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ORCIDJonghyun Lee 0005
Person information
- affiliation: University of Hawaii at Manoa, Water Resources Research Center, Department of Civil and Environmental Engineering, Honolulu, HI, USA
- affiliation (PhD 2014): Stanford University, Stanford, CA, USA
Other persons with the same name
- Jonghyun Lee (aka: Jong-Hyun Lee, Jong Hyun Lee) — disambiguation page
- Jonghyun Lee 0001 — Argonne National Lab, IL, USA (and 1 more)
- Jonghyun Lee 0002
![[0000-0001-5569-5258]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5569-5258")
— Konkuk University, Seoul, Korea - Jonghyun Lee 0004 — Seoul National University, Seoul, Korea
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2020 – today
- 2025
[i12]Peter Rivera-Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson:
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics. CoRR abs/2502.14782 (2025)- 2024
- [i11]Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve:
Multi-fidelity Hamiltonian Monte Carlo. CoRR abs/2405.05033 (2024) - 2023
- [i10]Jichao Bao, Hongkyu Yoon, Jonghyun Lee:
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models. CoRR abs/2310.00839 (2023) - 2022
- [j5]Dawoon Lee, Jonghyun Lee, Changsoo Shin, Sungryul Shin, Wookeen Chung:
Elastic Full-Waveform Inversion Using Both the Multiparametric Approximate Hessian and the Discrete Cosine Transform. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - 2021
- [j4]Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve:
PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication. J. Parallel Distributed Comput. 154: 64-73 (2021) - [j3]Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. 1(12): 819-829 (2021) - [c3]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS 2021 - [c2]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2021 - [e2]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021. CEUR Workshop Proceedings 2964, CEUR-WS.org 2021 [contents] - [i9]Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR abs/2105.13136 (2021) - [i8]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Deep learning-based fast solver of the shallow water equations. CoRR abs/2111.11702 (2021) - [i7]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR abs/2111.11719 (2021) - [i6]William Reese, Arvind K. Saibaba, Jonghyun Lee:
Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions. CoRR abs/2111.15620 (2021) - 2020
- [j2]Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long:
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning. Remote. Sens. 12(20): 3364 (2020) - [c1]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2020 - [e1]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020. CEUR Workshop Proceedings 2587, CEUR-WS.org 2020 [contents] - [i5]Sung Eun Kim, Yongwon Seo, Junshik Hwang, Hongkyu Yoon, Jonghyun Lee:
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks. CoRR abs/2006.13304 (2020) - [i4]Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee:
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks. CoRR abs/2011.06776 (2020) - [i3]Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR abs/2011.09707 (2020) - [i2]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Application of deep learning to large scale riverine flow velocity estimation. CoRR abs/2012.02620 (2020)
2010 – 2019
- 2019
- [i1]Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve:
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. CoRR abs/1903.02153 (2019) - 2016
- [j1]Arvind K. Saibaba, Jonghyun Lee, Peter K. Kitanidis:
Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen-Loève expansion. Numer. Linear Algebra Appl. 23(2): 314-339 (2016)
Coauthor Index
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