Youngjoon Hong
Orcid: 0000-0003-0192-8161
According to our database1,
Youngjoon Hong
authored at least 41 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Corrigendum to "Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning" [Neural Networks Volume 178, October (2024), 1-11/106414]].
Neural Networks, 2025
2024
Neural Networks, 2024
A novel physics-aware graph network using high-order numerical methods in weather forecasting model.
Knowl. Based Syst., 2024
J. Comput. Appl. Math., 2024
Expert Syst. Appl., 2024
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data.
CoRR, 2024
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs.
CoRR, 2024
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation.
CoRR, 2024
Comput. Math. Appl., 2024
2023
Semi-analytic physics informed neural network for convection-dominated boundary layer problems in 2D.
CoRR, 2023
CoRR, 2023
Unsupervised Legendre-Galerkin Neural Network for Solving Partial Differential Equations.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs.
CoRR, 2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks.
CoRR, 2022
CoRR, 2022
Unsupervised Legendre-Galerkin Neural Network for Stiff Partial Differential Equations.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning.
IEEE Trans. Signal Process., 2021
A Rigorous Numerical Analysis of the Transformed Field Expansion Method for Diffraction by Periodic, Layered Structures.
SIAM J. Numer. Anal., 2021
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations.
IEEE Access, 2021
IEEE Access, 2021
2020
Numerical Simulations of the Two-Dimensional Inviscid Hydrostatic Primitive Equations with Humidity and Saturation.
J. Sci. Comput., 2020
Enriched numerical scheme for singularly perturbed barotropic Quasi-Geostrophic equations.
J. Comput. Phys., 2020
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2018
J. Sci. Comput., 2018
A high-order perturbation of surfaces method for vector electromagnetic scattering by doubly layered periodic crossed gratings.
J. Comput. Phys., 2018
2017
A high-order perturbation of surfaces method for scattering of linear waves by periodic multiply layered gratings in two and three dimensions.
J. Comput. Phys., 2017
A stable high-order perturbation of surfaces method for numerical simulation of diffraction problems in triply layered media.
J. Comput. Phys., 2017
2016
2015
J. Sci. Comput., 2015
2014
Numerische Mathematik, 2014
A higher order Finite Volume resolution method for a system related to the inviscid primitive equations in a complex domain.
Numerische Mathematik, 2014
2013
Singularly perturbed reaction-diffusion equations in a circle with numerical applications.
Int. J. Comput. Math., 2013
2012