| Image restoration via simultaneous nonlocal self-similarity priors Z Zha, X Yuan, J Zhou, C Zhu, B Wen IEEE Transactions on Image Processing 29, 8561-8576, 2020 | 130 | 2020 |
| A benchmark for sparse coding: When group sparsity meets rank minimization Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu IEEE Transactions on Image Processing 29, 5094-5109, 2020 | 111 | 2020 |
| Group sparsity residual constraint with non-local priors for image restoration Z Zha, X Yuan, B Wen, J Zhou, C Zhu IEEE Transactions on Image Processing 29, 8960-8975, 2020 | 103 | 2020 |
| From rank estimation to rank approximation: Rank residual constraint for image restoration Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu IEEE Transactions on Image Processing 29, 3254-3269, 2019 | 103 | 2019 |
| Image restoration using joint patch-group-based sparse representation Z Zha, X Yuan, B Wen, J Zhang, J Zhou, C Zhu IEEE Transactions on Image Processing 29, 7735-7750, 2020 | 101 | 2020 |
| Image restoration via reconciliation of group sparsity and low-rank models Z Zha, B Wen, X Yuan, J Zhou, C Zhu IEEE Transactions on Image Processing 30, 5223-5238, 2021 | 85 | 2021 |
| Analyzing the group sparsity based on the rank minimization methods Z Zha, X Liu, X Huang, H Shi, Y Xu, Q Wang, L Tang, X Zhang 2017 IEEE International Conference on Multimedia and Expo (ICME), 883-888, 2017 | 80 | 2017 |
| Low-rankness guided group sparse representation for image restoration Z Zha, B Wen, X Yuan, J Zhou, C Zhu, AC Kot IEEE transactions on neural networks and learning systems 34 (10), 7593-7607, 2022 | 67 | 2022 |
| Nonconvex Weighted Lp Minimization Based Group Sparse Representation Framework for Image Denoising Qiong Wang, Xinggan Zhang, Yu Wu, Lan Tang, Zhiyuan Zha IEEE Signal Processing Letters 24 (11), 1686-1690, 2017 | 67 | 2017 |
| Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration Z Zha, X Zhang, Y Wu, Q Wang, X Liu, L Tang, X Yuan Neurocomputing 311, 209-224, 2018 | 65 | 2018 |
| Triply complementary priors for image restoration Z Zha, B Wen, X Yuan, JT Zhou, J Zhou, C Zhu IEEE Transactions on Image Processing 30, 5819-5834, 2021 | 61 | 2021 |
| Compressed sensing image reconstruction via adaptive sparse nonlocal regularization Z Zha, X Liu, X Zhang, Y Chen, L Tang, Y Bai, Q Wang, Z Shang The Visual Computer 34, 117-137, 2018 | 52 | 2018 |
| A hybrid structural sparsification error model for image restoration Z Zha, B Wen, X Yuan, J Zhou, C Zhu, AC Kot IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4451-4465, 2021 | 51 | 2021 |
| Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior Z Zha, X Zhang, Q Wang, Y Bai, Y Chen, L Tang, X Liu Neurocomputing 275, 2294-2306, 2018 | 45 | 2018 |
| Image denoising via group sparsity residual constraint Z Zha, X Liu, Z Zhou, X Huang, J Shi, Z Shang, L Tang, Y Bai, Q Wang, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 44 | 2017 |
| Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling Z Zha, B Wen, X Yuan, S Ravishankar, J Zhou, C Zhu IEEE Signal Processing Magazine 40 (1), 32-44, 2023 | 42 | 2023 |
| Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization Z Zha, X Zhang, Q Wang, L Tang, X Liu Neurocomputing 296, 55-63, 2018 | 32 | 2018 |
| Nonconvex structural sparsity residual constraint for image restoration Z Zha, X Yuan, B Wen, J Zhang, C Zhu IEEE Transactions on Cybernetics 52 (11), 12440-12453, 2021 | 26 | 2021 |
| Nonlocal structured sparsity regularization modeling for hyperspectral image denoising Z Zha, B Wen, X Yuan, J Zhang, J Zhou, Y Lu, C Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 22 | 2023 |
| Exploiting non-local priors via self-convolution for highly-efficient image restoration L Guo, Z Zha, S Ravishankar, B Wen IEEE Transactions on Image Processing 31, 1311-1324, 2022 | 21 | 2022 |
Bihan WenAssociate Professor, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证