图像处理、人工智能理论、智能优化与高维信息处理： (1) 图像处理：图像去噪、图像复原、医学图像重构、图像分割、三维图像重构； (2) 人工智能理论: 深度学习网络理论分析、K-means理论； (3) 高维数据重建的优化理论与方法: 压缩感知、低秩矩阵恢复、相位恢复、稀疏优化.
金其余，兰州大学教授。法国南布列塔尼大学应用数学博士，巴黎六大、上海交通大学博士后，巴黎-萨克雷高等师范学校访问学者，中国数学会医学数学专业委员会委员，中国运筹学会数学规划分会理事。长期与国内外多所大学保持合作，包括法国巴黎-萨克雷高等师范学校、巴黎六大、Centre Inria Rennes 等。研究领域包括：图像处理、计算机视觉与最优化。相应成果发表于 SIAM Journal on Imaging Sciences、Cell 子刊 Structure、JSC、JMIV，TIP，TMM，TIM，PR，IP，Miccai 等期刊或会议。主持国家自然科学基金等项目多项。 除此之外, 指导的多名学生获得国家奖学金, 多名学生继续深造进入高校或者进入公司技术研发岗位.
[1]Y Zhao, G Chen, B Wu, Q Jin（通讯）, T Zeng. Msa-Splatting: Multi-Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis[J]. IEEE Transactions on Multimedia, 2026. [2]T Zhang, J Lu, Q Jin（通讯）, T Zeng. A Survey of Single Image Blind Motion Deblurring from Traditional to Deep Learning[J]. ACM Computing Surveys, 2026, 58(9): 1-38. [3]Y Guo, Y Liu, G Chen, T Zeng, Q Jin（通讯）, MKP Ng. Quaternion Adaptive Approximation Normalization Graph Guided Implicit Low Rank for Robust Matrix Completion[J]. Pattern Recognition, 2026: 113210. [4]K Li, D Liang, G Chen, Q Jin（通讯）, T Zeng. Frequency-spatial synergistic network for accelerated multi-contrast MRI reconstruction[J]. Computerized Medical Imaging and Graphics, 2025: 102682. [5]C Wu, L Zhang, T Zhang, J Lu, G Chen, J Liu, Q Jin（通讯）, T Zeng. Total curvature-driven blind image deblurring[J]. Journal of Computational and Applied Mathematics, 2025: 117089. [6] C Luo, Q Jin(共同一作), T Xie, X Wang, H Wang, C Liu, L Tang, G Chen, ZX Cui, D Liang. Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2025: 562-572. [7]Y Guo, C Wu, XL Zhao, Q Jin（通讯）, G Chen, MKP Ng. Sparse Aerial Ground Height Recovery Using Normalized Weighted Non-local Laplacian[J]. IEEE Transactions on Instrumentation and Measurement, 2025. [8]C Luo, H Wang, Y Liu, T Xie, G Chen, Q Jin（通讯）, D Liang, ZX Cui. Matrix completion‐informed deep unfolded equilibrium models for self‐supervised k k‐space interpolation in MRI[J]. Medical Physics, 2025, 52(7): e17924. [9] Y Guo, G Chen, T Zeng, Q Jin（通讯）, MKP Ng. Quaternion nuclear norm minus frobenius norm minimization for color image reconstruction[J]. Pattern Recognition, 2025, 158: 110986. [10] Liu Y, Jin Q（通讯）, Yang J. Quaternion CNN With Salient Features for Color Image Denoising[C]//ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025: 1-5. [11] Y Guo, C Wu, Y Zhao, T Wang, G Chen, Q Jin（通讯）, Y Dong. The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal[J]. Journal of Scientific Computing, 2024, 101(2): 28. [12] R Su, Y Guo, C Wu, Q Jin（通讯）, T Zeng. Kernel correlation–dissimilarity for Multiple Kernel k-Means clustering[J]. Pattern Recognition, 2024: 110307. [13] Y Guo, Q Jin（通讯）, JM Morel, T Zeng, G Facciolo. How to best combine demosaicing and denoising?[J]. Inverse Problems and Imaging, 2023: 0-0. [14] Guo Y, Jin Q（通讯）, Morel J M, et al. Joint demosaicking and denoising benefits from a two-stage training strategy[J]. Journal of Computational and Applied Mathematics, 2023, 434: 115330. [15] Tingting Zhang, Jie Chen, Caiying Wu, Zhifei He,Tieyong Zeng and Qiyu Jin（通讯）. Edge adaptive hybrid regularization model for image deblurring. Inverse Problem, 2022, 38 (6), 065010. [16] Zhigang Jia, Qiyu Jin(共同一作), Michael K. Ng, Xi-le Zhao. Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting. IEEE Transactions on Image Processing, 2022,31:3868 - 3883. [17]Jing Guo, Yu Guo, Qiyu Jin（通讯）, 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. [18]Jin Q , Guo Y , Facciolo G , et al. A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms. Image Processing On Line, 2021, 11:234-283. [19]Jin Q, Grama I, Liu Q. Poisson Shot Noise Removal by an Oracular Non-Local Algorithm[J]. Journal of Mathematical Imaging and Vision, 2021, 3(4):1-20. [20]Y Guo, A Davy, G Facciolo, JM Morel, Q Jin（通讯）. Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising. IEEE Signal Processing Letters 28, 2021:1515-1519. [21]Q Jin, L. Bai, I. Grama, Q. Liu, J. Yang. Removing random-valued impulse noise with reliable weight. Inverse Problems and Imaging, 2020, 14(2): 171-203.=-32 Qiyu Jin, Gabriele Facciolo and Jean-Michel Morel, A review of an old dilemma: demosaicking first, or denoising first? CVPR 2020 NTIRE Workshop (Oral) [22]Q. Jin, I. Grama, Q. Liu. Convergence Theorems For The Non-Local Means Filter. Inverse Problems and Imaging, 2018, 12(4): 853-881. [23]Qiyu Jin, Osamu Miyashita, Florence Tama, Jie Yang, Slavica Jonic. Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging. IET Image Processing. 2018, 12 (12), 2264-2274. [24]Q. Jin, I. Grama, Q. Liu. Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises. Plos one, 2017,12(7): e0179051. [25]Qiyu Jin, Ion Grama, Charles Kervrann and Quansheng Liu, Nonlocal Means and Optimal Weights for Noise Removal. Siam Journal on Imaging Sciences, 2017, 10(4):1878-1920 [26]Jin Q, Grama I, Liu Q. Controlled Total Variation regularization for image deconvolution[J]. Imaging Science Journal The, 2016, 64(2):68-81. [27]Qiyu Jin, Carlos Oscar S Sorzano, Joseacute; Miguel de la Rosa-Trevin, Joseacute; Roman Bilbao-Castro, Rafael Nunez-Ramirez, Oscar Llorca, Florence Tama, and Slavica Jonic. Iterative elastic 3d-to-2d alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure, 2014, 22(3):496-506 [28]Qiyu Jin, Ion Grama, and Quansheng Liu. A new Poisson noise filter based on weights optimization. Journal of Scientific Computing, 2014, 58(3):548-573 [29]Q. Jin, C.O.S. Sorzano, I. Callebaut, F. Tama, S. Jonic. Elastic image registration to fully explore macromolecular dynamics by electron microscopy[C]// IEEE International Conference on Image Processing (ICIP) 2014. IEEE, 2015:2075-2079. [30]Q Jin, L Bai, J Yang, I Grama, & Q Liu. (2014). A New Method for Removing Random-Valued Impulse Noise. International Conference on Neural Information Processing.
2026.01-2029.12 国家自然科学基金，12561094，基于高维非局部均值的智能计算理论与高维图像处理 2022.01--2022.12 医学影像中的人工智能方法与数学理论专题讲习班，12126413，自然科学基金委天元讲习班项目 2021.01--2024.12 国家自然科学基金，12061052，非局部均值理论及其在人工智能中运用 2017.01--2020.12 国家自然科学基金，61661039，医学图像去噪与去模糊的几个关键算法研究
个人谷歌学术主页 https://scholar.google.com/citations?hl=zh-CN&user=GcHVqp0AAAAJ&view_op=list_works&sortby=pubdate
作者:金其余
