Xiaohan Chen

Applied Scientist at Amazon

Austin, Texas, United States
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Summary

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Senior
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Top School
Xiaohan Chen is an applied scientist with nine years of experience specializing in computer vision, machine learning, deep learning, and optimization, currently driving research-to-product work at Amazon from Austin. With a trajectory through doctoral research at Texas A&M and UT Austin and a senior algorithm role at Alibaba, Xiaohan blends rigorous academic foundations (Applied Mathematics and advanced ECE/CS training) with industry-scale deployment experience. They focus on turning novel models and optimization techniques into robust, production-ready solutions across visual AI problems. Notably, their career bridges both international tech ecosystems and US research institutions, giving them a pragmatic perspective on scaling algorithms in diverse operational environments.
code9 years of coding experience
job3 years of employment as a software developer
bookElectrical and Computer Engineering, Electrical and Computer Engineering at The University of Texas at Austin
bookBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of Science and Technology of China
bookComputer Science, Computer Science at Texas A&M University
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Github Skills (53)

convergence9
meta-learning9
plugin8
benchmark7
optimizer7
convex-optimization7
docker-machine7
optimization6
multiarch6
lottery6
python6
arxiv5
openflow5
deep-learning5
linux5

Programming languages (8)

JavaC++JavaScriptGoLuaVim scriptJupyter NotebookPython

Github contributions (5)

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VITA-Group/ALISTA

Feb 2019 - Feb 2020

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Contributions:10 commits, 2 PRs, 2 pushes in 11 months
iclranalyticdeep-learninglearnedweights
xhchrn/website

Aug 2019 - Oct 2024

Contributions:35 pushes, 1 branch in 5 years 3 months
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Xiaohan Chen - Applied Scientist at Amazon