Shuming Liu
Thuwal, Makkah Region, Saudi Arabia
Summary
👤
Senior🎓
Top SchoolShuming 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.
10 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at KAUST (King Abdullah University of Science and Technology)Bachelor's degree, Bachelor's degree at Xi'an Jiaotong UniversityMaster's degree Computer Science, Master's degree Computer Science at Shanghai Jiao Tong University
Chinese, Chinese
Github Skills (28)
video-understanding10
benchmark8
web-application8
evaluation7
pytorch7
action-localization7
multimodal7
command-line-tool6
audio6
agi6
large-language-models6
ssh5
cli5
tui5
self-attention4
Programming languages (5)
Github contributions (5)
sming256/OpenTAD
Mar 2024 - Jul 2026
OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.
Contributions:2 reviews, 12 PRs, 25 pushes in 2 years 3 months
pytorchtemporal-action-detectiontemporal-action-localizationvideo-understanding
sming256/TSI
Sep 2020 - Jan 2022
Contributions:3 commits, 4 pushes, 2 branches in 1 year 3 months
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