Youngjoon Hong

65 papers A* 5Journal 59Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discontinuous Galerkin finite element operator network for solving non-smooth PDEs. CoRR Kapil Chawla, Youngjoon Hong, Jae Yong Lee, Sanghyun Lee
2026	J	`jnl`	Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance. CoRR Inho Kong, Sojin Lee, Youngjoon Hong, Hyunwoo J. Kim
2026	J	`jnl`	Extreme Weather Nowcasting via Local Precipitation Pattern Prediction. CoRR Changhoon Song, Teng-Yuan Chang, Youngjoon Hong
2026	J	`jnl`	Singular layer physics-informed neural network method for convection-dominated boundary layer problems in two dimensions. J. Comput. Appl. Math. Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Dongseok Lee
2026	J	`jnl`	Sobolev Approximation of Deep ReLU Networks in Log-Barron Space. CoRR Changhoon Song, Seungchan Ko, Youngjoon Hong
2026	J	`jnl`	Spectral coefficient learning via operator networks for inverse problems of parametric partial differential equations. Eng. Appl. Artif. Intell. Myeong-Su Lee, Taehyun Yun, Youngjoon Hong, Namjung Kim
2025	J	`jnl`	A data free neural operator enabling fast inference of 2D and 3D Navier Stokes equations. CoRR Junho Choi, Teng-Yuan Chang, Namjung Kim, Youngjoon Hong
2025	J	`jnl`	Corrigendum to "Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning" [Neural Networks Volume 178, October (2024), 1-11/106414]]. Neural Networks Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park
2025	J	`jnl`	Data-free Asymptotics-Informed Operator Networks for Singularly Perturbed PDEs. CoRR Jinsil Lee, Youngjoon Hong, Seungchan Ko, Jae Yong Lee
2025	J	`jnl`	Finite Element Operator Network for Solving Elliptic-Type Parametric PDEs. SIAM J. Sci. Comput. Jae Yong Lee, Seungchan Ko, Youngjoon Hong
2025	J	`jnl`	Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems. CoRR Jaemin Oh, Jinsil Lee, Youngjoon Hong
2025	A*	`conf`	PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations. ICLR Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park
2025	J	`jnl`	Physically interpretable discrete latent representations for the design of advanced mechanical metamaterials in complex geometries. Eng. Appl. Artif. Intell. Hansom Choi, Youngjoon Hong, Namjung Kim
2025	J	`jnl`	Separable Physics-Informed Neural Networks for Solving the BGK Model of the Boltzmann Equation. SIAM J. Sci. Comput. Jaemin Oh, Seung-Yeon Cho, Seok-Bae Yun, Eunbyung Park, Youngjoon Hong
2025	J	`jnl`	Toward a Robust and Generalizable Metamaterial Foundation Model. CoRR Namjung Kim, Dongseok Lee, Jongbin Yu, Sung Woong Cho, Dosung Lee, Yesol Park, Youngjoon Hong
2024	J	`jnl`	A novel physics-aware graph network using high-order numerical methods in weather forecasting model. Knowl. Based Syst. Yunchang Seol, Suho Kim, Minwoo Jung, Youngjoon Hong
2024	J	`jnl`	An adaptive dual-level reinforcement learning approach for optimal trade execution. Expert Syst. Appl. Soohan Kim, Jimyeong Kim, Hong Kee Sul, Youngjoon Hong
2024	A*	`conf`	Constant Acceleration Flow. NeurIPS Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024	J	`jnl`	Constant Acceleration Flow. CoRR Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024	J	`jnl`	Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs. CoRR Youngjoon Hong, Seungchan Ko, Jae Yong Lee
2024	J	`jnl`	Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks. CoRR Myeong-Su Lee, Jaemin Oh, Dong-chan Lee, KangWook Lee, Sooncheol Park, Youngjoon Hong
2024	J	`jnl`	Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning. Neural Networks Sanghyeon Kim, Hyunmo Yang, Yunghyun Kim, Youngjoon Hong, Eunbyung Park
2024	J	`jnl`	MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park
2024	J	`jnl`	PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations. CoRR Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park
2024	J	`jnl`	Semi-analytic PINN methods for boundary layer problems in a rectangular domain. J. Comput. Appl. Math. Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Tselmuun Munkhjin
2024	J	`jnl`	Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation. CoRR Jaemin Oh, Seung-Yeon Cho, Seok-Bae Yun, Eunbyung Park, Youngjoon Hong
2024	J	`jnl`	Singular layer PINN methods for Burgers' equation. CoRR Teng-Yuan Chang, Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung
2024	J	`jnl`	Singular layer physics informed neural network method for plane parallel flows. Comput. Math. Appl. Teng-Yuan Chang, Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung
2023	J	`jnl`	Finite Element Operator Network for Solving Parametric PDEs. CoRR Jae Yong Lee, Seungchan Ko, Youngjoon Hong
2023	J	`jnl`	Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning. CoRR Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park
2023	A*	`conf`	PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. AAAI Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park
