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Wooyeol Lee
I am a first-year MS/Ph.D. student in the Department of Biomedical Sciences at Seoul National
University in South Korea. Building upon my undergraduate foundation in computer science, I am
continuing my research at the
Artificial Intelligence & Biomedical Informatics Lab,
advised by Prof. Kyungsu Kim.
My research is driven by the ultimate vision of developing a comprehensive
biomolecular world model. Recognizing that the critical bottleneck in this domain is
data, my primary focus is on resolving the challenges of data scaling. I focus on the
acquisition, processing, and utilization of massive-scale, high-quality structural biology data.
To build this robust data foundation, I am actively exploring advanced technologies, including
Cryo-EM, to push the boundaries of structurally conditioned protein design and generative AI.
Email
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CV
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Github
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LinkedIn
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Research
My research focuses on advancing generative AI, with a core emphasis on macromolecular design and
achieving data scaling for biomolecular world models.
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On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
*, *,
, Wooyeol Lee,
, ,
, †,
†
arXiv preprint, 2025
paper /
project page
Ratio-of-densities steering in diffusion models breaks via Marginal Path Collapse. We introduce
ACE, a provably stable correction that prevents collapse, cuts error >5x, and enables reliable
molecular design.
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ISAC: Training-Free Instance-to-Semantic Attention Control for Improving Multi-Instance
Generation
*, Wooyeol Lee*,
*, †
arXiv preprint, 2025
paper
Aligning guidance strategy with instance-to-semantic dynamics, where instance layouts form first
then semantic details are refined, is crucial for effective multi-instance generation.
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TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
*, *,
Wooyeol Lee, ,
†, †
ICLR 2026 Oral
paper
Diffusion models, capable of generating multiple instances, are secretly powerful annotators for
instance segmentation.
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Website template from
Jon Barron's website. I appreciate
his work in creating such a clean and simple design.
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