New Sufficient Conditions of Signal Recovery With Tight Frames via l1-Analysis Approach. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (IEEE Access, 2018)

Perturbations of Compressed Data Separation With Redundant Tight Frames. - Feng Zhang 023; Jianjun Wang 003; Yao Wang 003; Jianwen Huang; Wendong Wang 001 (IEEE Access, 2018)

Coherence-Based Performance Guarantee of Regularized 𝓁1-Norm Minimization and Beyond. - Wendong Wang 001; Feng Zhang 023; Zhi Wang 015; Jianjun Wang 003 (CoRR, 2018)

Reconstruction analysis of block-sparse signal via truncated ℓ 2 / ℓ 1 -minimisation with redundant dictionaries. - Jiayi Liu; Jianjun Wang 003; Feng Zhang 023 (IET Signal Process., 2018)

Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond. - Wendong Wang 001; Feng Zhang 023; Zhi Wang 015; Jianjun Wang 003 (IEEE Access, 2019)

Block-sparse signal recovery based on truncated ℓ 1 minimisation in non-Gaussian noise. - Qingrong Feng; Jianjun Wang 003; Feng Zhang 023 (IET Commun., 2019)

Sharp sufficient condition of block signal recovery via l 2/l 1-minimisation. - Jianwen Huang; Jianjun Wang 003; Wendong Wang 001; Feng Zhang 023 (IET Signal Process., 2019)

Image denoising in impulsive noise via weighted Schatten p -norm regularization. - Gang Chen; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (J. Electronic Imaging, 2019)

A nonconvex penalty function with integral convolution approximation for compressed sensing. - Jianjun Wang 003; Feng Zhang 023; Jianwen Huang; Wendong Wang 001; Changan Yuan 001 (Signal Process., 2019)

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. - Jingyao Hou; Feng Zhang 023; Yao Wang 003; Jianjun Wang 003 (ICASSP, 2020)

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. - Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Yao Wang 003 (ICASSP, 2020)

An analysis of noise folding for low-rank matrix recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Wendong Wang 001 (CoRR, 2020)

An Optimal Condition of Robust Low-rank Matrices Recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Wendong Wang 001 (CoRR, 2020)

The perturbation analysis of nonconvex low-rank matrix robust recovery. - Jianwen Huang; Wendong Wang 001; Feng Zhang 023; Jianjun Wang 003 (CoRR, 2020)

Robust principal component analysis with intra-block correlation. - Can Jiang; Feng Zhang 023; Jianjun Wang 003; Chan-Yun Yang; Wendong Wang 001 (Neurocomputing, 2020)

RIP-based performance guarantee for low-tubal-rank tensor recovery. - Feng Zhang 023; Wendong Wang 001; Jianwen Huang; Jianjun Wang 003; Yao Wang 003 (J. Comput. Appl. Math., 2020)

Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. - Feng Zhang 023; Jingyao Hou; Jianjun Wang 003; Wendong Wang 001 (IEEE Signal Process. Lett., 2020)

Tensor restricted isometry property analysis for a large class of random measurement ensembles. - Feng Zhang 023; Wendong Wang 001; Jingyao Hou; Jianjun Wang 003; Jianwen Huang (Sci. China Inf. Sci., 2021)

An optimal condition of robust low-rank matrices recovery. - Jianwen Huang; Sanfu Wang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Jinping Jia (Int. J. Wirel. Mob. Comput., 2021)

Perturbation analysis of low-rank matrix stable recovery. - Jianwen Huang; Jianjun Wang 003; Feng Zhang 023; Hailin Wang; Wendong Wang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Robust low-rank tensor reconstruction using high-order t-SVD. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Mingwei Dai; Jianjun Wang 003 (J. Electronic Imaging, 2021)

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. - Feng Zhang 023; Jianjun Wang 003; Wendong Wang 001; Chen Xu 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. - Jingyao Hou; Feng Zhang 023; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A New Sufficient Condition for Non-Convex Sparse Recovery via Weighted $ ell _{r} !- ! ell _{1}$ Minimization. - Jianwen Huang; Feng Zhang 023; Jinping Jia (IEEE Signal Process. Lett., 2022)

Low-Rank High-Order Tensor Completion With Applications in Visual Data. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Xin Luo 001; Tingwen Huang (IEEE Trans. Image Process., 2022)

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. - Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Tingwen Huang; Jianwen Huang; Xinling Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

High-Order Tensor Recovery Coupling Multilayer Subspace Priori with Application in Video Restoration. - Hao Tan 004; Weichao Kong; Feng Zhang 023; Wenjin Qin; Jianjun Wang 003 (ACM Multimedia, 2023)

Signal recovery adapted to a dictionary from non-convex compressed sensing. - Jianwen Huang; Feng Zhang 023; Xinling Liu; Jinping Jia; Runke Wang (Int. J. Comput. Sci. Math., 2023)

Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery. - Feng Zhang 023; Lihao Yang; Jianjun Wang 003; Xin Luo 001 (Knowl. Based Syst., 2023)

Low-Tubal-Rank tensor recovery with multilayer subspace prior learning. - Weichao Kong; Feng Zhang 023; Wenjin Qin; Jianjun Wang 003 (Pattern Recognit., 2023)

Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting. - Feng Zhang 023; Hailin Wang; Wenjin Qin; Xile Zhao; Jianjun Wang 003 (Appl. Intell., 2023)

Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery. - Xiaoyang Cheng; Weichao Kong; Xin Luo 001; Wenjin Qin; Feng Zhang 023; Jianjun Wang 003 (Signal Process., 2024)

Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Xiangyong Cao; Xi-Le Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation. - Wenjin Qin; Hailin Wang; Feng Zhang 023; Weijun Ma; Jianjun Wang 003; Tingwen Huang (IEEE Trans. Image Process., 2024)

Low-tubal-rank tensor completion via local and nonlocal knowledge. - Weichao Kong; Feng Zhang 023; Wenjin Qin; Qingrong Feng; Jianjun Wang 003 (Inf. Sci., 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 023; Jianjun Wang 003 (J. Sci. Comput., 2024)

The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery. - Jianwen Huang; Feng Zhang 023; Jianjun Wang 003; Xinling Liu; Jinping Jia (IEEE Trans. Neural Networks Learn. Syst., 2024)

Performance analysis of unconstrained ℓp minimization for sparse recovery. - Jianwen Huang; Xinling Liu; Feng Zhang 023; Guowang Luo; Runbin Tang (Signal Process., 2025)