| Tensor completion using total variation and low-rank matrix factorization TY Ji, TZ Huang, XL Zhao, TH Ma, G Liu Information Sciences 326, 243-257, 2016 | 144 | 2016 |
| Mixed noise removal in hyperspectral image via low-fibered-rank regularization YB Zheng, TZ Huang, XL Zhao, TX Jiang, TH Ma, TY Ji IEEE Transactions on Geoscience and Remote Sensing 58 (1), 734-749, 2019 | 134 | 2019 |
| Low-rank tensor train for tensor robust principal component analysis JH Yang, XL Zhao, TY Ji, TH Ma, TZ Huang Applied Mathematics and Computation 367, 124783, 2020 | 85 | 2020 |
| A non-convex tensor rank approximation for tensor completion TY Ji, TZ Huang, XL Zhao, TH Ma, LJ Deng Applied Mathematical Modelling 48, 410-422, 2017 | 77 | 2017 |
| Matrix factorization for low-rank tensor completion using framelet prior TX Jiang, TZ Huang, XL Zhao, TY Ji, LJ Deng Information Sciences 436, 403-417, 2018 | 73 | 2018 |
| Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery YB Zheng, TZ Huang, XL Zhao, TX Jiang, TY Ji, TH Ma Information Sciences 532, 170-189, 2020 | 58 | 2020 |
| Low-rank tensor completion via smooth matrix factorization YB Zheng, TZ Huang, TY Ji, XL Zhao, TX Jiang, TH Ma Applied Mathematical Modelling 70, 677-695, 2019 | 56 | 2019 |
| Low-rank tensor completion using matrix factorization based on tensor train rank and total variation M Ding, TZ Huang, TY Ji, XL Zhao, JH Yang Journal of Scientific Computing 81, 941-964, 2019 | 52 | 2019 |
| Nonlocal tensor completion for multitemporal remotely sensed images’ inpainting TY Ji, N Yokoya, XX Zhu, TZ Huang IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3047-3061, 2018 | 52 | 2018 |
| Laplace function based nonconvex surrogate for low-rank tensor completion WH Xu, XL Zhao, TY Ji, JQ Miao, TH Ma, S Wang, TZ Huang Signal Processing: Image Communication 73, 62-69, 2019 | 38 | 2019 |
| Low-rank tensor completion via combined non-local self-similarity and low-rank regularization XT Li, XL Zhao, TX Jiang, YB Zheng, TY Ji, TZ Huang Neurocomputing 367, 1-12, 2019 | 30 | 2019 |
| Nonlinear transform induced tensor nuclear norm for tensor completion BZ Li, XL Zhao, TY Ji, XJ Zhang, TZ Huang Journal of Scientific Computing 92 (3), 83, 2022 | 14 | 2022 |
| A unified framework of cloud detection and removal based on low-rank and group sparse regularizations for multitemporal multispectral images TY Ji, D Chu, XL Zhao, D Hong IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 12 | 2022 |
| A convex single image dehazing model via sparse dark channel prior Y Wang, TZ Huang, XL Zhao, LJ Deng, TY Ji Applied Mathematics and Computation 375, 125085, 2020 | 7 | 2020 |
| A new surrogate for tensor multirank and applications in image and video completion TY Ji, TZ Huang, XL Zhao, DL Sun 2017 International Conference on Progress in Informatics and Computing (PIC …, 2017 | 5 | 2017 |
| NSTMR: Super resolution of sentinel-2 images using nonlocal nonconvex surrogate of tensor multirank XQ Wang, TY Ji IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 4 | 2021 |
| Adaptive total variation and second-order total variation-based model for low-rank tensor completion X Li, TZ Huang, XL Zhao, TY Ji, YB Zheng, LJ Deng Numerical Algorithms 86, 1-24, 2021 | 4 | 2021 |
| Low-rank tensor completion via tensor nuclear norm with hybrid smooth regularization XL Zhao, X Nie, YB Zheng, TY Ji, TZ Huang IEEE Access 7, 131888-131901, 2019 | 2 | 2019 |
| SAR Time-Series Despeckling via Nonlocal Total Variation Regularized Robust PCA Z Zhu, J Kang, T Ji, Z Zhang, R Fernandez-Beltran IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 1 | 2022 |
| Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data TY Ji, XL Zhao, DL Sun IEEE Signal Processing Letters 29, 1162-1166, 2022 | 1 | 2022 |
Xi-Le ZhaoUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
