Xiangyun Hu
Professor at School of Remote Sensing and Information Engineering, Wuhan University, China
Beijing, China
Summary
👤
Senior🎓
Top SchoolXiangyun Hu is a Professor of Photogrammetry and Remote Sensing at Wuhan University with over a decade of experience bridging academic research and industrial software engineering. Her career spans postdoctoral work in Canada, senior software engineering at ERDAS in the USA, and a strong publication record on automatic road and linear feature extraction, LiDAR filtering, and high-resolution imagery segmentation. She combines rigorous modeling and energy-minimization methods with practical template-matching and profile-analysis techniques to solve real-world geospatial problems. Active in open-source data-science writing, she has contributed practical R visualizations and mapping enhancements to the widely used cosx.org community. Based in Beijing, she brings both deep theoretical insight and hands-on implementation experience, often turning complex remote-sensing algorithms into robust, usable tools.
11 years of coding experience
4 years of employment as a software developer
Doctor, Photogrammetry & Remote Sensing, Doctor, Photogrammetry & Remote Sensing at Wuhan University
Stackoverflow
11reputation
2kreached
1answer
0questions
Github Skills (6)
rmarkdown10
r10
statistics9
covariance6
matrix6
machine-learning4
Programming languages (14)
Github contributions (5)
cosname/cosx.org
Nov 2018 - Nov 2022
统计之都主站
Role in this project:
Data Scientist
Data ScientistContributions:199 reviews, 114 commits, 107 PRs in 4 years
Contributions summary:Xiangyun contributed significantly to a blog on the `cosx.org` repository, specifically focusing on an introduction to `echarts4r`, an R package for data visualization. Their work included adding and refining content, incorporating citations, adapting code for improved usability, and including visual enhancements such as article thumbnails and descriptions. The user also integrated mapping data and addressing warnings. Further work on the repository included contributions to articles and fixing bugs.
statisticsreacthugorstudiomachine-learning
XiangyunHuang/awesome-beamers
Jun 2017 - Jun 2019
Contributions:41 commits, 42 pushes, 1 branch in 2 years
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