2023	J	`jnl`	Semi-analytic PINN methods for boundary layer problems in a rectangular domain. CoRR Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Tselmuun Munkhjin
2023	J	`jnl`	Semi-analytic physics informed neural network for convection-dominated boundary layer problems in 2D. CoRR Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Dongseok Lee
2023	A*	`conf`	Separable Physics-Informed Neural Networks. NeurIPS Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
2023	J	`jnl`	Separable Physics-Informed Neural Networks. CoRR Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
2023	J	`jnl`	Singular layer Physics Informed Neural Network method for Plane Parallel Flows. CoRR Teng-Yuan Chang, Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung
2023	J	`jnl`	Spectral operator learning for parametric PDEs without data reliance. CoRR Junho Choi, Taehyun Yun, Namjung Kim, Youngjoon Hong
2023	J	`jnl`	Unsupervised Legendre-Galerkin Neural Network for Solving Partial Differential Equations. IEEE Access Junho Choi, Namjung Kim, Youngjoon Hong
2022	J	`jnl`	Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs. CoRR Seungchan Ko, Seok-Bae Yun, Youngjoon Hong
2022	A*	`conf`	Invertible Monotone Operators for Normalizing Flows. NeurIPS Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
2022	J	`jnl`	Invertible Monotone Operators for Normalizing Flows. CoRR Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
2022	J	`jnl`	PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. CoRR Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park
2022	J	`jnl`	Semi-analytic PINN methods for singularly perturbed boundary value problems. CoRR Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung
2022	J	`jnl`	Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks. CoRR Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
2022	J	`jnl`	Unsupervised Legendre-Galerkin Neural Network for Stiff Partial Differential Equations. CoRR Junho Choi, Namjung Kim, Youngjoon Hong
2021	J	`jnl`	A Rigorous Numerical Analysis of the Transformed Field Expansion Method for Diffraction by Periodic, Layered Structures. SIAM J. Numer. Anal. Youngjoon Hong, David P. Nicholls
2021	J	`jnl`	Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning. IEEE Trans. Signal Process. Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon
2021	J	`jnl`	Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. IEEE Access Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon
2021	J	`jnl`	Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. IEEE Access Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim
2020	J	`jnl`	Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. CoRR Bryce Chudomelka, Youngjoon Hong, Hyunwoo J. Kim, Jinyoung Park
2020	J	`jnl`	Enriched numerical scheme for singularly perturbed barotropic Quasi-Geostrophic equations. J. Comput. Phys. Mickaël D. Chekroun, Youngjoon Hong, Roger Temam
2020	J	`jnl`	Numerical Simulations of the Two-Dimensional Inviscid Hydrostatic Primitive Equations with Humidity and Saturation. J. Sci. Comput. Arthur Bousquet, Youngjoon Hong, Roger Temam, Joseph J. Tribbia
2020	J	`jnl`	Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. CoRR Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon
2020	—	`conf`	Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. ECCV (9) Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
2020	J	`jnl`	Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods. CoRR Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
2018	J	`jnl`	A high-order perturbation of surfaces method for vector electromagnetic scattering by doubly layered periodic crossed gratings. J. Comput. Phys. Youngjoon Hong, David P. Nicholls
2018	J	`jnl`	Enriched Spectral Method for Stiff Convection-Dominated Equations. J. Sci. Comput. Youngjoon Hong, Chang-Yeol Jung
2017	J	`jnl`	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. Youngjoon Hong, David P. Nicholls
2017	J	`jnl`	A stable high-order perturbation of surfaces method for numerical simulation of diffraction problems in triply layered media. J. Comput. Phys. Youngjoon Hong, David P. Nicholls
2016	J	`jnl`	Global attractor of atmospheric equations. Asymptot. Anal. Youngjoon Hong
2015	J	`jnl`	Numerical Approximation of the Singularly Perturbed Heat Equation in a Circle. J. Sci. Comput. Youngjoon Hong
2014	J	`jnl`	A higher order Finite Volume resolution method for a system related to the inviscid primitive equations in a complex domain. Numerische Mathematik Arthur Bousquet, Gung-Min Gie, Youngjoon Hong, Jacques Laminie
2014	J	`jnl`	On the numerical approximations of stiff convection-diffusion equations in a circle. Numerische Mathematik Youngjoon Hong, Chang-Yeol Jung, Roger Temam
2013	J	`jnl`	Singularly perturbed reaction-diffusion equations in a circle with numerical applications. Int. J. Comput. Math. Youngjoon Hong, Chang-Yeol Jung, Jacques Laminie
2012	J	`jnl`	Analysis of a Penalty Method. J. Sci. Comput. Qingshan Chen, Youngjoon Hong, Roger Temam