Youngjoon Hong
Scholar

Youngjoon Hong

Google Scholar ID: vsmezwMAAAAJ
Seoul National University
Machine LearningScientific ComputingNumerical PDEs
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Citations & Impact
All-time
Citations
555
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
10 items
Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance
2026
Cited
0
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
2026
Cited
0
Discontinuous Galerkin finite element operator network for solving non-smooth PDEs
arXiv.org · 2026
Cited
0
Sobolev Approximation of Deep ReLU Networks in Log-Barron Space
arXiv.org · 2026
Cited
0
A data free neural operator enabling fast inference of 2D and 3D Navier Stokes equations
2025
Cited
0
Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems
2025
Cited
0
Toward a Robust and Generalizable Metamaterial Foundation Model
2025
Cited
0
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Mentoring students in research and writing recommendation letters for eligible candidates.
Research Experience
  • Leading the Machine Learning and Scientific Computing (MLSC) Lab at Seoul National University (SNU).
Background
  • Research interests include scientific machine learning, mathematics of machine learning, numerical analysis, AI for science, and deep generative models: theory and applications.
Miscellany
  • Open to collaborating with highly motivated students interested in long-term research within his field.
Co-authors
0 total
Co-authors: 0 (list not available)