wendong Wang, 2017 .

Low-rank matrix recovery via regularized nuclear norm minimization

Feng Zhang, Jianjun Wang, Wendong Wang, 2019, 1903.01053.

The block mutual coherence property condition for signal recovery pdf

Feng Zhang, Jianwen Huang, Jianjun Wang, 2020, ArXiv.

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements

Deyu Meng, Jianjun Wang, Jingyao Hou, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Deyu Meng, Jianjun Wang, Xin Luo, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Xin Luo, Jianjun Wang, Zhi Wang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

Jianjun Wang, Feng Zhang, Lihao Yang, 2022, Knowl. Based Syst..

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

Deyu Meng, Jianjun Wang, Yao Wang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations

Yonina C. Eldar, Jianjun Wang, Jingyao Hou, 2023, IEEE Transactions on Information Theory.

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness

Jianjun Wang, Jingyao Hou, Xinling Liu, 2022, IEEE Signal Processing Letters.

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery

Tingwen Huang, Jianjun Wang, Jianwen Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

Jianjun Wang, Wendong Wang, Zhi Wang, 2021, International Journal of Machine Learning and Cybernetics.

A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule

Jianjun Wang, Chao Gao, Wendong Wang, 2018, IEEE Access.

A Fast and Robust TSVM for Pattern Classification pdf

Jian-Jun Wang, Bin-Bin Gao, Jianjun Wang, 2017, ArXiv.

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

Feng-Li Lian, Jianjun Wang, Chan-Yun Yang, 2015, Neurocomputing.

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness

Deyu Meng, Wenjin Qin, Jianjun Wang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

One-bit compressed sensing via total variation minimization method

Jianjun Wang, Jingyao Hou, Yuxiang Zhong, 2023, Signal Processing.

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

Gang Chen, Jianjun Wang, Feng Zhang, 2019, J. Electronic Imaging.

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

Jianjun Yuan, Jianjun Wang, Jianjun Wang, 2016, Int. J. Image Graph..

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

Feng Zhang, Wenjin Qin, Jianjun Wang, 2022, IEEE Transactions on Image Processing.

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

Feng Zhang, Chen Xu, Jianjun Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Jianjun Wang, Yao Wang, Feng Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Constructive Estimation of Approximation for trigonometric Neural Networks

Weihua Xu, Jianjun Wang, Bin Zou, 2012, Int. J. Wavelets Multiresolution Inf. Process..

Approximation of algebraic and trigonometric polynomials by feedforward neural networks

Chan-Yun Yang, Jianjun Wang, Baili Chen, 2012, Neural Computing and Applications.

How to Measure the Essential Approximation Capability of a FNN

Jianjun Wang, Bin Zou, Baili Chen, 2009, 2009 Fifth International Conference on Natural Computation.

Estimation of Approximating Rate for Neural Network inLwp Spaces

Jianjun Wang, Chan-Yun Yang, Jia Jing, 2012, J. Appl. Math..

A coherence theory of nonconvex block-sparse compressed sensing

Yao Wang, Jianjun Wang, Wendong Wang, 2016 .

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

Jianjun Wang, Hailin Wang, Zejia Wen, 2021, J. Electronic Imaging.

Imbalanced SVM Learning with Margin Compensation

Jianjun Wang, Jr-Syu Yang, Chan-Yun Yang, 2008, ISNN.

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

Wenjin Qin, Jianjun Wang, Hailin Wang, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Wenjin Qin, Jianjun Wang, Mingwei Dai, 2021, J. Electronic Imaging.

Margin calibration in SVM class-imbalanced learning

Jianjun Wang, Jr-Syu Yang, Chan-Yun Yang, 2009, Neurocomputing.

One-bit tensor completion via transformed tensor singular value decomposition

Jingyao Hou, Jianjun Wang, Feng Zhang, 2021, Applied Mathematical Modelling.

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

Wenjin Qin, Jianjun Wang, Weichao Kong, 2023, Pattern Recognit..

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

Jianjun Wang, Zhi Wang, Wendong Wang, 2018, ArXiv.

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

You Zhao, Xing He, Jianjun Wang, 2018, Neurocomputing.

Robust Signal Recovery With Highly Coherent Measurement Matrices

Zili Zhang, Wendong Wang, Jianjun Wang, 2017, IEEE Signal Processing Letters.

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

Jianjun Wang, Feng Zhang, Wendong Wang, 2019, IEEE Access.

Active Contour Based on Local Statistic Information and an Attractive Force for Ultrasound Image Segmentation

Jianjun Wang, Jianjun Yuan, Jianjun Wang, 2017 .

Active Contours Driven by Local Intensity and Local Gradient Fitting energies

Jianjun Yuan, Lipei Liu, Jianjun Wang, 2014, Int. J. Pattern Recognit. Artif. Intell..

Perturbations of Compressed Data Separation With Redundant Tight Frames

Feng Zhang, Wendong Wang, Yao Wang, 2017, IEEE Access.

Non-Convex Sparse Deviation Modeling Via Generative Models

Haiquan Qiu, Yao Wang, Jianjun Wang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jianjun Wang, Yao Wang, Feng Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jianjun Wang, Feng Zhang, Jianwen Huang, 2019, Analysis and Applications.

Deterministic Analysis of Weighted BPDN With Partially Known Support Information pdf

Wendong Wang, Jianjun Wang, Jianjun Wang, 2019, ArXiv.

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

Feng Zhang, Jianjun Wang, Qingrong Feng, 2019, IET Commun..

Sparse signal recovery with prior information by iterative reweighted least squares algorithm

Jianjun Wang, Wendong Wang, Nianci Feng, 2018 .

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

Zili Zhang, Wendong Wang, Jianjun Wang, 2017, IET Signal Process..

Nonlinear Compressed Sensing Based on Kernel Sparse Representation

Yao Wang, Jianjun Wang, Feng Nie, 2017, 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).

Non-convex block-sparse compressed sensing with redundant dictionaries

Wendong Wang, Jianjun Wang, Chunyan Liu, 2017, IET Signal Process..

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

Zongben Xu, Jianjun Wang, Yao Wang, 2016, IET Signal Process..

Signal Space CoSaMP for sparse recovery with partially known support

Yao Wang, Jianjun Wang, Shiying He, 2016, 2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

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

Zongben Xu, Jianjun Wang, Yao Wang, 2014, Signal Process..

Robust Reconstruction of Block Sparse Signals from Adaptively One‐Bit Measurements

Jianwen Huang, Jingyao Hou, Jianjun Wang, 2020 .

A nonconvex penalty function with integral convolution approximation for compressed sensing

Feng Zhang, Wendong Wang, Jianjun Wang, 2019, Signal Process..

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

Jianjun Wang, Ming Tang, Zhi Wang, 2020, Int. J. Mach. Learn. Cybern..

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

Jianjun Wang, Wendong Wang, Zhi Wang, 2019, Neurocomputing.

Group Sparse Recovery in Impulsive Noise Via Adm

Feng Zhang, Wendong Wang, Jianwen Huang, 2018 .