Tensor completion using total variation and low-rank matrix factorization. - Teng-Yu Ji; Ting-Zhu Huang; Xi-Le Zhao; Tian-Hui Ma; Gang Liu (Inf. Sci., 2016)

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Teng-Yu Ji; Tian-Hui Ma (CoRR, 2018)

Matrix factorization for low-rank tensor completion using framelet prior. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Liang-Jian Deng (Inf. Sci., 2018)

Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images' Inpainting. - Teng-Yu Ji; Naoto Yokoya; Xiao Xiang Zhu 001; Ting-Zhu Huang (IEEE Trans. Geosci. Remote. Sens., 2018)

Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization. - Xi-Le Zhao; Xin Nie; Yu-Bang Zheng; Teng-Yu Ji; Ting-Zhu Huang (IEEE Access, 2019)

Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. - Xiao-Tong Li; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Teng-Yu Ji; Ting-Zhu Huang (Neurocomputing, 2019)

Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation. - Meng Ding 002; Ting-Zhu Huang; Teng-Yu Ji; Xi-Le Zhao; Jinghua Yang (J. Sci. Comput., 2019)

Laplace function based nonconvex surrogate for low-rank tensor completion. - Wen-Hao Xu; Xi-Le Zhao; Teng-Yu Ji; Jiaqing Miao; Tian-Hui Ma; Si Wang; Ting-Zhu Huang (Signal Process. Image Commun., 2019)

A convex single image dehazing model via sparse dark channel prior. - Yugang Wang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Teng-Yu Ji (Appl. Math. Comput., 2020)

Low-rank tensor train for tensor robust principal component analysis. - Jinghua Yang; Xi-Le Zhao; Teng-Yu Ji; Tian-Hui Ma; Ting-Zhu Huang (Appl. Math. Comput., 2020)

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Teng-Yu Ji; Tian-Hui Ma (Inf. Sci., 2020)

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Tian-Hui Ma; Teng-Yu Ji (IEEE Trans. Geosci. Remote. Sens., 2020)

Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Tai-Xiang Jiang (IGARSS, 2021)

Adaptive total variation and second-order total variation-based model for low-rank tensor completion. - Xin Li; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Yu-Bang Zheng; Liang-Jian Deng (Numer. Algorithms, 2021)

NSTMR: Super Resolution of Sentinel-2 Images Using Nonlocal Nonconvex Surrogate of Tensor Multirank. - Xuan-Qi Wang; Teng-Yu Ji (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. - Ben-Zheng Li; Xi-Le Zhao; Teng-Yu Ji; Xiongjun Zhang; Ting-Zhu Huang (J. Sci. Comput., 2022)

SAR Time-Series Despeckling via Nonlocal Total Variation Regularized Robust PCA. - Zhanyu Zhu; Jian Kang 005; Teng-Yu Ji; Zhe Zhang 026; Rubén Fernández-Beltran (IEEE Geosci. Remote. Sens. Lett., 2022)

Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data. - Teng-Yu Ji; Xi-Le Zhao; Dong-Lin Sun (IEEE Signal Process. Lett., 2022)

A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images. - Teng-Yu Ji; Delin Chu; Xi-Le Zhao; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2022)

SAR time series despeckling via nonlocal matrix decomposition in logarithm domain. - Jian Kang 005; Tengyu Ji; Zhe Zhang 026; Rubén Fernández-Beltran (Signal Process., 2023)

Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior. - Yifan Wang; Shuang Xu; Xiangyong Cao; Qiao Ke; Teng-Yu Ji; Xiangxiang Zhu (Remote. Sens., 2023)

A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. - Ben-Zheng Li; Xi-Le Zhao; Xiongjun Zhang; Teng-Yu Ji; Xinyu Chen 002; Michael K. P. Ng 001 (SIAM J. Imaging Sci., 2023)

Hyperspectral Images Mixed Noise Removal via Group-Tube Transform Induced Collaborative Sparsity and Low-Rankness. - Ben-Zheng Li; Teng-Yu Ji; Jian-Li Wang (IGARSS, 2024)

Stacked Tucker Decomposition With Multi-Nonlinear Products for Remote Sensing Imagery Inpainting. - Shuang Xu; Jiangjun Peng; Teng-Yu Ji; Xiangyong Cao; Kai Sun 007; Rongrong Fei; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2024)

A New Sparse Collaborative Low-Rank Prior Knowledge Representation for Thick Cloud Removal in Remote Sensing Images. - Dong-Lin Sun; Teng-Yu Ji; Meng Ding 002 (Remote. Sens., 2024)

Continuous Tensor Representation for Hyperspectral Anomaly Detection. - Yiming Zeng 015; Xi-Le Zhao; Teng-Yu Ji; Wei-Hao Wu; Degang Wang; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2025)

Tensor Robust Kernel PCA for Multidimensional Data. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Qibin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)