Xiangmin Han

Postdoctoral Researcher at Tsinghua University

Haidian District, Beijing, China
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Summary

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Senior
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Xiangmin Han is a postdoctoral researcher at Tsinghua University with nine years of research and development experience focused on hypergraph computation and medical image analysis. He holds a PhD in Artificial Intelligence from Shanghai University and applies advanced graph-based methods to brain network and pathological image analysis. At Tsinghua he bridges theoretical graph algorithms with practical healthcare imaging problems, producing work that spans algorithm design, model development, and domain-specific evaluation. Known for tackling complex, high-dimensional biomedical data, he brings a rigorous academic background to collaborative projects in Beijing’s thriving research ecosystem. Less obvious: he combines deep algorithmic insight with hands-on implementation experience, enabling reproducible pipelines that translate research into usable tools for clinical and neuroscience partners.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Shanghai University
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Github Skills (58)

classification10
annotations10
semantic-segmentation10
cpu10
rectangle10
image-processing9
python9
image-annotation9
torcs9
machine-learning9
polygon9
deep-learning9
computer-vision9
keras-neural-networks8
tensorflow8

Programming languages (5)

TypeScriptC#C++JavaScriptPython

Github contributions (5)

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label with dicom and ima
Contributions:3 releases, 18 commits, 2 PRs in 4 months
imapythondicom
niharikag/svmplus

Oct 2019 - May 2023

Implimentation of SVM+
Contributions:4 PRs in 3 years 7 months
svmsvg
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Xiangmin Han - Postdoctoral Researcher at Tsinghua University