Kezhi Kong
Senior Research Scientist at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolKezhi Kong is a Senior Research Scientist at NVIDIA with nine years of experience advancing machine learning research, specializing in scalable and universally effective Graph Neural Networks. With a PhD from the University of Maryland and a strong foundation from Zhejiang University’s Chu Kochen Honors College, he has contributed across adversarial learning, semi-supervised and meta learning, and medical imaging. His trajectory includes multiple internships and research roles at AWS, Comcast, and NVIDIA, where he progressed from intern to senior scientist, reflecting both depth and rapid advancement. Kezhi maintains an active research presence (devnkong.github.io) and brings a pragmatic focus on turning theoretical graph methods into scalable, real-world systems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of MarylandHigh School Diploma, High School Diploma at Zhengzhou Foreign Language SchoolBachelor's degree, Computer Science, Chu Kochen Honors College, Bachelor's degree, Computer Science, Chu Kochen Honors College at Zhejiang University
Github Skills (52)
pytorch10
graph10
graph-convolutional-networks10
decomposition9
geometric-deep-learning9
ranking9
deep-learning9
react9
graph-neural-network9
data-augmentation9
python8
science8
typescript8
machine-learning8
datasets8
Programming languages (4)
Github contributions (5)
devnkong/FLAG
Oct 2020 - Apr 2022
Adversarial Data Augmentation for Graph Neural Networks.
Contributions:1 review, 68 commits, 1 PR in 1 year 5 months
pytorchdeep-learningadversarialneural-graphneural-networks
devnkong/armory-submission
Jun 2020 - Jan 2022
Contributions:32 pushes, 1 branch in 1 year 6 months
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