Xiang Xu

Software Engineer at Microsoft

California, United States
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Summary

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Rockstar
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Top School
Xiang Xu is a software engineer with eight years of experience building low-level Windows system tooling and large-scale AI foundation models. He spent nearly a decade at McAfee developing kernel-level hooks, sandbox-evasion mitigation, and static analysis improvements for complex PE and script-based threats before joining Microsoft in 2021. More recently he contributes to Alibaba Tongyi Lab’s Qwen team, working on image foundation models such as Qwen-Image and Qwen-Image-Edit, blending systems expertise with machine-learning model engineering. Based in California, he bridges security-focused systems programming and cutting-edge ML model development, enabling practical, production-ready solutions. Colleagues describe him as the kind of engineer who moves fluently between kernel internals and model pipelines, with a knack for shipping robust tooling that anticipates adversarial or operational edge cases.
code8 years of coding experience
job9 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at East China University of Technology
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Github Skills (70)

transformers10
benchmark10
python10
attention-mechanism10
deep-learning10
dialogue-systems10
palm10
gemma10
glm10
machine-translation10
in-progress10
multimodal10
video-understanding10
audio10
html10

Programming languages (6)

TypeScriptCSSTeXJavaScriptHTMLPython

Github contributions (5)

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LooperXX/DF-Net

Apr 2020 - Dec 2021

Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"
Contributions:15 commits, 10 pushes, 7 comments in 1 year 8 months
end-to-endtask-oriented-dialoguedialogue-systemsmulti-domain
LooperXX/ProSLU

Dec 2021 - Nov 2022

Open source code and data for AAAI 2022 Oral Paper "Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding"
Contributions:7 commits, 4 pushes, 1 comment in 11 months
language-understandingintent-detectionslot-fillingspoken-language-understandingdialogue-systems
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