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

  • Jun 2026 Two preprints, PoLAR and J-PARC, are now available on arXiv.
  • Feb 2026 VILA was accepted to CVPR 2026.
  • Jan 2026 Sparse Imagination was accepted to ICLR 2026.

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.

Publications

PoLAR thumbnail 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
project page / arXiv / code
J-PARC thumbnail 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
VILA thumbnail 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
project page / arXiv
Sparse Imagination thumbnail Sparse Imagination for Efficient Visual World Model Planning
Junha Chun*, Youngjoon Jeong*, Taesup Kim   (* Equal Contribution)
International Conference on Learning Representations, 2026
project page / OpenReview / arXiv
Object-centric world model thumbnail Object-centric world model for language-guided manipulation
Youngjoon Jeong*, Junha Chun*, Soonwoo Cha, Taesup Kim   (* Equal Contribution)
ICLR World Model Workshop, 2025
arXiv
Piecewise PINN thumbnail 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
journal
Data-efficient surrogate modeling thumbnail 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
journal
Jeju land surface temperature thumbnail 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
journal

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