Shuming Liu

Research Scientist Intern at Meta

Thuwal, Makkah Region, Saudi Arabia
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Summary

👤
Senior
🎓
Top School
Shuming Liu is a PhD candidate in Computer Science at KAUST with nine years of research and engineering experience, currently interning as a Research Scientist at Meta. His background spans rigorous academic training from Xi'an Jiaotong and Shanghai Jiao Tong Universities to applied research roles, blending deep theoretical understanding with hands-on implementation. He has worked as a research assistant on projects at top Chinese institutions and now contributes to industrial-scale research at Meta from Thuwal, Saudi Arabia. Known for bridging academic research and practical systems, he focuses on turning complex machine learning and CS problems into reproducible, production-aware solutions.
code9 years of coding experience
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KAUST (King Abdullah University of Science and Technology)
bookBachelor's degree, Bachelor's degree at Xi'an Jiaotong University
bookMaster's degree Computer Science, Master's degree Computer Science at Shanghai Jiao Tong University
languagesChinese, Chinese
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Github Skills (22)

video-understanding10
web-application7
command-line-tool6
ssh6
cli6
action-localization6
quantile5
tui5
self-attention4
optical-flow4
rust4
computer-vision4
cmd4
activitypub3
python3

Programming languages (4)

TypeScriptJavaScriptJupyter NotebookPython

Github contributions (5)

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sming256/TSI

Sep 2020 - Jan 2022

Contributions:3 commits, 4 pushes, 2 branches in 1 year 3 months
sming256/OpenTAD

Mar 2024 - Apr 2025

OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.
Contributions:2 reviews, 12 PRs, 24 pushes in 1 year
temporal-action-detectiontemporal-action-localizationvideo-understanding
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Shuming Liu - Research Scientist Intern at Meta