Feng Zhang

According to our database, Feng Zhang authored at least 35 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

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

Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang

Pattern Recognit., August, 2023

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

Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo

Knowl. Based Syst., 2023

Signal recovery adapted to a dictionary from non-convex compressed sensing.

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

Int. J. Comput. Sci. Math., 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

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

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

A New Sufficient Condition for Non-Convex Sparse Recovery via Weighted $\ell _{r}\!-\!\ell _{1}$ Minimization.

Jianwen Huang, Feng Zhang, Jinping Jia

IEEE Signal Process. Lett., 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

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

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

2020

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

Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang

IEEE Signal Process. Lett., 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

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

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

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

Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang

IEEE Access, 2019

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

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

Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang

IEEE Access, 2018