Jonghyun Lee

Orcid: 0000-0002-3646-2915

Affiliations:

University of Hawaii at Manoa, Water Resources Research Center, Department of Civil and Environmental Engineering, Honolulu, HI, USA
Stanford University, Stanford, CA, USA (PhD 2014)

According to our database¹, Jonghyun Lee authored at least 16 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Multi-fidelity Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models.

[BibT_eX]

[DOI]

Jichao Bao

Hongkyu Yoon

Jonghyun Lee

CoRR, 2023

2022

Elastic Full-Waveform Inversion Using Both the Multiparametric Approximate Hessian and the Discrete Cosine Transform.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

2021

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2021

PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2021

Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions.

[BibT_eX]

[DOI]

William Reese

Arvind K. Saibaba

Jonghyun Lee

CoRR, 2021

Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Learning-based Fast Solver of the Shallow Water Equations.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Application of deep learning to large scale riverine flow velocity estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry.

[BibT_eX]

[DOI]

CoRR, 2020

Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks.

[BibT_eX]

[DOI]

Sung Eun Kim

Hongkyu Yoon

Jonghyun Lee

CoRR, 2020

Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Preface.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019

PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels.

[BibT_eX]

[DOI]

CoRR, 2019

2016

Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen-Loève expansion.

[BibT_eX]