Youngjoon Hong
Scholar

Youngjoon Hong

Google Scholar ID: vsmezwMAAAAJ
Seoul National University
Machine LearningScientific ComputingNumerical PDEs
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
555
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Publications
12 items
Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting
2026
Cited
0
Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
2026
Cited
0
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
Resume
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.