李本正-华中师范大学数学学院中文站

个人简介

李本正，华中师范大学数学与统计学学院讲师，电子科技大学理学博士，师从电子科技大学赵熙乐教授。主要研究方向为高维数据的张量表示、高性能算法设计、机器学习及其数学理论。近5年在应用数学、计算数学和人工智能等领域的权威期刊发表论文10余篇，包括SIAM J. Imaging Sci.、Inverse Probl.、J. Sci. Comput.、IEEE Trans. Comput. Imaging和IEEE Trans. Intell. Transp. Syst.等，入选ESI高被引论文1篇。担任美国数学评论(Mathematical Reviews)评论员、以及SIAM J. Imaging Sci.、IEEE Trans. Intell. Transp. Syst.和IEEE Trans. Neural Netw. Learn. Syst.等权威期刊审稿人。曾获2025年中国工业与应用数学学会优秀墙报、华为技术合作成果转化二等奖。入选首批中国科协青年人才托举工程博士生专项。参与多项国家自然科学基金项目、省部级项目和华为项目。个人主页：https://benzhengli.github.io/

开设课程

研究方向

计算数学，图像处理

教育经历

2015/09-2019/06，东华理工大学， 数学与应用数学，学士

2019/09-2022/06，电子科技大学，数学，硕士，导师：赵熙乐教授

2024/11-2025/11，新加坡国立大学，数学，国家公派联合培养博士，合作导师：储德林教授

2022/09-2025/12，电子科技大学，数学，博士，导师：赵熙乐教授

工作经历

2026/03-至今，华中师范大学数学与统计学学院，讲师

研究成果

[13] Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Teng-Yu Ji, and Ben-Zheng Li, Dynamic Low-Rank Tensor Decomposition for Video Applications, IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 1, pp. 449-462, 2026.

[12] Zhi-Long Han, Ting-Zhu Huang*, Xi-Le Zhao*, Ben-Zheng Li, and Meng Ding, Topology-Induced Low-Rank Tensor Representation for Spatio-Temporal Traffic Data Imputation, IEEE Transactions on Knowledge and Data Engineering, vol. 38, no. 2, pp. 1349-1363, 2026.

[11] Ben-Zheng Li, Xi-Le Zhao*, Hao Zhang, and Delin Chu, Importance-aware nonlocal tensor nuclear norm for high-dimensional image recovery, Inverse Problems, vol. 42, pp. 015004, 2026.

[10] Jun-Xian Kuang, Sheng Liu, Xi-Le Zhao, Ben-Zheng Li and Xiufen Fang, Grouped Tensor Low-Rank Representation for Multi-Dimensional Image Recovery, Inverse Problems and Imaging, 2025, doi: 10.3934/ipi.2025055.

[9] Chuan Wang, Xi-Le Zhao*, Yu-Bang Zheng, Ben-Zheng Li, and Michael K. Ng, Functional Tensor Singular Values Decomposition, SIAM Journal on Scientific Computing, vol. 47, pp. A2180-A2204, 2025.

[8] Ben-Zheng Li, Xi-Le Zhao*, Hao Zhang, and Delin Chu, Dictionary-Based Block Term Decomposition for Third-Order Tensors, SIAM Journal on Imaging Sciences, vol. 18, pp. 2347-2377, 2025.

[7] Sheng Liu, Xi-Le Zhao*, Jinsong Leng, Ben-Zheng Li, Jing-Hua Yang, and Xinyu Chen, Revisiting High-Order Tensor Singular Value Decomposition from Basic Element Perspective, IEEE Transactions on Signal Processing, vol. 72, pp. 4589-4603, 2024.

[6] Ben-Zheng Li, Teng-Yu Ji*, Jian-Li Wang, Hyperspectral Images Mixed Noise Removal Via Group-Tube Transform Induced Sparsity and Low-Rankness, IEEE International Symposium on Geoscience and Remote Sensing, Athens, Greece, 2024, pp. 7618-7621.

[5] Ben-Zheng Li, Xi-Le Zhao*, Xinyu Chen, Meng Ding, and Ryan Wen Liu, Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation, IEEE Transactions on Intelligent Transportation Systems, vol. 25, pp. 18847-18860, 2024

[4] Ben-Zheng Li, Xi-Le Zhao*, Xiongjun Zhang, Teng-Yu Ji, Xinyu Chen, and Michael K. Ng, A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion, SIAM Journal on Imaging Sciences, vol. 16, pp. 1370–1397, 2023.

[3] Cheng-Yao Lyu, Xi-Le Zhao*, Ben-Zheng Li, Hao Zhang, Ting-Zhu Huang, Multi-Dimensional Image Recovery via Fully-Connected Tensor Network Decomposition Under the Learnable Transforms, Journal of Scientific Computing, vol. 93, Art. no. 49, 2022.

[2] Ben-Zheng Li, Xi-Le Zhao*, Teng-Yu Ji, Xiong-Jun Zhang, and Ting-Zhu Huang, Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion, Journal of Scientific Computing, vol. 93, Art. no. 3, 2022.

[1] Ben-Zheng Li, Xi-Le Zhao*, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, and Jun Liu, Tensor Completion Via Collaborative Sparse and Low-Rank Transforms, IEEE Transactions on Computational Imaging, vol. 7, pp. 1289-1303, 2021.

研究项目

1.国家自然科学基金面上项目，基于连续张量表示的高维数据复原问题研究，2024/01-2027/12，参与

2.国家自然科学基金面上项目，高光谱图像复原问题的张量优化模型与高性能算法研究，2019/01-2022/12，参与

3.华为技术有限公司技术开发项目，基于张量分解的信道和权值的存储流量优化，2022/09-2023/09，参与

4.华为技术有限公司技术开发项目，连续信道矩阵集的极致降阶预编码，2024/06-2025/06，参与

附件

李本正

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