| Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders K Lee, KT Carlberg Journal of Computational Physics 404, 108973, 2020 | 815 | 2020 |
| DPM: A novel training method for physics-informed neural networks in extrapolation J Kim, K Lee, D Lee, SY Jhin, N Park Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8146-8154, 2021 | 90 | 2021 |
| Machine type communication system KJ Lee, JH Kim, JY Ahn US Patent App. 13/520,837, 2013 | 87 | 2013 |
| Parameterized neural ordinary differential equations: Applications to computational physics problems K Lee, EJ Parish Proceedings of the Royal Society A, 2021 | 81 | 2021 |
| Deep Conservation: A latent-dynamics model for exact satisfaction of physical conservation laws K Lee, K Carlberg Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 277-285, 2021 | 66 | 2021 |
| Machine learning structure preserving brackets for forecasting irreversible processes K Lee, N Trask, P Stinis Advances in Neural Information Processing Systems 34, 5696-5707, 2021 | 51 | 2021 |
| Partition of unity networks: deep hp-approximation K Lee, NA Trask, RG Patel, MA Gulian, EC Cyr arXiv preprint arXiv:2101.11256, 2021 | 47 | 2021 |
| A group-based communication scheme based on the location information of MTC devices in cellular networks K Lee, JS Shin, Y Cho, KS Ko, DK Sung, H Shin 2012 IEEE International Conference on Communications (ICC), 4899-4903, 2012 | 35 | 2012 |
| A preconditioned low-rank projection method with a rank-reduction scheme for stochastic partial differential equations K Lee, HC Elman SIAM Journal on Scientific Computing 39 (5), S828-S850, 2017 | 32 | 2017 |
| Climate modeling with neural diffusion equations J Hwang, J Choi, H Choi, K Lee, D Lee, N Park 2021 IEEE International Conference on Data Mining (ICDM), 230-239, 2021 | 27 | 2021 |
| Apparatus supporting an MBMS service JH Kim, KS Lee, KJ Lee, JY Ahn, YJ Kim US Patent 9,025,520, 2015 | 25 | 2015 |
| Structure-preserving sparse identification of nonlinear dynamics for data-driven modeling K Lee, N Trask, P Stinis Mathematical and Scientific Machine Learning, 65-80, 2022 | 24 | 2022 |
| Projection-based model reduction of dynamical systems using space–time subspace and machine learning C Hoang, K Chowdhary, K Lee, J Ray Computer Methods in Applied Mechanics and Engineering 389, 114341, 2022 | 24 | 2022 |
| Method of channel management for multiple component carrier in mobile communication system KS Lee, JH Kim, KJ Lee US Patent 8,743,720, 2014 | 23 | 2014 |
| Calibrating hypersonic turbulence flow models with the HIFiRE-1 experiment using data-driven machine-learned models K Chowdhary, C Hoang, K Lee, J Ray, VG Weirs, B Carnes Computer Methods in Applied Mechanics and Engineering 401, 115396, 2022 | 22 | 2022 |
| Hypernetwork-based meta-learning for low-rank physics-informed neural networks W Cho, K Lee, D Rim, N Park Advances in Neural Information Processing Systems 36, 11219-11231, 2023 | 21 | 2023 |
| MMGAN: manifold-matching generative adversarial networks N Park, A Anand, JRA Moniz, K Lee, J Choo, DK Park, T Chakraborty, ... 2018 24th international conference on pattern recognition (ICPR), 1343-1348, 2018 | 19 | 2018 |
| Climate modeling with neural advection–diffusion equation H Choi, J Choi, J Hwang, K Lee, D Lee, N Park Knowledge and Information Systems 65 (6), 2403-2427, 2023 | 18 | 2023 |
| A Low-rank solver for the Navier--Stokes equations with uncertain viscosity K Lee, HC Elman, B Sousedik SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1275-1300, 2019 | 17 | 2019 |
| Parameterized Physics-informed Neural Networks for Parameterized PDEs W Cho, M Jo, H Lim, K Lee, D Lee, S Hong, N Park Forty-first International Conference on Machine Learning, 2024 | 16 | 2024 |
Noseong ParkTenured Associate Professor, KAISTOverená e-mailová adresa na: kaist.ac.kr
