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，博、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，目前已在数学权威期刊SIIMS, JSC, IPI，IEEE系列权威期刊JSTSP, TKDE, TNNLS等发表学术论文，其中2篇入选ESI高被引论文。主持国家自然科学基金青年基金项目一项和四川省科技厅项目一项，荣获四川省数学会第二届应用数学奖一等奖。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.Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability.SIAM Journal on Imaging Sciences
- 2.Meng Ding.Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery.SIAM Journal on Imaging Sciences.2025
- 3.Meng Ding.Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation.Journal of Scientific Computing.2019
- 4.Meng Ding.Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering with Insufficient Observed Samples.IEEE Transactions on Knowledge and Data Engineering.2025
- 5.Meng Ding.Hyperspectral super-resolution via interpretable block-term tensor modeling.IEEE Journal of Selected Topics in Signal Processing.2020
- 6.Meng Ding.Tensor train rank minimization with nonlocal self-similarity for tensor completion.Inverse Problems and Imaging.2020
Team Member
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