Yude Wang
PhD Candidate
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolYude Wang is a PhD candidate in Computer Science based in Beijing with nine years of experience focused on computer vision and deep learning. With a strong academic foundation from Shandong University (BE, 91.5/100) and doctoral research at the University of Chinese Academy of Sciences, Yude combines rigorous theory with hands-on algorithm work, including an algorithm research internship at SeetaTech. Active on GitHub as YudeWang, they bridge research and implementation, producing reproducible CV/DL code and experiments. Colleagues describe them as methodical and data-driven, often turning complex model ideas into practical prototypes suitable for both publication and applied systems.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chinese Academy of SciencesBachelor of Engineering - BE, Computer Science, 91.5/100, Bachelor of Engineering - BE, Computer Science, 91.5/100 at Shandong University
Github Skills (17)
attention-mechanism10
pytorch9
semantic-segmentation9
tensorflow7
deeplab6
semi-supervised-learning6
pattern-recognition4
deep-learning4
computer-vision4
occlusion3
matlab2
super-resolution2
neural-rendering2
convolutional-neural-networks2
rendering1
Programming languages (3)
Github contributions (5)
YudeWang/SEAM
Mar 2020 - Apr 2022
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
Contributions:9 commits, 7 pushes, 41 comments in 2 years 1 month
attention-mechanismsemantic-segmentation
YudeWang/UNet-Satellite-Image-Segmentation
Dec 2017 - Jul 2020
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
Contributions:13 commits, 10 pushes, 1 branch in 2 years 7 months
semantic-segmentationtensorflow
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