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Youngjoon Jeong
I am a Ph.D. student in the Graduate School of Data Science at Seoul National University, advised by Taesup Kim.
I received my B.S. and M.S. in Rural Systems Engineering (Agricultural Engineering) from Seoul National University.
I am broadly interested in physical AI and world models.
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News
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Jun 2026
Two preprints, PoLAR and J-PARC, are now available on arXiv.
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Feb 2026
VILA was accepted to CVPR 2026.
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Jan 2026
Sparse Imagination was accepted to ICLR 2026.
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Research Interests
My research focuses on representation learning for physical AI, especially latent actions and world models for robot policy learning, visual planning, and robust embodied decision-making.
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Publications
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PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
Youngjoon Jeong, Jihwan Yu, Minsoo Jo, Junha Chun, Taesup Kim
arXiv preprint, 2026
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Uncovering Vulnerability of Vision-Language-Action Models under Joint-Level Physical Faults
Minsoo Jo, Taeju Kwon, Junha Chun, Youngjoon Jeong, Taesup Kim
arXiv preprint, 2026
arXiv
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Learning to Act Robustly with View-Invariant Latent Actions
Youngjoon Jeong*, Junha Chun*, Taesup Kim (* Equal Contribution)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
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arXiv
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Sparse Imagination for Efficient Visual World Model Planning
Junha Chun*, Youngjoon Jeong*, Taesup Kim (* Equal Contribution)
International Conference on Learning Representations, 2026
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arXiv
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Object-centric world model for language-guided manipulation
Youngjoon Jeong*, Junha Chun*, Soonwoo Cha, Taesup Kim (* Equal Contribution)
ICLR World Model Workshop, 2025
arXiv
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Piecewise physics-informed neural networks for surrogate modelling of non-smooth system in elasticity problems using domain decomposition
Youngjoon Jeong*, Sang-ik Lee*, Jong-hyuk Lee, Won Choi (* Equal Contribution)
Biosystems Engineering, 2025
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Data-efficient surrogate modeling using meta-learning and physics-informed deep learning approaches
Youngjoon Jeong, Sang-ik Lee, Jong-hyuk Lee, Won Choi
Expert Systems with Applications, 2024
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Development of numerical land surface temperature model of Jeju Island, South Korea based on finite element method
Youngjoon Jeong, Sang-ik Lee, Jong-hyuk Lee, Seon Deok Jin, Se Hwan Son, Won Choi
Environmental Earth Sciences, 2021
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