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Kookjin Lee
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2020 – today
- 2024
- [c22]Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi
, Noseong Park:
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI 2024: 11543-11551 - [c21]Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee:
Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. CIKM 2024: 2534-2543 - [c20]Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park:
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR 2024 - [c19]Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park:
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR 2024 - [c18]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. ICML 2024 - [c17]Fan Wu
Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media. WWW 2024: 2615-2626 - [i31]Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park:
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR abs/2402.12721 (2024) - [i30]Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask:
Efficiently Parameterized Neural Metriplectic Systems. CoRR abs/2405.16305 (2024) - [i29]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. CoRR abs/2408.09446 (2024) - [i28]Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang:
Latent Space Energy-based Neural ODEs. CoRR abs/2409.03845 (2024) - [i27]Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper:
FastLRNR and Sparse Physics Informed Backpropagation. CoRR abs/2410.04001 (2024) - [i26]Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park:
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR abs/2410.06442 (2024) - 2023
- [j7]Hwangyong Choi
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65(6): 2403-2427 (2023) - [c16]Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park:
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS 2023 - [c15]Anthony Gruber, Kookjin Lee, Nathaniel Trask:
Reversible and irreversible bracket-based dynamics for deep graph neural networks. NeurIPS 2023 - [i25]Anthony Gruber, Kookjin Lee, Nathaniel Trask:
Reversible and irreversible bracket-based dynamics for deep graph neural networks. CoRR abs/2305.15616 (2023) - [i24]Woojin Cho, Kookjin Lee, Donsub Rim
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR abs/2310.09528 (2023) - [i23]Tianshu Wen, Kookjin Lee, Youngsoo Choi:
Reduced-order modeling for parameterized PDEs via implicit neural representations. CoRR abs/2311.16410 (2023) - [i22]Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park:
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR abs/2312.04234 (2023) - [i21]Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR abs/2312.10274 (2023) - [i20]Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park:
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR abs/2312.12467 (2023) - 2022
- [j6]Bedrich Sousedík
Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification 10(1): 1101-1129 (2022) - [c14]Kookjin Lee, Ben Kaczer, Anastasiia Kruv, Mario Gonzalez, Geert Eneman, Oguzhan O. Okudur, Alexander Grill, Jacopo Franco, Andrea Vici, Robin Degraeve, Ingrid De Wolf:
Significant Enhancement of HCD and TDDB in CMOS FETs by Mechanical Stress. IRPS 2022: 10 - [c13]Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim
Deep Sequence Models for Packet Stream Analysis and Early Decisions. LCN 2022: 56-63 - [c12]Kookjin Lee, Nathaniel Trask, Panos Stinis:
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. MSML 2022: 65-80 - [i19]Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce:
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. CoRR abs/2202.03242 (2022) - [i18]Bedrich Sousedík, Kookjin Lee:
Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty. CoRR abs/2202.12485 (2022) - [i17]Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park:
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR abs/2207.06066 (2022) - [i16]Kookjin Lee, Nathaniel Trask:
Parameter-varying neural ordinary differential equations with partition-of-unity networks. CoRR abs/2210.00368 (2022) - [i15]Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee:
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR abs/2210.04958 (2022) - [i14]Sanyam Lakhanpal, Zhemin Zhang, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon:
Sinophobia, misogyny, facism, and many more: A multi-ethnic approach to identifying anti-Asian racism in social media. CoRR abs/2210.11640 (2022) - [i13]Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR abs/2211.12034 (2022) - 2021
- [c11]Kookjin Lee, Kevin T. Carlberg:
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. AAAI 2021: 277-285 - [c10]Jungeun Kim
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI 2021: 8146-8154 - [c9]Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS 2021 - [c8]Jeehyun Hwang
Climate Modeling with Neural Diffusion Equations. ICDM 2021: 230-239 - [c7]Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park:
A Novel Method to Solve Neural Knapsack Problems. ICML 2021: 6414-6424 - [c6]Kookjin Lee, Nathaniel Trask, Panos Stinis:
Machine learning structure preserving brackets for forecasting irreversible processes. NeurIPS 2021: 5696-5707 - [c5]Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu:
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM 2021: 711-719 - [i12]Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of unity networks: deep hp-approximation. CoRR abs/2101.11256 (2021) - [i11]Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price:
On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity. CoRR abs/2103.00622 (2021) - [i10]Kookjin Lee, Nathaniel A. Trask, Panos Stinis:
Machine learning structure preserving brackets for forecasting irreversible processes. CoRR abs/2106.12619 (2021) - [i9]Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee:
Probabilistic partition of unity networks: clustering based deep approximation. CoRR abs/2107.03066 (2021) - [i8]Kookjin Lee, Nathaniel Trask, Panos Stinis:
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. CoRR abs/2109.05364 (2021) - [i7]Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. CoRR abs/2111.06011 (2021) - 2020
- [j5]Kookjin Lee, Kevin T. Carlberg:
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. J. Comput. Phys. 404 (2020) - [i6]Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee:
Alternating Energy Minimization Methods for Multi-term Matrix Equations. CoRR abs/2006.08531 (2020) - [i5]Kookjin Lee, Eric J. Parish:
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems. CoRR abs/2010.14685 (2020) - [i4]Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR abs/2012.02681 (2020)
2010 – 2019
- 2019
- [j4]Kookjin Lee, Howard C. Elman
A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity. SIAM/ASA J. Uncertain. Quantification 7(4): 1275-1300 (2019) - [c4]Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon:
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. IEEE BigData 2019: 1181-1186 - [i3]Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan:
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. CoRR abs/1906.05929 (2019) - 2018
- [j3]Kookjin Lee, Kevin Carlberg, Howard C. Elman:
Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems. SIAM/ASA J. Uncertain. Quantification 6(1): 374-396 (2018) - [j2]Kookjin Lee, Bedrich Sousedík
Inexact Methods for Symmetric Stochastic Eigenvalue Problems. SIAM/ASA J. Uncertain. Quantification 6(4): 1744-1776 (2018) - [c3]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty
MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR 2018: 1343-1348 - [c2]Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon:
On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS 2018: 371-374 - [i2]Kookjin Lee, Kevin Carlberg:
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. CoRR abs/1812.08373 (2018) - 2017
- [j1]Kookjin Lee, Howard C. Elman:
A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations. SIAM J. Sci. Comput. 39(5) (2017) - [i1]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR abs/1707.08273 (2017) - 2012
- [c1]Kookjin Lee, JaeSheung Shin, Yongwoo Cho
A group-based communication scheme based on the location information of MTC devices in cellular networks. ICC 2012: 4899-4903
Coauthor Index
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