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Teng-Yu Ji
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2020 – today
- 2024
- [j22]Dong-Lin Sun
, Teng-Yu Ji
A New Sparse Collaborative Low-Rank Prior Knowledge Representation for Thick Cloud Removal in Remote Sensing Images. Remote. Sens. 16(9): 1518 (2024) - [j21]Shuang Xu
Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c2]Ben-Zheng Li, Teng-Yu Ji, Jian-Li Wang:
Hyperspectral Images Mixed Noise Removal via Group-Tube Transform Induced Collaborative Sparsity and Low-Rankness. IGARSS 2024: 7618-7621 - 2023
- [j20]Yifan Wang, Shuang Xu, Xiangyong Cao, Qiao Ke, Teng-Yu Ji, Xiangxiang Zhu:
Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior. Remote. Sens. 15(8): 1970 (2023) - [j19]Ben-Zheng Li
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. SIAM J. Imaging Sci. 16(3): 1370-1397 (2023) - [j18]Jian Kang
SAR time series despeckling via nonlocal matrix decomposition in logarithm domain. Signal Process. 209: 109040 (2023) - 2022
- [j17]Ben-Zheng Li
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. J. Sci. Comput. 92(3): 83 (2022) - [j16]Zhanyu Zhu
SAR Time-Series Despeckling via Nonlocal Total Variation Regularized Robust PCA. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j15]Teng-Yu Ji
Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data. IEEE Signal Process. Lett. 29: 1162-1166 (2022) - [j14]Teng-Yu Ji
A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j13]Xin Li, Ting-Zhu Huang, Xi-Le Zhao
Adaptive total variation and second-order total variation-based model for low-rank tensor completion. Numer. Algorithms 86(1): 1-24 (2021) - [j12]Xuan-Qi Wang
NSTMR: Super Resolution of Sentinel-2 Images Using Nonlocal Nonconvex Surrogate of Tensor Multirank. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5694-5706 (2021) - [c1]Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang:
Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior. IGARSS 2021: 4119-4122 - [i2]Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiongjun Zhang, Ting-Zhu Huang:
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. CoRR abs/2110.08774 (2021) - 2020
- [j11]Jinghua Yang, Xi-Le Zhao
Low-rank tensor train for tensor robust principal component analysis. Appl. Math. Comput. 367 (2020) - [j10]Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Teng-Yu Ji:
A convex single image dehazing model via sparse dark channel prior. Appl. Math. Comput. 375: 125085 (2020) - [j9]Yu-Bang Zheng
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. Inf. Sci. 532: 170-189 (2020) - [j8]Yu-Bang Zheng
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. IEEE Trans. Geosci. Remote. Sens. 58(1): 734-749 (2020)
2010 – 2019
- 2019
- [j7]Xi-Le Zhao
Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization. IEEE Access 7: 131888-131901 (2019) - [j6]Xiao-Tong Li, Xi-Le Zhao
Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. Neurocomputing 367: 1-12 (2019) - [j5]Meng Ding, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Jinghua Yang:
Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation. J. Sci. Comput. 81(2): 941-964 (2019) - [j4]Wen-Hao Xu, Xi-Le Zhao
Laplace function based nonconvex surrogate for low-rank tensor completion. Signal Process. Image Commun. 73: 62-69 (2019) - 2018
- [j3]Tai-Xiang Jiang, Ting-Zhu Huang
Matrix factorization for low-rank tensor completion using framelet prior. Inf. Sci. 436-437: 403-417 (2018) - [j2]Teng-Yu Ji
Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images' Inpainting. IEEE Trans. Geosci. Remote. Sens. 56(6): 3047-3061 (2018) - [i1]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. CoRR abs/1812.00688 (2018) - 2016
- [j1]Teng-Yu Ji
Tensor completion using total variation and low-rank matrix factorization. Inf. Sci. 326: 243-257 (2016)
Coauthor Index
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