Yunho Jeon
Assistant Professor at Hanbat National University
Daejeon, South Korea
Summary
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Senior🎓
Top SchoolYunho Jeon is an assistant professor at Hanbat National University with nine years of experience bridging applied AI research and industry R&D. His work focuses on optimizing the efficiency of deep neural networks, particularly for computer vision and time-series analytics, and he brings practical production insight from prior roles as CTO at a startup and research scientist positions at SK Telecom and the Agency for Defense Development. Trained at Seoul National University and KAIST (PhD), he combines rigorous academic methods with real-world system constraints to push lightweight, deployable models. Known for tackling efficiency trade-offs, he often emphasizes model compression and runtime optimization that make research feasible for constrained environments. Based in Daejeon, he balances teaching and academic leadership with technology commercialization experience, making him adept at translating novel algorithms into operational solutions.
9 years of coding experience
15 years of employment as a software developer
Master's degree, Master's degree at 서울대학교 (Seoul National University)Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at 한국과학기술원(KAIST)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
model-compression9
python9
machine-learning9
nas9
deep-learning9
hyperparameter-tuning8
neural-architecture-search8
automated-machine-learning8
tensorflow8
feature-engineering8
neural-network8
shift8
data-science7
parameter-tuning7
machine-learning-algorithms7
Programming languages (2)
Github contributions (5)
jyh2986/Active-Shift
Sep 2018 - Mar 2019
Contributions:10 commits, 12 pushes, 2 comments in 6 months
jyh2986/Active-Shift-TF
Sep 2018 - Mar 2019
Tensorflow implementation for Active Shift Layer(ASL)
Contributions:5 commits, 2 PRs, 11 pushes in 6 months
shifttensorflowasl
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