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Jae Yong Lee
Jae Yong Lee
Assistant Professor, Department of AI, Chung-Ang University
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Solving pde-constrained control problems using operator learning
R Hwang, JY Lee, JY Shin, HJ Hwang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4504-4512, 2022
452022
Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach
HJ Hwang, JW Jang, H Jo, JY Lee
Journal of Computational Physics 419, 109665, 2020
372020
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
JY Lee, SW Cho, HJ Hwang
International Conference on Learning Representations, 2023
252023
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach
JY Lee, JW Jang, HJ Hwang
ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN) 55 (5 ¡¦, 2021
162021
Finite element operator network for solving parametric pdes
JY Lee, S Ko, Y Hong
arXiv preprint arXiv:2308.04690, 2023
92023
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
JY Lee, J Jang, HJ Hwang
Journal of Computational Physics 480, 112031, 2023
72023
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids
SW Cho, JY Lee, HJ Hwang
arXiv preprint arXiv:2402.08187, 2024
6*2024
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs
Y Hong, S Ko, J Lee
arXiv preprint arXiv:2404.17868, 2024
32024
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations
JY Shin, JY Lee, HJ Hwang
Transactions on Machine Learning Research (TMLR), 2024
3*2024
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations
JY Lee, S Schotthöfer, T Xiao, S Krumscheid, M Frank
arXiv preprint arXiv:2402.16613, 2024
32024
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
JY Lee, Y Kim
arXiv preprint arXiv:2406.10920, 2024
12024
Conformal mapping Coordinates Physics-Informed Neural Networks (CoCo-PINNs): learning neural networks for designing neutral inclusions
D Cho, H Yun, J Lee, M Lim
arXiv preprint arXiv:2501.07809, 2025
2025
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ÀüÀÚ°øÇÐȸÁö 50 (No.6), 50-58, 2023
2023
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