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Wei Yu (余威) |
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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