教师姓名：吴封盛

职    称：讲师（硕导）

系    所：数学系

主要研究领域：数值代数、矩阵优化算法、张量计算、高维图像与联合数据处理

电子邮件：wufs@ynu.edu.cn

个人主页：https://www.researchgate.net/profile/Fengsheng-Wu-2

教育背景：

2018.09-2022.06，云南大学，计算数学（张量计算方向），博士

2015.09-2018.06，四川大学，基础数学（代数学方向），硕士

2011.09-2015.06，云南大学，数理基础科学，学士

工作经历：

2025.03-至今，yl23411永利官网，讲师

2022.07-2024.09，云南大学统计学博士后科研流动站，国家博士后（合作导师：唐年胜教授）

代表性学术论著：

[1]. Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang. Complex representation matrix of third-order quaternion tensors with application to color video inpainting. Journal of Optimization Theory and Applications, 205, 27 (2025).

[2]. Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang. Robust low-rank tensor completion via new regularized model with approximate SVD. Information Sciences, 629, 646-666 (2023).

[3]. Fengsheng Wu, Chaoqian Li. Joint randomized algorithms for the federated low-multilinear-rank approximation of modified Tucker decomposition. Journal of Scientific Computing, 107, 21 (2026).

[4]. Fengsheng Wu, Yaotang Li, Chaoqian Li, Ying Wu. A fast tensor completion method based on tensor QR decomposition and tensor nuclear norm minimization. IEEE Transactions on Computational Imaging, 7, 1267-1277 (2021).

[5]. Fengsheng Wu, Chaoqian Li, Yaotang Li. Manifold regularization nonnegative triple decomposition of tensor sets for image compression and representation. Journal of Optimization Theory and Applications, 192, 979-1000 (2022).

[6]. Fengsheng Wu, Chaoqian Li, Yaotang Li. Algorithms for structure preserving best rank-one approximations of partially symmetric tensors. Frontiers of Mathematics, 8, 123-152 (2023).

[7]. Fengsheng Wu, Yonghe Liu, Chaoqian Li. Quaternion tensor tri-factorization for the low-rank approximation with application to video inpainting. Computational and Applied Mathematics, 44, 171 (2025).

[8]. Yonghe Liu, Fengsheng Wu, Bingxuan Yu, Chaoqian Li. An incremental randomized algorithm for singular value decomposition of streaming data matrices. Applied Mathematics Letters, 174, 109822 (2026).

[9]. Yingzhu Yang, Huimin Zhang, Fengsheng Wu. Federated tensor data processing: Interdisciplinary innovations for government information sharing. International Journal of Human-Computer Interaction, 42, 10603-10622 (2026).

[10]. Chaoqian Li, Yonghe Liu, Fengsheng Wu, Maolin Che. Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations. Numerical Algorithms, 96, 687-717 (2024).

[11]. Yonghe Liu, Fengsheng Wu, Jifei Miao, Chaoqian Li. A subspace-orbit randomized algorithm for quaternion tensor singular value decomposition based on Qt-product. Applied Mathematics and Computation, 512, 129780 (2026).

[12]. Yonghe Liu, Fengsheng Wu, Maolin Che, Chaoqian Li. Fixed-precision randomized quaternion singular value decomposition algorithm for low-rank quaternion matrix approximations. Neurocomputing, 580, 127490 (2024).

代表性教学科研项目：

1. 国家自然科学基金青年科学基金项目（C类）：多中心图像张量的联邦随机低秩逼近理论与算法研究，2027.01-2029.12，30万元，在研，主持

2. 国家自然科学基金数学天元基金项目：融合数据结构特征的联邦张量低秩逼近理论及其应用研究，2026.01-2027.12，10万元，在研，主持

3. 云南省科技厅基础研究计划青年项目（C类），2026.06-2029.05，5万元，在研，主持

4. 中国博士后科学基金特别资助(站中)项目，2023.07-2024.09，18万元，结项，主持

5. 云南省人社厅“彩云博士后”计划创新项目，2023.09-2024.09，5万元，结项，主持

获奖情况：

2023年云南省优秀博士学位论文（云南省教育厅，2024年2月公示）

主要学术任职：

Numerical Algorithms，Journal of Scientific Computing，IEEE Trans. Neural Netw. Learn. Syst.，Statistics and Computing，IEEE Trans. Circuits Syst. Video Technol., Nonlinear Dynamics等国际学术期刊审稿人