Kookjin Lee

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Topics

Ordinary Differential Equations

Knapsack Problem

Structure Preserving

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

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)
Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
Efficiently Parameterized Neural Metriplectic Systems. CoRR (2024)
Fan Wu, Sanyam Lakhanpal, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon
Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media. WWW (2024)
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)
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)
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 (2024)
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR (2023)
Tianshu Wen, Kookjin Lee, Youngsoo Choi
Reduced-order modeling for parameterized PDEs via implicit neural representations. CoRR (2023)
Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS (2023)
Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65 (6) (2023)
Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR (2023)
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. CoRR (2023)
Anthony Gruber, Kookjin Lee, Nathaniel Trask
Reversible and irreversible bracket-based dynamics for deep graph neural networks. NeurIPS (2023)
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 (2023)
Anthony Gruber, Kookjin Lee, Nathaniel Trask
Reversible and irreversible bracket-based dynamics for deep graph neural networks. CoRR (2023)
Kookjin Lee, Nathaniel Trask
Parameter-varying neural ordinary differential equations with partition-of-unity networks. CoRR (2022)
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 (2022)
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)
Sanyam Lakhanpal, Zhemin Zhang, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Hazel K. Kwon
Sinophobia, misogyny, facism, and many more: A multi-ethnic approach to identifying anti-Asian racism in social media. CoRR (2022)
Bedrich Sousedík, Kookjin Lee
Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Sangman Lee, Jinoh Kim
Deep Sequence Models for Packet Stream Analysis and Early Decisions. LCN (2022)
Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR (2022)
Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. CoRR (2022)
Bedrich Sousedík, Kookjin Lee
Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty. CoRR (2022)
Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR (2022)
Kookjin Lee, Nathaniel Trask, Panos Stinis
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. MSML (2022)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. CoRR (2021)
Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of unity networks: deep hp-approximation. CoRR (2021)
Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee
Probabilistic partition of unity networks: clustering based deep approximation. CoRR (2021)
Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
A Novel Method to Solve Neural Knapsack Problems. ICML (2021)
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)
Kookjin Lee, Kevin T. Carlberg
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. AAAI (2021)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. ICDM (2021)
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI (2021)
Kookjin Lee, Nathaniel A. Trask, Panos Stinis
Machine learning structure preserving brackets for forecasting irreversible processes. CoRR (2021)
Kookjin Lee, Nathaniel Trask, Panos Stinis
Machine learning structure preserving brackets for forecasting irreversible processes. NeurIPS (2021)
Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price
On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity. CoRR (2021)
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)
Kookjin Lee, Nathaniel Trask, Panos Stinis
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. CoRR (2021)
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR (2020)
Kookjin Lee, Kevin T. Carlberg
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. J. Comput. Phys. 404 (2020)
Kookjin Lee, Eric J. Parish
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems. CoRR (2020)
Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee
Alternating Energy Minimization Methods for Multi-term Matrix Equations. CoRR (2020)
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 (2019)
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)
Kookjin Lee, Howard C. Elman, Bedrich Sousedík
A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity. SIAM/ASA J. Uncertain. Quantification 7 (4) (2019)
Kookjin Lee, Kevin Carlberg
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. CoRR (2018)
Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon
On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS (2018)
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim
MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR (2018)
Kookjin Lee, Bedrich Sousedík
Inexact Methods for Symmetric Stochastic Eigenvalue Problems. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Kookjin Lee, Kevin Carlberg, Howard C. Elman
Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems. SIAM/ASA J. Uncertain. Quantification 6 (1) (2018)
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 (2017)
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)
Kookjin Lee, JaeSheung Shin, Yongwoo Cho, Kab Seok Ko, Dan Keun Sung, Heonshik Shin
A group-based communication scheme based on the location information of MTC devices in cellular networks. ICC (2012)