金其余

姓名：金其余
职称：教授(博导)
部门：信息与计算科学系
研究方向：生物医学图像处理、大数据分析、深度学习、机器学习
邮箱：   qyjin2015@aliyun.com

个人简介

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，内蒙古自治区“青年科技英才支持计划”青年科技领军人才，中国运筹学会数学规划分会理事，内蒙古自治区数学学会理事，中国生物医学工程学会高级会员。

招生硕士研究生：欢迎数学基础好、编程能力强，对人工智能研究领域感兴趣的同学报考。

主讲课程

概率论、回归分析、多元统计分析、非参数统计、高等数学

主办会议

2023.07.14-17  分析、概率与图像处理等交叉论题研讨会

2022.12.16-22  2022年医学影像中的人工智能方法与数学理论专题讲习班(图像处理与人工智能国际会议)

2021.12.17-20   第五届图像计算与医学国际研讨会（ISICDM 2021）”图像计算数学模型与算法workshop”

2021.07.23-26   数学图像联盟2021年度会议(UMI 2021)

代表性著作

[1]   R Su, Y Guo, C Wu, Q Jin, T Zeng. Kernel correlation–dissimilarity for Multiple Kernel k-Means clustering[J]. Pattern Recognition, 2024: 110307.

[2]   Y Guo, Q Jin, JM Morel, T Zeng, G Facciolo. How to best combine demosaicing and denoising?[J]. Inverse Problems and Imaging, 2023: 0-0.

[3]   Guo Y, Jin Q, 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.

[4]   Shaonan Liu, Yuanyuan Liu, Xi Xu, Rui Chen, Dong Liang, Qiyu Jin, Hui Liu, Guoqing Chen, and Yanjie Zhu. Accelerated cardiac diffusion tensor imaging using deep neural network. Physics in Medicine & Biology. 2023,68:025008

[5]   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.

[6]   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.

[7]   Jing Guo, Yu Guo, Qiyu Jin（通讯）, Michael Kwok-Po Ng（通讯）, 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.

[8]   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.

[9]   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.

[10]   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.

[11]  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.

[12]   Qiyu Jin, Gabriele Facciolo and Jean-Michel Morel, A review of an old dilemma: demosaicking first, or denoising first? CVPR 2020 NTIRE Workshop (Oral)

[13]  Q. Jin, I. Grama, Q. Liu. Convergence Theorems For The Non-Local Means Filter. Inverse Problems and Imaging, 2018, 12(4): 853-881.

[14]  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.

[15]  Q. Jin, I. Grama, Q. Liu. Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises. Plos one, 2017,12(7): e0179051.

[16]  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

[17]  Jin Q , Grama I , Liu Q . Controlled Total Variation regularization for image deconvolution[J]. Imaging Science Journal The, 2016, 64(2):68-81.

[18]  J. Yang, Q. Jin, B. Zhang, H. Shen. R2C: improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.[J]. Bioinformatics, 2016, 32(16):2435–2443.

[19]  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

[20]  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

[21]  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.

[22]  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.

主持科研项目

2022.01--2024.12 内蒙古自治区“高校青年科技英才” A类青年科技领军人才，NJYT22090 内蒙古自治区教育厅

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

2020.07--2022.12 内蒙古自治区自然科学基金项目，2020MS01002，非局部均值算法原理与深度学习融合理论研究

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

2016.01--2018.12内蒙古自治区自然科学基金项目，2016MS0107，基于非局部均值原理的弥散张量成像去噪与增强的算法研究

2016.01--2018.12内蒙古自治区教育厅项目，NJZY16017，DTI图像去噪算法研究

2016.01--2018.12内蒙古大学高层次人才启动基金项目，医学成像中去噪与增强的关键算法研究

2015.01--2015.12教育部留学回国人员科研启动基金，基于优化加权的弥散张量成像去噪与增强的方法研究

2014.04--2015.05中国博士后科学基金，2014M551412，非方差稳定变换的DTI图像去噪方法研究