Yi Wang
Doctoral Candidate
Gilching, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolYi Wang is a doctoral candidate and geomatics engineer with eight years of experience applying machine learning to remote sensing and Earth observation. Based at TUM and formerly at the German Aerospace Center, Yi has focused on self- and weakly-supervised learning and machine-learned 3D building vectorization from satellite imagery, bridging academic research and applied geospatial solutions. Prior roles include a SLAM internship at Sony, reflecting hands-on experience in both perception and mapping systems. Based in Gilching, Bavaria, Yi combines rigorous academic training from Wuhan University and the University of Stuttgart with a practical, results-oriented approach to large-scale geospatial data. An understated experimentalist, Yi’s GitHub motto “You only live once:)” hints at a willingness to try bold ideas in research and code.
8 years of coding experience
Bachelor's degree, remote sensing information engineering, Bachelor's degree, remote sensing information engineering at Wuhan UniversityMaster's degree, Geomatics Engineering, Master's degree, Geomatics Engineering at University of Stuttgart
Github Skills (45)
earth-observation10
pytorch10
pre-trained-model10
satellite-imagery10
image-translation10
geospatial10
generative-adversarial-network10
datasets10
deep-learning10
computer-graphics10
image-manipulation10
torchvision10
computer-vision10
cyclegan10
algolia9
Programming languages (5)
Github contributions (5)
wangyi111/Fun-with-Code
Mar 2019 - Nov 2020
Contributions:24 commits, 19 pushes, 3 branches in 1 year 8 months
zhu-xlab/SSL4EO-S12
May 2022 - Nov 2022
SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation
Contributions:44 commits, 1 PR, 58 pushes in 5 months
earth-observationself-supervised-learning
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