Jongheon Jeong
Assistant Professor at Korea University
Seoul, South Korea
Summary
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Senior🎓
Top SchoolJongheon Jeong is an assistant professor at Korea University who leads the Trustworthy AI Lab, focusing on AI safety topics such as robustness to distribution shifts, anomaly detection, and aligning model decisions with human values. He completed a Ph.D. in Electrical Engineering at KAIST under Prof. Jinwoo Shin and won KAIST’s Best Doctoral Dissertation Award in 2024, reflecting both deep theoretical insight and practical impact. Jongheon has industry experience as an applied scientist at AWS and as a machine learning engineer, giving him a strong track record of translating research into real-world systems. His work seeks simple priors that explain why neural networks differ from human reasoning, aiming to close that performance and reliability gap. Based in Seoul, he combines rigorous math-and-CS training with hands-on cloud ML experience, and he was an early recipient of the Qualcomm Innovation Fellowship Korea for his influential papers.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (49)
python10
meta-learning10
machine-learning10
numpy10
classifiers10
deep-learning10
gpu10
neural-network10
contrastive-learning10
generative-adversarial-network9
discriminator9
cnn-architecture9
robustness9
autograd9
unsupervised-learning9
Programming languages (5)
Github contributions (5)
alinlab/smoothing-catrs
Nov 2022 - Jan 2023
Code for the paper "Confidence-aware Training of Smoothed Classifiers for Certified Robustness" (AAAI 2023)
Contributions:10 commits, 7 pushes in 1 month
classifiers
jh-jeong/smoothmix
Oct 2021 - Sep 2022
Contributions:3 commits, 2 pushes in 11 months
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