Xiang Li
Reading, London
Summary
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RockstarXiang Li is a lecturer and remote sensing specialist with a PhD in Cartography and GIS and six years of post-PhD research and teaching experience across institutions including NYU Abu Dhabi, KAUST, the University of Reading, and the University of Bristol. His work sits at the intersection of deep learning, computer vision, and remote sensing image recognition, translating advanced models into practical analysis of geospatial data. He has a strong academic foundation from Wuhan University (BEng, 3.72 GPA) and the Chinese Academy of Sciences, and brings international research experience from visiting and postdoctoral roles in the US, Middle East, and UK. Colleagues describe him as a researcher who combines rigorous methodological study with an eye for real-world applicability, often adapting state-of-the-art vision techniques to challenging remote sensing tasks.
6 years of coding experience
Github Skills (42)
image-synthesis9
scene8
text-to-image8
high-resolution7
pytorch-lightning7
airborne7
lidar6
encoding6
synthesis6
image-resolution6
inpainting5
pyramid5
classification5
pytorch5
deep-learning4
Programming languages (3)
Github contributions (5)
Vision-CAIR/3DCoMPaT
Sep 2022 - Oct 2022
Contributions:143 commits in 1 month
lx709/BPNet
Jun 2023 - Jan 2024
Contributions:21 pushes, 1 branch in 7 months
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