Feng Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Signal Recovery

Rank Minimization

Top Venues

IEEE Signal Process. Lett.

IEEE Trans. Image Process.

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)
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)
Jianwen Huang, Feng Zhang, Xinling Liu, Jinping Jia, Runke Wang
Signal recovery adapted to a dictionary from non-convex compressed sensing. Int. J. Comput. Sci. Math. 18 (3) (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)
Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. Knowl. Based Syst. 261 (2023)
Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang
Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. Pattern Recognit. 140 (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)
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)
Jianwen Huang, Feng Zhang, Jinping Jia
A New Sufficient Condition for Non-Convex Sparse Recovery via Weighted $\ell _{r}\!-\!\ell _{1}$ Minimization. IEEE Signal Process. Lett. 29 (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)
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, 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)
Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang
RIP-based performance guarantee for low-tubal-rank tensor recovery. 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)
Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang
Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access 6 (2018)