| 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 | 124 | 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 | 71 | 2021 |
| Guaranteed tensor recovery fused low-rankness and smoothness H Wang, J Peng, W Qin, J Wang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10990 …, 2023 | 67 | 2023 |
| Fast noise removal in hyperspectral images via representative coefficient total variation J Peng, H Wang, X Cao, X Liu, X Rui, D Meng IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 48 | 2022 |
| 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 | 13 | 2020 |
| Tensor compressive sensing fused low-rankness and local-smoothness X Liu, J Hou, J Peng, H Wang, D Meng, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8879-8887, 2023 | 12 | 2023 |
| Preconditioning matters: Fast global convergence of non-convex matrix factorization via scaled gradient descent X Jia, H Wang, J Peng, X Feng, D Meng Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Learnable representative coefficient image denoiser for hyperspectral image J Peng, H Wang, X Cao, Q Zhao, J Yao, H Zhang, D Meng IEEE Transactions on Geoscience and Remote Sensing, 2024 | 8 | 2024 |
| Hyperspectral image denoising via nonlocal spectral sparse subspace representation H Wang, J Peng, X Cao, J Wang, Q Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 8 | 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 | 8 | 2021 |
| Tensor recovery from binary measurements fused low-rankness and smoothness J Hou, X Liu, H Wang, K Guo Signal Processing 221, 109480, 2024 | 6 | 2024 |
| Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation W Qin, H Wang, F Zhang, W Ma, J Wang, T Huang IEEE Transactions on Image Processing, 2024 | 6 | 2024 |
| Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting F Zhang, H Wang, W Qin, X Zhao, J Wang Applied Intelligence 53 (20), 23124-23146, 2023 | 6 | 2023 |
| Denoising convolutional neural network inspired via multi-layer convolutional sparse coding Z Wen, H Wang, Y Gong, J Wang Journal of Electronic Imaging 30 (2), 023007-023007, 2021 | 6 | 2021 |
| 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 |
| An analysis of noise folding for low-rank matrix recovery J Huang, F Zhang, J Wang, H Wang, X Liu, J Jia Analysis and Applications 21 (02), 429-451, 2023 | 4 | 2023 |
| Robust high-order tensor recovery via nonconvex low-rank approximation W Qin, H Wang, W Ma, J Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Low-rank tensor completion with 3-d spatiotemporal transform for traffic data imputation H Shu, H Wang, J Peng, D Meng IEEE Transactions on Intelligent Transportation Systems, 2024 | 3 | 2024 |
| Fluorescence microscopy images denoising via deep convolutional sparse coding G Chen, J Wang, H Wang, J Wen, Y Gao, Y Xu Signal Processing: Image Communication 117, 117003, 2023 | 3 | 2023 |
| Non-Convex Sparse Deviation Modeling Via Generative Models Y Yang, H Wang, H Qiu, J Wang, Y Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
Jianjun WangSWU Prof.Dirección de correo verificada de swu.edu.cn
