Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity. - Tian Lu; Xi-Le Zhao; Yu-Bang Zheng; Meng Ding 002; Xiao-Tong Li (GlobalSIP, 2019)

Total variation with overlapping group sparsity for deblurring images under Cauchy noise. - Meng Ding 002; Ting-Zhu Huang; Si Wang; Jin-Jin Mei; Xi-Le Zhao (Appl. Math. Comput., 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)

Cauchy noise removal using group-based low-rank prior. - Meng Ding 002; Ting-Zhu Huang; Tian-Hui Ma; Xi-Le Zhao; Jinghua Yang (Appl. Math. Comput., 2020)

Tensor train rank minimization with nonlocal self-similarity for tensor completion. - Meng Ding 002; Ting-Zhu Huang; Xi-Le Zhao; Michael K. Ng 001; Tian-Hui Ma (CoRR, 2020)

Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization. - Jinghua Yang; Xi-Le Zhao; Tian-Hui Ma; Yong Chen 013; Ting-Zhu Huang; Meng Ding 002 (J. Comput. Appl. Math., 2020)

Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. - Meng Ding 002; Xiao Fu 001; Ting-Zhu Huang; Xi-Le Zhao (EUSIPCO, 2021)

Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing. - Meng Ding 002; Ting-Zhu Huang; Xi-Le Zhao; Jie Lin; Jinghua Yang (IGARSS, 2021)

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Meng Ding 002; Yong Chen 013; Tai-Xiang Jiang (IGARSS, 2021)

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling. - Meng Ding 002; Xiao Fu 001; Ting-Zhu Huang; Jun Wang 005; Xi-Le Zhao (IEEE J. Sel. Top. Signal Process., 2021)

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. - Jinghua Yang; Chuan Chen 001; Hong-Ning Dai; Meng Ding 002; Lele Fu; Zibin Zheng (CIKM, 2022)

Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence. - Meng Ding 002; Ting-Zhu Huang; Xi-Le Zhao; Tian-Hui Ma (Signal Process., 2022)

Bilinear Hyperspectral Unmixing via Tensor Decomposition. - Meng Ding 002; Xiao Fu 001; Xi-Le Zhao (EUSIPCO, 2023)

Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion. - Peng-Ling Wu; Xi-Le Zhao; Meng Ding 002; Yu-Bang Zheng; Lu-Bin Cui; Ting-Zhu Huang (Knowl. Based Syst., 2023)

Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising. - Yi-Jie Pan; Chun Wen; Xi-Le Zhao; Meng Ding 002; Jie Lin; Ya-Ru Fan (IEEE Geosci. Remote. Sens. Lett., 2023)

Hyperspectral Image Mixed Noise Removal via Nonlinear Transform-Based Block-Term Tensor Decomposition. - Chuan Wang; Xi-Le Zhao; Hao Zhang 103; Ben-Zheng Li; Meng Ding 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing. - Meng Ding 002; Xiao Fu 001; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Noisy tensor recovery via nonconvex optimization with theoretical recoverability. - Meng Ding 002; Jinghua Yang; Jin-Jin Mei (Appl. Math. Lett., 2024)

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. - Junren Chen; Zhaoqiang Liu; Meng Ding 002; Michael K. Ng 001 (SIAM J. Imaging Sci., 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)

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation. - Jing-Hua Yang; Chuan Chen 001; Hong-Ning Dai; Meng Ding 002; Zhebin Wu; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation. - Ben-Zheng Li; Xi-Le Zhao; Xinyu Chen 002; Meng Ding 002; Ryan Wen Liu (IEEE Trans. Intell. Transp. Syst., 2024)

Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery. - Meng Ding 002; Xi-Le Zhao; Jing-Hua Yang; Zhengchun Zhou; Michael K. Ng 001 (SIAM J. Imaging Sci., 2025)

Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples. - Meng Ding 002; Jing-Hua Yang; Xi-Le Zhao; Jie Zhang 124; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2025)