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Youngjoon Hong
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2020 – today
- 2024
- [j22]Teng-Yuan Chang, Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung:
Singular layer physics informed neural network method for plane parallel flows. Comput. Math. Appl. 166: 91-105 (2024) - [j21]Soohan Kim, Jimyeong Kim, Hong Kee Sul, Youngjoon Hong:
An adaptive dual-level reinforcement learning approach for optimal trade execution. Expert Syst. Appl. 252: 124263 (2024) - [j20]Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Tselmuun Munkhjin:
Semi-analytic PINN methods for boundary layer problems in a rectangular domain. J. Comput. Appl. Math. 450: 115989 (2024) - [j19]Yunchang Seol, Suho Kim, Minwoo Jung, Youngjoon Hong:
A novel physics-aware graph network using high-order numerical methods in weather forecasting model. Knowl. Based Syst. 300: 112158 (2024) - [j18]Sanghyeon Kim, Hyunmo Yang, Yunghyun Kim, Youngjoon Hong, Eunbyung Park:
Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning. Neural Networks 178: 106414 (2024) - [i19]Jaemin Oh, Seung-Yeon Cho, Seok-Bae Yun, Eunbyung Park, Youngjoon Hong:
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation. CoRR abs/2403.06342 (2024) - [i18]Youngjoon Hong, Seungchan Ko, Jae Yong Lee:
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs. CoRR abs/2404.17868 (2024) - [i17]Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park:
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR abs/2410.06442 (2024) - 2023
- [j17]Junho Choi, Namjung Kim, Youngjoon Hong:
Unsupervised Legendre-Galerkin Neural Network for Solving Partial Differential Equations. IEEE Access 11: 23433-23446 (2023) - [c4]Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. AAAI 2023: 8186-8194 - [c3]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable Physics-Informed Neural Networks. NeurIPS 2023 - [i16]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable Physics-Informed Neural Networks. CoRR abs/2306.15969 (2023) - [i15]Jae Yong Lee, Seungchan Ko, Youngjoon Hong:
Finite Element Operator Network for Solving Parametric PDEs. CoRR abs/2308.04690 (2023) - [i14]Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park:
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning. CoRR abs/2309.06922 (2023) - [i13]Junho Choi, Taehyun Yun, Namjung Kim, Youngjoon Hong:
Spectral operator learning for parametric PDEs without data reliance. CoRR abs/2310.02013 (2023) - [i12]Teng-Yuan Chang, Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung:
Singular layer Physics Informed Neural Network method for Plane Parallel Flows. CoRR abs/2311.15304 (2023) - [i11]Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Dongseok Lee:
Semi-analytic physics informed neural network for convection-dominated boundary layer problems in 2D. CoRR abs/2312.03295 (2023) - [i10]Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Tselmuun Munkhjin:
Semi-analytic PINN methods for boundary layer problems in a rectangular domain. CoRR abs/2312.06278 (2023) - 2022
- [c2]Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim:
Invertible Monotone Operators for Normalizing Flows. NeurIPS 2022 - [i9]Junho Choi, Namjung Kim, Youngjoon Hong:
Unsupervised Legendre-Galerkin Neural Network for Stiff Partial Differential Equations. CoRR abs/2207.10241 (2022) - [i8]Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. CoRR abs/2207.12800 (2022) - [i7]Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung:
Semi-analytic PINN methods for singularly perturbed boundary value problems. CoRR abs/2208.09145 (2022) - [i6]Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim:
Invertible Monotone Operators for Normalizing Flows. CoRR abs/2210.08176 (2022) - [i5]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks. CoRR abs/2211.08761 (2022) - [i4]Seungchan Ko, Seok-Bae Yun, Youngjoon Hong:
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs. CoRR abs/2211.08900 (2022) - 2021
- [j16]Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. IEEE Access 9: 53804-53810 (2021) - [j15]Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim:
Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. IEEE Access 9: 146938-146947 (2021) - [j14]Youngjoon Hong, David P. Nicholls:
A Rigorous Numerical Analysis of the Transformed Field Expansion Method for Diffraction by Periodic, Layered Structures. SIAM J. Numer. Anal. 59(1): 456-476 (2021) - [j13]Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning. IEEE Trans. Signal Process. 69: 6473-6487 (2021) - 2020
- [j12]Mickaël D. Chekroun, Youngjoon Hong, Roger Temam:
Enriched numerical scheme for singularly perturbed barotropic Quasi-Geostrophic equations. J. Comput. Phys. 416: 109493 (2020) - [j11]Arthur Bousquet, Youngjoon Hong, Roger Temam, Joseph J. Tribbia:
Numerical Simulations of the Two-Dimensional Inviscid Hydrostatic Primitive Equations with Humidity and Saturation. J. Sci. Comput. 83(2): 36 (2020) - [c1]Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim:
Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. ECCV (9) 2020: 416-432 - [i3]Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. CoRR abs/2007.06117 (2020) - [i2]Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim:
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods. CoRR abs/2010.10047 (2020) - [i1]Bryce Chudomelka, Youngjoon Hong, Hyunwoo J. Kim, Jinyoung Park:
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. CoRR abs/2010.12975 (2020)
2010 – 2019
- 2018
- [j10]Youngjoon Hong, David P. Nicholls:
A high-order perturbation of surfaces method for vector electromagnetic scattering by doubly layered periodic crossed gratings. J. Comput. Phys. 372: 748-772 (2018) - [j9]Youngjoon Hong, Chang-Yeol Jung:
Enriched Spectral Method for Stiff Convection-Dominated Equations. J. Sci. Comput. 74(3): 1325-1346 (2018) - 2017
- [j8]Youngjoon Hong, David P. Nicholls:
A stable high-order perturbation of surfaces method for numerical simulation of diffraction problems in triply layered media. J. Comput. Phys. 330: 1043-1068 (2017) - [j7]Youngjoon Hong, David P. Nicholls:
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. 345: 162-188 (2017) - 2016
- [j6]Youngjoon Hong:
Global attractor of atmospheric equations. Asymptot. Anal. 96(2): 91-107 (2016) - 2015
- [j5]Youngjoon Hong:
Numerical Approximation of the Singularly Perturbed Heat Equation in a Circle. J. Sci. Comput. 62(1): 1-24 (2015) - 2014
- [j4]Youngjoon Hong, Chang-Yeol Jung, Roger Temam:
On the numerical approximations of stiff convection-diffusion equations in a circle. Numerische Mathematik 127(2): 291-313 (2014) - [j3]Arthur Bousquet, Gung-Min Gie, Youngjoon Hong, Jacques Laminie:
A higher order Finite Volume resolution method for a system related to the inviscid primitive equations in a complex domain. Numerische Mathematik 128(3): 431-461 (2014) - 2013
- [j2]Youngjoon Hong, Chang-Yeol Jung, Jacques Laminie:
Singularly perturbed reaction-diffusion equations in a circle with numerical applications. Int. J. Comput. Math. 90(11): 2308-2325 (2013) - 2012
- [j1]Qingshan Chen, Youngjoon Hong, Roger Temam:
Analysis of a Penalty Method. J. Sci. Comput. 53(1): 3-34 (2012)
Coauthor Index
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