Shitao Tang
Research Scientist at NVIDIA
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolShitao Tang is a research scientist based in Vancouver with 11 years of experience building and researching large-scale AI systems, currently contributing to NVIDIA’s CosmoS world foundation model. He holds a PhD in Computer Science from Simon Fraser University and has a strong industry research background with internships at Meta and Alibaba and an early engineering role at ByteDance. Shitao’s work sits at the intersection of academia and product-grade research, bringing theoretical rigor to practical model development and deployment. Colleagues know him for rapidly translating research ideas into scalable prototypes within major AI organizations. His trajectory suggests a knack for moving between deep research problems and high-impact engineering execution.
11 years of coding experience
The University of Nottingham Ningbo ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Simon Fraser University
Github Skills (81)
backbone10
quadtree10
feature-matching10
youtube9
efficientnet9
action-recognition9
matching9
detector9
computer-vision8
scale8
audio8
flux8
semantic-segmentation8
large-scale8
network-analysis7
Programming languages (3)
Github contributions (5)
Tangshitao/QuadTreeAttention
Dec 2021 - Oct 2022
QuadTree Attention for Vision Transformers (ICLR2022)
Contributions:6 releases, 14 commits, 2 PRs in 9 months
pytorchtransformersvisionbackbonedeep-learning
Tangshitao/ClipShots
Jul 2018 - Nov 2021
ClipShots is the first large-scale dataset for shot boundary detection collected from Youtube and Weibo covering more than 20 categories, including sports, TV shows, animals, etc.
Contributions:18 commits, 1 PR, 19 pushes in 3 years 4 months
boundary-detectionboundarytv-showsdatasetcomputer-vision
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