• Biography
• News
• Publications
  • Journal Articles (Submitted)
  • Journal Articles (Published)
  • Conference Papers
• Education
• Awards and Honors
• Reports

Biography

Meng Ding is currently an assistant professor with the School of Mathematics, Southwest Jiaotong University. He obtained the Ph.D. degree (advised by Prof. Ting-Zhu Huang and Prof. Xi-Le Zhao) with the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, China. His research interest includes image processing, tensor analysis, and deep learning. Email: dingmeng56@163.com   Follow me: Google Scholar   Researchgate   GitHub

News

• Aug. 2022: one paper has been accepted by _ACM International Conference on Information and Knowledge Management (CIKM).

• Jul. 2022: Check out this submission “Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing”. Here we propose a new tensor decomposition-based algorithm for hyperspectral unmixing.

• Dec. 2021: one paper “Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence” has been accepted by Signal Processing.

• May 2021: one paper has been accepted by 29th European Signal Processing Conference (EUSIPCO), and two papers have been accepted by IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

• Dec. 2020: one paper “Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling” has been accepted by IEEE Journal of Selected Topics in Signal Processing.

• Nov. 2020: Good news, our paper “Tensor train rank minimization with nonlocal self-similarity for tensor completion” has been accepted by Inverse Problems and Imaging.

• June 2020: Check out this submission “Hyperspectral super-resolution via interpretable block-term tensor modeling”. Here we propose a new tensor-based hyperspectral super-resolution.

• Feb. 2020: We submit “Tensor train rank minimization with nonlocal self-similarity for tensor completion”. In this work, we propose a new nonlocal tensor train rank-based tensor completion method by exploring the nonlocal self-similarity prior of tensor data.

• Jan. 2020: J-H. Yang, X-L. Zhao, T-H. Ma, M. Ding, T-Z. Huang “Tensor train rank minimization with hybrid smoothness regularization for visual data recovery” has been accepted by Applied Mathematical Modelling.

• Dec. 2019: M. Ding, T-Z. Huang, T-H. Ma, X-L. Zhao, J-H. Yang, “Cauchy noise removal using group-based low-rank prior” has been accepted by Applied Mathematics and Computation.

• Aug. 2019: M. Ding, T-Z. Huang, T-Y. Ji, X-L. Zhao, J-H. Yang, “Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation” has been accepted by Journal of Scientific Computing.

Publications

Journal Articles (Submitted)

• Meng Ding, Xiao Fu, Xi-Le Zhao, “Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing”, 2022. [PDF]

Journal Articles (Published)

• Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, “Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence”, Signal Processing, 2022.

• Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao, “Hyperspectral super-resolution via interpretable block-term tensor modeling”, IEEE Journal of Selected Topics in Signal Processing, vol. 15, num. 3, pp. 641-656, 2020.

• Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma, “Tensor train rank minimization with nonlocal self-similarity for tensor completion”, Inverse Problems and Imaging, 2020. [PDF]

• Meng Ding, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Jing-Hua Yang, “Cauchy noise removal using group-based low-rank prior”, Applied Mathematics and Computation, vol. 372, pp. 124971, 2020. [PDF] [Code]

• Meng Ding, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Jing-Hua Yang, “Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation”, Journal of Scientific Computing, vol. 81, pp. 941–964, 2020. [PDF] [Code]

• Meng Ding, Ting-Zhu Huang, Si Wang, Jin-Jin Mei, Xi-Le Zhao, “Total variation with overlapping group sparsity for deblurring images under Cauchy noise”, Applied Mathematics and Computation, vol. 341, pp. 128–147, 2020. [PDF] [Code_debluring] [Code_denoising]

• Jing-Hua Yang, Xi-Le Zhao, Tian-Hui Ma, Meng Ding, Ting-Zhu Huang, “Tensor train rank minimization with hybrid smoothness regularization for visual data recovery”, Applied Mathematical Modelling, vol. 81, pp. 711-726, 2020. [PDF]

• Jing-Hua Yang, Xi-Le Zhao, Tian-Hui Ma, Yong Chen, Ting-Zhu Huang, Meng Ding, “Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization”, Journal of Computational and Applied Mathematics, vol. 363, pp. 124-144, 2020. [PDF]

Conference Papers

• Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Le-le Fu, Zibin Zheng, “Hierarchical representation for multi-view clustering: from intra-sample to intra-view to inter-view”, in ACM International Conference on Information and Knowledge Management (ICKM), 2022.

• Meng Ding, Xiao Fu, Xi-Le Zhao, “Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection”, in IEEE European Signal Processing Conference (EUSIPCO), 2021, pp. 1060-1064.

• Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, Jing-Hua Yang, “Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGRASS), 2021, pp. 3833-3836.

• Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang, “A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images”, in IEEE International Geoscience and Remote Sensing Symposium (IGRASS), 2021, pp. 4656-4659.

• Tian Lu, Xi-Le Zhao, Yu-Bang Zheng, Meng Ding, Xiao-Tong Li, “Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity”, in IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, pp. 1-5. (Oral) [PDF]

Education

• 09/2018-12/2022: University of Electronic Science and Technology of China (UESTC); Ph. D. student in Applied Mathematics (Supervisor: Prof. Ting-Zhu Huang)

• 09/2019-09/2020: Oregon State University; Exchange visitor in Signal Processing (Supervisor: Prof. Xiao Fu and Prof. Ting-Zhu Huang)

• 09/2016-06/2018: University of Electronic Science and Technology of China (UESTC); Master student in Applied Mathematics (Supervisor: Prof. Ting-Zhu Huang)

• 09/2012-06/2016: University of Electronic Science and Technology of China (UESTC); Bachelor student in Information and Computing Science

Awards and Honors

• Outstanding student of USETC 成电杰出学生 (研究生) (highest personal honor for graduate students in UESTC), 2021
• National Scholarship (highest national wide scholarship for students in China), 2021
• First-class academic scholarship, UESTC, 2019
• Special postgraduate scholarship of science, UESTC, 2018

Reports