Meng Ding

According to our database, Meng Ding authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors.

Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng

CoRR, 2024

2023

Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing.

Meng Ding, Xiao Fu, Xi-Le Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Hyperspectral Image Mixed Noise Removal via Nonlinear Transform-Based Block-Term Tensor Decomposition.

Chuan Wang, Xi-Le Zhao, Hao Zhang, Ben-Zheng Li, Meng Ding

IEEE Geosci. Remote. Sens. Lett., 2023

Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising.

Yi-Jie Pan, Chun Wen, Xi-Le Zhao, Meng Ding, Jie Lin, Ya-Ru Fan

IEEE Geosci. Remote. Sens. Lett., 2023

Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion.

Peng-Ling Wu, Xi-Le Zhao, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang

Knowl. Based Syst., 2023

Bilinear Hyperspectral Unmixing via Tensor Decomposition.

Meng Ding, Xiao Fu, Xi-Le Zhao

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence.

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma

Signal Process., 2022

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view.

Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling.

Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao

IEEE J. Sel. Top. Signal Process., 2021

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing.

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, Jinghua Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection.

Meng Ding, Xiao Fu, Ting-Zhu Huang, Xi-Le Zhao

Proceedings of the 29th European Signal Processing Conference, 2021

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, Ting-Zhu Huang, Meng Ding

J. Comput. Appl. Math., 2020

Tensor train rank minimization with nonlocal self-similarity for tensor completion.

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma

CoRR, 2020

Cauchy noise removal using group-based low-rank prior.

Meng Ding, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Jinghua Yang

Appl. Math. Comput., 2020

2019

Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation.

Meng Ding, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Jinghua Yang

J. Sci. Comput., 2019

Total variation with overlapping group sparsity for deblurring images under Cauchy noise.

Meng Ding, Ting-Zhu Huang, Si Wang, Jin-Jin Mei, Xi-Le Zhao

Appl. Math. Comput., 2019

Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity.

Tian Lu, Xi-Le Zhao, Yu-Bang Zheng, Meng Ding, Xiao-Tong Li

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019