Ding Meng
Supervisor of Master's Candidates
丁猛，2021年于电子科技大学数学科学学院获理学博士学位，现为西南交通大学数学学院副教授，硕士生导师。主要研究方向是高维数据处理的张量建模与算法研究，发表学术论文20余篇，包括领域权威期刊SIAM Journal on Imaging Sciences，Journal of Scientific Computing，IEEE Journal of Selected Topics in Signal Processing，IEEE Transactions on Knowledge and Data Engineering，Inverse Problems and Imaging等，其中2篇入...details>
Education Level:PhD graduate
Degree:Doctor of science
Business Address:西南交通大学犀浦校区7号教学楼
Gender:Male
Status:在岗
Alma Mater:电子科技大学
School/Department:数学学院
Discipline:
Email:
- 1.Meng Ding.Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery.SIAM Journal on Imaging Sciences.2025
- 2.Meng Ding.Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation.Journal of Scientific Computing.2019
- 3.Meng Ding.Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering with Insufficient Observed Samples.IEEE Transactions on Knowledge and Data Engineering.2025
- 4.Meng Ding.Hyperspectral super-resolution via interpretable block-term tensor modeling.IEEE Journal of Selected Topics in Signal Processing.2020
- 5.Meng Ding.Tensor train rank minimization with nonlocal self-similarity for tensor completion.Inverse Problems and Imaging.2020