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.

Email / CV / Scholar / Github / LinkedIn

Research Interests

My research develops video-based representation learning and world models for physical AI, with the ultimate goal of enabling robust robotic decision-making from human videos.

Publications

	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 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 for language-guided manipulation Youngjoon Jeong, Junha Chun, Soonwoo Cha, Taesup Kim (* Equal Contribution) ICLR World Model Workshop, 2025 arXiv
	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 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
	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

Education

Ph.D. in Data Science, Seoul National University, Sep 2023 – Present (Advisor: Taesup Kim)
M.S. in Rural Systems Engineering (Agricultural Engineering), Seoul National University, Mar 2020 – Feb 2022 (Advisor: Won Choi, GPA 4.26/4.3)
B.S. in Rural Systems Engineering (Agricultural Engineering), Seoul National University, Mar 2016 – Feb 2020 (GPA 3.96/4.3, Summa Cum Laude)

Skills

Robotics Hardware: LeRobot SO-101, Trossen Robotics WidowX
Deep Learning: PyTorch, Hugging Face Accelerate, Hydra, Weights & Biases, TensorBoard
Robot Learning Libraries: LeRobot (Hugging Face)
Simulation Environments: MuJoCo, Robosuite
Software/Tooling: Linux, Git, Slurm

Awards & Honors

Creative Excellence Award, K-DS Conference (2024)
AIM Student Oral Presentation Competition Award, ASABE, USA (2021)
Paper Award, Korean Society of Agricultural Engineers (2021)
Best Thesis Award, Dept. of Landscape Architecture and Rural Systems Engineering, SNU (2020)
Graduation with Honors: Summa Cum Laude (2nd/32), SNU (2020)
Dean’s List, College of Agriculture and Life Sciences, SNU (2018)
Scholarships: Full-tuition academic excellence scholarships (2017–2023) including BK21 and SNU/affiliated foundations

Services

Reviewer: ICLR World Model Workshop (2025, 2026), Mila World Modeling Workshop (2026)

Teaching

L0444.000400 Basic Computing: Teaching Assistant (Fall 2023, Winter 2023, Spring 2024, Fall 2024)
5272.222(001) Applied Software Engineering: Teaching Assistant (Fall 2020, Fall 2021)

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