Huan Ling

Research Scientist at NVIDIA

Old Toronto, Ontario, Canada
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Summary

👤
Senior
🎓
Top School
Huan Ling is a research scientist at NVIDIA with a decade of experience at the intersection of computer vision and machine learning, grounded in a strong academic background from the University of Toronto. He has driven impactful research from internships to production-facing projects, including work on Polygon-RNN++ for interactive segmentation (CVPR 2018) and adversarial contrastive methods (ACL 2018). Huan combines research rigor with practical engineering—having built open-source demos and production prototypes—and has collaborated closely with leading labs like Vector Institute and Borealis AI. His background also spans quantitative systems, with prior experience building portfolio analytics at CPPIB, reflecting an ability to translate advanced models into large-scale, production-relevant systems.
code10 years of coding experience
job1 year of employment as a software developer
bookGrad Student Artificial Intelligence, Grad Student Artificial Intelligence at University of Toronto
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Stackoverflow

Stats
1reputation
328reached
0answers
1question
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Github Skills (31)

face-generation9
generative7
kie6
java6
drools6
generative-adversarial-network6
jbpm6
face-recognition5
keras5
face5
transformers4
pytorch4
polygon4
deep-learning4
image-generation4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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arieling/weiboParsing

Jul 2016 - Feb 2020

Contributions:3 pushes, 1 branch in 3 years 7 months
Contributions:2 commits, 1 PR, 2 pushes in 1 month
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Huan Ling - Research Scientist at NVIDIA