Dongyoon Han
Senior Research Scientist at NAVER Corp
South Korea
Summary
👤
Senior🎓
Top SchoolDongyoon Han is a Senior Research Scientist at NAVER AI Lab and an adjunct professor at KAIST with eight years of experience in large-scale machine learning, language and multi-modal learning, representation learning, and efficient architectures. He holds a PhD in Electrical Engineering from KAIST and blends deep academic training with hands-on research driving practical AI advances. At NAVER he focuses on scalable models and architectures that bridge research and production needs, often emphasizing efficiency without sacrificing performance. His dual role in industry and academia gives him a rare perspective on translating cutting-edge ideas into deployable systems. Visitors to his academic webpage can find detailed publications and projects that reflect a sustained interest in making large models more resource-conscious.
8 years of coding experience
박사 전기 및 전자공학과, 박사 전기 및 전자공학과 at Korea Advanced Institute of Science and Technology
Github Skills (25)
residual-networks10
imagenet10
image-classification10
optimizer10
mobilenet10
resnet10
object-detection10
transfer-learning10
visual-recognition10
backbone10
arxiv10
efficientnet10
pytorch9
incremental-learning9
expansion9
Programming languages (3)
Github contributions (5)
dyhan0920/PyramidNet-PyTorch
Oct 2017 - May 2019
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Contributions:40 commits, 3 PRs, 42 pushes in 1 year 7 months
pytorchimagenetarxivabsresidual-networks
naver-ai/PfLayer
Feb 2022 - Jul 2022
Contributions:11 commits, 9 pushes in 5 months
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