Fu Ying, Doctor of Engineering, Associate Professor;

Email: fuying@cuit.edu.cn

Research direction:

1. Signal and image processing

2. Application of Non parametric Bayesian Method in Image Restoration

Postgraduate enrollment direction:

1. Graphic Image Processing and Application

2. Artificial intelligence and data mining

Profile:

She graduated from Sichuan University in 2014 with a doctor's degree in computer science and technology. At present, she has undertaken one science and technology support plan project of the Science and Technology Department of Sichuan Province and one key project of the Education Department of Sichuan Province, published more than 10 scientific research papers, and many papers have been searched by SCI and EI.

Currently undertaking scientific research projects:

1. Science and Technology Support Program of Sichuan Provincial Department of Science and Technology "Post processing Study of Motion Artifacts in Magnetic Resonance Imaging"(2015RZ0008).

2. The key project of Sichuan Provincial Department of Education "Research on Image De motion Blur" (15ZA0186).

Current teaching:

"Digital Image Processing", "Machine Learning", postgraduate; "Computer operation skill training", undergraduate.

Papers published in recent 5 years (# is the first author, * is the corresponding author):

1.Ying Fu#, Xi Wu*, Zhipeng Yang, Jiliu Zhou, Diffusion-weighted images super-resolution via external and internal patch-based regulation. The International Symposium on Biomedical Imaging (ISBI) (2017).

2.Ying Fu#, Jing Juan Wang, Zhi Peng Yang, Miao Zhang, Yi Shan, Dong Dong Rong, Qing Feng Ma,Kun Cheng Li, Jie Lu, Xi Wu*, Detection of Disrupted Functional Pathways in Thalamus Infarction Using Functional Tensor Imaging. ISMRM (2017).

3.Ying Fu#, Jinrong Hu*, Xi Wu, Jiliu Zhou, PSF Estimation for Blind Motion Deblurring With Image Edge Prior[C], The 9th International Conference on Digital Image Processing (ICDIP2016).

4.Ying Fu#, Xi Wu*, Xiaohua Li, Kun He, Yi Zhang, Jiliu Zhou, Image Motion Restoration Using Fractional-Order Gradient Prior [J], INFORMATICA, 2015, 26(4):621~634.

5.Ying Fu#, Xiaohua Li *, Lei Liang, Yi Zhang, Jiliu Zhou, The Restoration of Textured Images Using Fractional-Order Regularization [J], Mathematical Problems in Engineering (2014), doi:/10.1155/2014/356906.

6.Ying Fu#, Xiaohua Li *, Yi Zhang, Jiliu Zhou, Image motion deblurring based on variational Bayesian inference[J],Journal of Computational Information Systems2013,9(23):9303-9312.

7.符颖，吴锡，周激流.基于多正则化约束的图像去运动模糊[J].四川大学学报（工程科学版）,2017,49(3):123~128.