C: Conference, J: Journal, D : Domestic, P: Preprint
[P] In preparation
[P5] FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
Jae Yong Lee, Gwang Jae Jung*, Byungchan Lim*, Hyung Ju Hwang
Under review. arXiv:2504.20408 [math.NA]
[P4] Deep learning-based moment closure for multi-phase computation of semiclassical limit of the Schrödinger equation
Jin Woo Jang*, Jae Yong Lee*, Liu Liu*, Zhenyi Zhu*
Under review. arXiv:2504.08341 [math.NA]
[P3] Conformal mapping Coordinates Physics-Informed Neural Networks (CoCo-PINNs): learning neural networks for designing neutral inclusions
Daehee Cho, Hyeonmin Yun, Jaeyong Lee*, Mikyoung Lim*
Preprint. arXiv:2501.07809 [cs.LG]
[P2] Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs
Youngjoon Hong*, Seungchan Ko*, Jae Yong Lee*
Under review. arXiv:2404.17868 [math.NA]
[P1] Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations
Jae Yong Lee*, Steffen Schotthöfer*, Tianbai Xiao*, Sebastian Krumscheid**, Martin Frank**
Preprint. arXiv:2402.16613 [math.NA]
[C5] Physics-Informed Neural Operators for Tissue Elasticity Reconstruction
Youjin Kim, Jae Yong Lee*, Junseok Kwon*
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 [Provisional accept: ~9%].
[J6] Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
Jae Yong Lee, Yeoneung Kim
Neurocomputing, 2025.
[C4] Isometric Regularization for Manifolds of Functional Data (Project page)
Hyeongjun Heo, Seonghun Oh, Jae Yong Lee, Young Min Kim*, Yonghyeon Lee*
International Conference on Learning Representation (ICLR), 2025.
[J5] Finite Element Operator Network for Solving Elliptic-type parametric PDEs (Project page)
Jae Yong Lee, Seungchan Ko*, Youngjoon Hong*
SIAM Journal on Scientific Computing (SISC), 2025.
SungWoong Cho*, Jae Yong Lee*, Hyung Ju Hwang
ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024
Jin Young Shin*, Jae Yong Lee*, Hyung Ju Hwang
Transactions on Machine Learning Research (TMLR), 2024,
[D1] 물리 정보 기계학습 의 발전 및 응용
Jae Yong Lee* and Hwijae Son*
전자공학회지 제50권 6호, 2023
Jae Yong Lee, Juhi Jang, Hyung Ju Hwang
Journal of Computational Physics (JCP), 2023.
Jae Yong Lee*, SungWoong Cho*, Hyung Ju Hwang
International Conference on Learning Representation (ICLR), 2023.
[C1] Solving PDE-constrained Control Problems using Operator Learning
Rakhoon Hwang*, Jae Yong Lee*, Jin Young Shin*, Hyung Ju Hwang
Association for the Advancement of Artificial Intelligence (AAAI), 2022.
Jae Yong Lee, Jin Woo Jang, and Hyung Ju Hwang
ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN), 2021.
[J1] Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach
Hyung Ju Hwang*, Jin Woo Jang*, Hyeontae Jo*, and Jae Yong Lee*
Journal of Computational Physics (JCP), 2020.