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ORCIDFeng Zhang 0023
Person information
- affiliation: Southwest University, School of Mathematics and Statistics, Chongqing, China
Other persons with the same name
- Feng Zhang — disambiguation page
- Feng Zhang 0001
![[0000-0001-9805-395X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9805-395X")
— Queen's University, Kingston, ON, Canada - Feng Zhang 0002 — Shandong University, Jinan, China
- Feng Zhang 0003 — Nanjing University of Science and Technology, China
- Feng Zhang 0004 — North University of China, Taiyuan, China
- Feng Zhang 0005 — Yulin University, School of Information Engineering, China (and 1 more)
- Feng Zhang 0006 — Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Feng Zhang 0007 — Renmin University of China, Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China (and 1 more)
- Feng Zhang 0008 — Fudan University, School of Life Sciences, China
- Feng Zhang 0009 — Zhejiang University, Institute of Geographic Information Science, School of Earth Sciences, Hangzhou, China
- Feng Zhang 0010 — Shandong Agricultural University, China (and 1 more)
- Feng Zhang 0011 — Beijing Institute of Technology, Department of Electronic Engineering, China
- Feng Zhang 0012 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Feng Zhang 0013 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Feng Zhang 0014 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China (and 2 more)
- Feng Zhang 0015 — University of Connecticut, Department of Computer Science and Engineering, Storrs, CT
- Feng Zhang 0016 — University of Maryland, Electrical and Computer Engineering, College Park, MD, USA
- Feng Zhang 0017 — University of South China, Department of Environmental and Safety Engineering, Hengyang, China (and 1 more)
- Feng Zhang 0018 — Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Feng Zhang 0019 — Fairchild Semiconductor, South Portland, MN, USA (and 1 more)
- Feng Zhang 0020 — Royal Institute of Technology, School of Information and Communication Technology, Stockholm, Sweden
- Feng Zhang 0021 — Hebei University, College of Mathematics and Information Science, China
- Feng Zhang 0022 — Northwestern Polytechnical University, School of Mechanics, Civil Engineering and Architecture, Xi'an, China
- Feng Zhang 0024 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Feng Zhang 0025 — Southwest Jiaotong University, School of Mathematics, Chengdu, China
- Feng Zhang 0026 — University of New South Wales, Sydney, Australia
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2020 – today
- 2024
[j29]Weichao Kong, Feng Zhang, Wenjin Qin, Qingrong Feng, Jianjun Wang:
Low-tubal-rank tensor completion via local and nonlocal knowledge. Inf. Sci. 657: 120002 (2024)- [j28]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): 69 (2024) - [j27]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: 109407 (2024) - [j26]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: 2835-2850 (2024) - [j25]Jianwen Huang, Feng Zhang, Jianjun Wang, Xinling Liu, Jinping Jia:
The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15710-15723 (2024) - 2023
- [j24]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): 23124-23146 (2023) - [j23]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): 224-234 (2023) - [j22]Feng Zhang, Lihao Yang, Jianjun Wang, Xin Luo:
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. Knowl. Based Syst. 261: 110198 (2023) - [j21]Weichao Kong, Feng Zhang, Wenjin Qin, Jianjun Wang:
Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. Pattern Recognit. 140: 109545 (2023) - [c3]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: 1212-1220 - [i7]Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang:
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. CoRR abs/2305.11495 (2023) - 2022
- [j20]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): 4355-4373 (2022) - [j19]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: 1555-1558 (2022) - [j18]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: 2433-2448 (2022) - [j17]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): 3305-3319 (2022) - 2021
- [j16]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) - [j15]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): 11-25 (2021) - [j14]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): 2050091:1-2050091:19 (2021) - [j13]Wenjin Qin, Hailin Wang, Feng Zhang, Mingwei Dai, Jianjun Wang:
Robust low-rank tensor reconstruction using high-order t-SVD. J. Electronic Imaging 30(6) (2021) - [j12]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): 3492-3507 (2021) - 2020
- [j11]Can Jiang, Feng Zhang, Jianjun Wang, Chan-Yun Yang, Wendong Wang:
Robust principal component analysis with intra-block correlation. Neurocomputing 386: 165-178 (2020) - [j10]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: 112767 (2020) - [j9]Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang:
Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. IEEE Signal Process. Lett. 27: 540-544 (2020) - [c2]Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang:
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP 2020: 3297-3301 - [c1]Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang:
Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP 2020: 3302-3306 - [i6]Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang:
An analysis of noise folding for low-rank matrix recovery. CoRR abs/2003.03180 (2020) - [i5]Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang:
An Optimal Condition of Robust Low-rank Matrices Recovery. CoRR abs/2003.04766 (2020) - [i4]Jianwen Huang, Wendong Wang, Feng Zhang, Jianjun Wang:
The perturbation analysis of nonconvex low-rank matrix robust recovery. CoRR abs/2006.06283 (2020)
2010 – 2019
- 2019
- [j8]Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang:
Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. IEEE Access 7: 173216-173229 (2019) - [j7]Qingrong Feng, Jianjun Wang, Feng Zhang:
Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise. IET Commun. 13(2): 251-258 (2019) - [j6]Jianwen Huang, Jianjun Wang, Wendong Wang, Feng Zhang:
Sharp sufficient condition of block signal recovery via l 2/l 1-minimisation. IET Signal Process. 13(5): 495-505 (2019) - [j5]Gang Chen, Jianjun Wang, Feng Zhang, Wendong Wang:
Image denoising in impulsive noise via weighted Schatten p -norm regularization. J. Electronic Imaging 28(1): 013044 (2019) - [j4]Jianjun Wang, Feng Zhang, Jianwen Huang, Wendong Wang, Changan Yuan:
A nonconvex penalty function with integral convolution approximation for compressed sensing. Signal Process. 158: 116-128 (2019) - [i3]Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang:
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles. CoRR abs/1906.01198 (2019) - [i2]Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang:
RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR abs/1906.01774 (2019) - 2018
- [j3]Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang:
New Sufficient Conditions of Signal Recovery With Tight Frames via l1-Analysis Approach. IEEE Access 6: 26718-26728 (2018) - [j2]Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang:
Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access 6: 35844-35856 (2018) - [j1]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): 1034-1042 (2018) - [i1]Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang:
Coherence-Based Performance Guarantee of Regularized 𝓁1-Norm Minimization and Beyond. CoRR abs/1812.03739 (2018)
Coauthor Index
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