| Low-rank high-order tensor completion with applications in visual data W Qin, H Wang, F Zhang, J Wang, X Luo, T Huang IEEE Transactions on Image Processing 31, 2433-2448, 2022 | 61 | 2022 |
| Generalized nonconvex approach for low-tubal-rank tensor recovery H Wang, F Zhang, J Wang, T Huang, J Huang, X Liu IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3305-3319, 2021 | 49 | 2021 |
| Low-tubal-rank plus sparse tensor recovery with prior subspace information F Zhang, J Wang, W Wang, C Xu IEEE transactions on pattern analysis and machine intelligence 43 (10), 3492 …, 2020 | 46 | 2020 |
| Robust low-tubal-rank tensor recovery from binary measurements J Hou, F Zhang, H Qiu, J Wang, Y Wang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4355-4373, 2021 | 36 | 2021 |
| A nonconvex penalty function with integral convolution approximation for compressed sensing J Wang, F Zhang, J Huang, W Wang, C Yuan Signal Processing 158, 116-128, 2019 | 24 | 2019 |
| Low-rank matrix recovery via regularized nuclear norm minimization W Wang, F Zhang, J Wang Applied and Computational Harmonic Analysis 54, 1-19, 2021 | 17 | 2021 |
| Group sparse recovery in impulsive noise via alternating direction method of multipliers J Wang, J Huang, F Zhang, W Wang Applied and Computational Harmonic Analysis 49 (3), 831-862, 2020 | 17 | 2020 |
| RIP-based performance guarantee for low-tubal-rank tensor recovery F Zhang, W Wang, J Huang, J Wang, Y Wang Journal of Computational and Applied Mathematics 374, 112767, 2020 | 17 | 2020 |
| Sharp sufficient condition of block signal recovery via l2 /l1 ‐minimisation J Huang, J Wang, W Wang, F Zhang IET Signal Processing 13 (5), 495-505, 2019 | 13 | 2019 |
| Estimating structural missing values via low-tubal-rank tensor completion H Wang, F Zhang, J Wang, Y Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| One-bit compressed sensing via ℓp (0< p< 1)-minimization method J Hou, J Wang, F Zhang, J Huang Inverse Problems 36 (5), 055005, 2020 | 11 | 2020 |
| One-bit tensor completion via transformed tensor singular value decomposition J Hou, F Zhang, J Wang Applied Mathematical Modelling 95, 760-782, 2021 | 9 | 2021 |
| Tensor restricted isometry property analysis for a large class of random measurement ensembles F Zhang, W Wang, J Hou, J Wang, J Huang Science China. Information Sciences 64 (1), 119101, 2021 | 9 | 2021 |
| Stable Recovery of Sparse Signals With Non-convex Weighted г-Norm Minus 1-Norm J Huanga, F Zhangb, X Liuc, J Wangb | 7 | 2022 |
| Low-Tubal-Rank tensor recovery with multilayer subspace prior learning W Kong, F Zhang, W Qin, J Wang Pattern Recognition 140, 109545, 2023 | 6 | 2023 |
| Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery F Zhang, L Yang, J Wang, X Luo Knowledge-Based Systems 261, 110198, 2023 | 6 | 2023 |
| Robust low-rank tensor reconstruction using high-order t-SVD W Qin, H Wang, F Zhang, M Dai, J Wang Journal of Electronic Imaging 30 (6), 063016-063016, 2021 | 6 | 2021 |
| Uniqueness guarantee of solutions of tensor tubal-rank minimization problem F Zhang, J Hou, J Wang, W Wang IEEE Signal Processing Letters 27, 540-544, 2020 | 6 | 2020 |
| Perturbation analysis of low-rank matrix stable recovery J Huang, J Wang, F Zhang, H Wang, W Wang International Journal of Wavelets, Multiresolution and Information …, 2021 | 5 | 2021 |
| Coherence-based robust analysis of basis pursuit de-noising and beyond W Wang, F Zhang, Z Wang, J Wang IEEE Access 7, 173216-173229, 2019 | 5 | 2019 |
