Meng Ding

30 papers A 1C 2Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep structure alignment network for scalable unsupervised domain adaptation.
Knowl. Based Syst.
Yuhao Wang, Hua Meng, Zhengchun Zhou, Meng Ding, Wenqiang Zeng
2026 J jnl
Tensor Multi-Subspace Representation for Remote Sensing Image Mixed Noise Removal.
IEEE Trans. Neural Networks Learn. Syst.
Jing-Hua Yang, Heng-Chao Li, Meng Ding, Xi-Le Zhao, Wen-Yu Hu
2026 J jnl
Topology-Induced Low-Rank Tensor Representation for Spatio-Temporal Traffic Data Imputation.
IEEE Trans. Knowl. Data Eng.
Zhi-Long Han, Ting-Zhu Huang, Xi-Le Zhao, Ben-Zheng Li, Meng Ding
2025 J jnl
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery.
SIAM J. Imaging Sci.
Meng Ding, Xi-Le Zhao, Jing-Hua Yang, Zhengchun Zhou, Michael K. Ng
2025 J jnl
Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples.
IEEE Trans. Knowl. Data Eng.
Meng Ding, Jing-Hua Yang, Xi-Le Zhao, Jie Zhang, Michael K. Ng
2024 J jnl
A New Sparse Collaborative Low-Rank Prior Knowledge Representation for Thick Cloud Removal in Remote Sensing Images.
Remote. Sens.
Dong-Lin Sun, Teng-Yu Ji, Meng Ding
2024 J jnl
Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Ben-Zheng Li, Xi-Le Zhao, Xinyu Chen, Meng Ding, Ryan Wen Liu
2024 J jnl
Noisy tensor recovery via nonconvex optimization with theoretical recoverability.
Appl. Math. Lett.
Meng Ding, Jinghua Yang, Jin-Jin Mei
2024 J jnl
Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst.
Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Zhebin Wu, Zibin Zheng
2024 J jnl
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors.
CoRR
Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng
2024 J jnl
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors.
SIAM J. Imaging Sci.
Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng
2023 — conf
Bilinear Hyperspectral Unmixing via Tensor Decomposition.
EUSIPCO
Meng Ding, Xiao Fu, Xi-Le Zhao
2023 J jnl
Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Meng Ding, Xiao Fu, Xi-Le Zhao
2023 J jnl
Hyperspectral Image Mixed Noise Removal via Nonlinear Transform-Based Block-Term Tensor Decomposition.
IEEE Geosci. Remote. Sens. Lett.
Chuan Wang, Xi-Le Zhao, Hao Zhang, Ben-Zheng Li, Meng Ding
2023 J jnl
Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising.
IEEE Geosci. Remote. Sens. Lett.
Yi-Jie Pan, Chun Wen, Xi-Le Zhao, Meng Ding, Jie Lin, Ya-Ru Fan
2023 J jnl
Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion.
Knowl. Based Syst.
Peng-Ling Wu, Xi-Le Zhao, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang
2022 J jnl
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing.
CoRR
Meng Ding, Xiao Fu, Xi-Le Zhao
2022 A conf
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view.
CIKM
Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng
2022 J jnl
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence.
Signal Process.
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma
2021 C conf
A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.
IGARSS
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang
2021 — conf
Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection.
EUSIPCO
Meng Ding, Xiao Fu, Ting-Zhu Huang, Xi-Le Zhao
2021 C conf
Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing.
IGARSS
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, Jinghua Yang
2021 J jnl
Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling.
IEEE J. Sel. Top. Signal Process.
Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao
2020 J jnl
Cauchy noise removal using group-based low-rank prior.
Appl. Math. Comput.
Meng Ding, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Jinghua Yang
2020 J jnl
Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization.
J. Comput. Appl. Math.
Jinghua Yang, Xi-Le Zhao, Tian-Hui Ma, Yong Chen, Ting-Zhu Huang, Meng Ding
2020 J jnl
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence.
CoRR
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma
2020 J jnl
Tensor train rank minimization with nonlocal self-similarity for tensor completion.
CoRR
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma
2019 J jnl
Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation.
J. Sci. Comput.
Meng Ding, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Jinghua Yang
2019 — conf
Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity.
GlobalSIP
Tian Lu, Xi-Le Zhao, Yu-Bang Zheng, Meng Ding, Xiao-Tong Li
2019 J jnl
Total variation with overlapping group sparsity for deblurring images under Cauchy noise.
Appl. Math. Comput.
Meng Ding, Ting-Zhu Huang, Si Wang, Jin-Jin Mei, Xi-Le Zhao