Wei Yu

News

[2020.04] One paper is accepted by Information Fusion!
[2020.02] Two Abstracts are accepted by ISMRM!

Research Interest

I have great interest in generated adversarial network(GAN), and work in this field for more than three years. Becaus of the magic of GAN, currently, I focus on the following research topics:

Multi model image fusion, such as infrared and visible image fusion, medical image (PET and MRI) fusion and panSharpening
Image enhancement, including denoise, deblur and accelerated imageing
Image generation and photo style transfer

Experience

2020.4-Now RD in Xiaomi AI Lab. Major: Image generation and style transfer.
2019.7-2020.2 RD in Sinovation Ventures AI Institute. Major: Medical image enhancement.

Education

2017.9-2019.6 M.S. in School of Electronics Information, Wuhan University. Supervisor: Prof. Jiayi Ma
2013.9-2017.6 B.S. in School of Information Engineering, Wuhan University of Technology.

Publications

[4] Ma J, Yu W, Chen C, et al, “Pan-GAN: An unsupervised learning method for pan-sharpening in remote sensing image fusion using a generative adversarial network,” Information Fusion, vol. 62, pp. 110-120, 2020. (SCI Q1 Top, IF=11.21) [PDF][Code]

[3] Ma J, Liang P, Yu W, et al, “Infrared and visible image fusion via detail preserving adversarial learning,” Information Fusion, vol. 54, pp. 85-98, 2020. (SCI Q1 Top, IF=11.21) [PDF]

[2] Ma J, Yu W, Liang P, et al, “FusionGAN: A generative adversarial network for infrared and visible image fusion,” Information Fusion, vol. 48, pp. 11-26, 2019. (SCI Q1 Top, IF=11.21) [PDF][Code]

[1] Yang Z, Yu W, Liang P, et al, “Deep transfer learning for military object recognition under small training set condition,” Neural Computing and Applications, vol. 31, no. 10, pp. 6469-6478, 2019. (SCI Q2, IF=4.2) [PDF] [Code]

Conferences

[3] Yu W, Wang L, Zhang X, et al, “Simultaneous Brain Anatomical and Arterial Imaging by 3T MRI: Reconstruction Based on a Generative Adversarial Network,” International Society for Magnetic Resonance in Medicine (ISMRM), 2020. (Power pitch (top 5%)) [PDF]

[2] Li S, Wang L, Yu W, et al, “Shortening the Waiting Time for Primovist: Hepatobiliary Phase Enhancement Using Deep Learning Methods,” International Society for Magnetic Resonance in Medicine (ISMRM), 2020. (Power pitch (top 5%)) [PDF]

[1] Xu H, Liang P, Yu W, et al, “Learning a generative model for fusing infrared and visible images via conditional generative adversarial network with dual discriminators,” International Joint Conferences on Artificial Intelligence (IJCAI), 2019. (Poster) [PDF] [Code]

Awards

National Graduate Scholarship, Ministry of Education, 2018

Updating time: 2020.05.29

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