郭宇

姓名： 郭宇
职称： 讲师
部门： 应用数学系
研究方向：  最优化理论、图像处理、人工智能
邮箱： yuguomath@aliyun.com

个人简介

郭宇，男，汉族，中共党员，2026年5月任教于内蒙古大学数学科学学院。主要研究方向为最优化理论、图像处理、人工智能等，在SIAM Journal on Imaging Sciences、Journal of Scientific Computing、Inverse Problems and Imaging、Journal of Computational Mathematics、Journal of Computational and Applied Mathematics、Pattern Recognition、IEEE Transactions on Instrumentation and Measurement等数学与人工智能等国际知名期刊上累计发表SCI论文18篇。曾获评宝钢优秀学生奖、国家奖学金（3次）等省部级以上奖项12项。

教育经历

2015.09-2019.07 内蒙古大学，数学与应用数学（数理学基地），理学学士

2019.09-2022.07 内蒙古大学，数学，理学硕士

2022.09-2025.12 内蒙古大学，数学，理学博士

主讲课程

《线性代数》

科研论著

[1] Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng. Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion. Journal of Scientific Computing, 2026, 108:48.

[2] Yu Guo, Yi Liu, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng. Quaternion Adaptive Approximation Normalization Graph Guided Implicit Low Rank for Robust Matrix Completion, Pattern Recognition, 2026, 176:113210.

[3] Yu Guo, Qiyu Jin, Guoqing Chen, Michael Kwok-Po Ng. Nonlocal Curvature Guided Weighted Nonlocal Total Variation for Sparse Data Reconstruction, Journal of Computational Mathematics, Accept.

[4] Yu Guo, Guoqing Chen, Qiyu Jin, Tieyong Zeng, Michael Kwok-Po Ng. Quaternion deep matrix factorization and non-local Laplacian regularization for matrix completion, Knowledge-Based Systems, 2025, 331:114813.

[5] Yu Guo, Caiying Wu, Xi-Le Zhao, Qiyu Jin, Guoqing Chen, Michael Kwok-Po Ng. Sparse Aerial Ground Height Recovery Using Normalized Weighted Nonlocal Laplacian, IEEE Transactions on Instrumentation and Measurement, 2025, 74:5041417.

[6] Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng. Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction, Pattern Recognition, 2025, 158:110986.

[7] Yu Guo, Caiying Wu, Yuan Zhao, Tao Wang, Guoqing Chen, Qiyu Jin, Yiqiu Dong. The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal, Journal of Scientific Computing, 2024, 101:28.

[8] Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng. Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction, IEEE Signal Processing Letters, 2024, 31:2030-2034.

[9] Yu Guo, Qiyu Jin, Jean-Michel Morel, Gabriele Facciolo. How to Best Combine Demosaicing and Denoising?, Inverse Problems and Imaging, 2024, 18(3):571-599.

[10] Yu Guo, Qiyu Jin, Jean-Michel Morel, Tieyong Zeng, Gabriele Facciolo. Joint demosaicing and denoising benefits from a two-stage training strategy, Journal of Computational and Applied Mathematics, 2023, 434:115330.

[11] Jing Guo, Yu Guo, Qiyu Jin, Michael Kwok-Po Ng, Shuping Wang. Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising, SIAM Journal on Imaging Sciences, 2022, 15(4):1601-1622.

[12] Yu Guo, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Qiyu Jin. Fast, nonlocal and neural: a lightweight high quality solution to image denoising, IEEE Signal Processing Letters, 2021, 28:1515-1519.  

科研项目

2026.05-2029.05，主持内蒙古大学高层次人才科研启动项目

2025.01-2025.12，主持中国科协青年人才托举工程博士生专项计划