Zhuo Zheng
Postdoctoral Scholar at 斯坦福大学
Wuhan, Hubei, China
Summary
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Senior🎓
Top SchoolZhuo Zheng is a postdoctoral scholar and researcher at Stanford AI Lab with eight years of experience at the intersection of computer vision, photogrammetry, and remote sensing. Holding a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, he co-leads WG-MIA and contributes to IEEE GRSS IADF, focusing on machine and deep learning methods for image analysis and Earth vision applications. His work blends rigorous academic research with practical Earth-observation tools, reflected in an active Google Scholar profile and GitHub presence as an Earth Vision Researcher. Based in Wuhan, he brings a strong background in surveying engineering and remote sensing instrumentation to AI-driven image analysis problems. Colleagues note his ability to translate theoretical models into applied pipelines for large-scale geospatial imagery, an often underappreciated skill among academics. He combines multidisciplinary collaborations with hands-on experiments at SAIL to push robust, reproducible solutions for real-world remote sensing challenges.
9 years of coding experience
学士学位, Surveying Engineering, 学士学位, Surveying Engineering at 中国地质大学（武汉）博士, 摄影测量与遥感, 博士, 摄影测量与遥感 at 武汉大学
Github Skills (77)
datasets10
deep-learning10
representation-learning10
convolutional-neural-networks10
pre-trained-model10
torchvision10
change-detection10
object-detection10
computer-vision10
semantic-segmentation10
satellite-images10
sentinel10
earth-observation10
pytorch10
satellite-data10
Programming languages (5)
Github contributions (5)
Z-Zheng/pytorch-change-models
Jun 2024 - Feb 2026
torchange - A Unified Change Representation Learning Benchmark Library
Contributions:3 releases, 20 PRs, 74 pushes in 1 year 8 months
representation-learning
Z-Zheng/Z-Zheng.github.io
Nov 2017 - Dec 2025
Contributions:120 pushes, 1 branch in 8 years 2 months
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