default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYoungjoon Hong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [i18]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) - [i17]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) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
