Kookjin Lee

According to our database, Kookjin Lee authored at least 47 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data.

Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park

CoRR, 2024

FastLRNR and Sparse Physics Informed Backpropagation.

Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper

CoRR, 2024

Latent Space Energy-based Neural ODEs.

Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang

CoRR, 2024

Efficiently Parameterized Neural Metriplectic Systems.

Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

CoRR, 2024

Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media.

Fan Wu, Sanyam Lakhanpal, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon

Proceedings of the ACM on Web Conference 2024, 2024

Parameterized Physics-informed Neural Networks for Parameterized PDEs.

Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.

Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks.

Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations.

Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Climate modeling with neural advection-diffusion equation.

Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park

Knowl. Inf. Syst., June, 2023

Graph Convolutions Enrich the Self-Attention in Transformers!

Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

CoRR, 2023

Reduced-order modeling for parameterized PDEs via implicit neural representations.

Tianshu Wen, Kookjin Lee, Youngsoo Choi

CoRR, 2023

Reversible and irreversible bracket-based dynamics for deep graph neural networks.

Anthony Gruber, Kookjin Lee, Nathaniel Trask

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks.

Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty.

Bedrich Sousedík, Kookjin Lee

SIAM/ASA J. Uncertain. Quantification, March, 2022

Time Series Forecasting with Hypernetworks Generating Parameters in Advance.

Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

CoRR, 2022

Sinophobia, misogyny, facism, and many more: A multi-ethnic approach to identifying anti-Asian racism in social media.

Sanyam Lakhanpal, Zhemin Zhang, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon

CoRR, 2022

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting.

Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee

CoRR, 2022

Parameter-varying neural ordinary differential equations with partition-of-unity networks.

Kookjin Lee, Nathaniel Trask

CoRR, 2022

AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation.

Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park

CoRR, 2022

Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery.

Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce

CoRR, 2022

Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling.

Kookjin Lee, Nathaniel Trask, Panos Stinis

Proceedings of the Mathematical and Scientific Machine Learning, 2022

Deep Sequence Models for Packet Stream Analysis and Early Decisions.

Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Sangman Lee, Jinoh Kim

Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

Significant Enhancement of HCD and TDDB in CMOS FETs by Mechanical Stress.

Kookjin Lee, Ben Kaczer, Anastasiia Kruv, Mario Gonzalez, Geert Eneman, Oguzhan O. Okudur, Alexander Grill, Jacopo Franco, Andrea Vici, Robin Degraeve, Ingrid De Wolf

Proceedings of the IEEE International Reliability Physics Symposium, 2022

2021

Probabilistic partition of unity networks: clustering based deep approximation.

Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee

CoRR, 2021

On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity.

Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price

CoRR, 2021

Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets.

Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Machine learning structure preserving brackets for forecasting irreversible processes.

Kookjin Lee, Nathaniel Trask, Panos Stinis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Novel Method to Solve Neural Knapsack Problems.

Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park

Proceedings of the 38th International Conference on Machine Learning, 2021

Climate Modeling with Neural Diffusion Equations.

Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park

Proceedings of the IEEE International Conference on Data Mining, 2021

Partition of Unity Networks: Deep HP-Approximation.

Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws.

Kookjin Lee, Kevin T. Carlberg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation.

Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders.

Kookjin Lee, Kevin T. Carlberg

J. Comput. Phys., 2020

Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems.

Kookjin Lee, Eric J. Parish

CoRR, 2020

Alternating Energy Minimization Methods for Multi-term Matrix Equations.

Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee

CoRR, 2020

2019

A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity.

Kookjin Lee, Howard C. Elman, Bedrich Sousedík

SIAM/ASA J. Uncertain. Quantification, 2019

Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling.

Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan

CoRR, 2019

Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients.

Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Inexact Methods for Symmetric Stochastic Eigenvalue Problems.

Kookjin Lee, Bedrich Sousedík

SIAM/ASA J. Uncertain. Quantification, 2018

Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems.

Kookjin Lee, Kevin Carlberg, Howard C. Elman

SIAM/ASA J. Uncertain. Quantification, 2018

On Integrating Knowledge Graph Embedding into SPARQL Query Processing.

Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

MMGAN: Manifold-Matching Generative Adversarial Networks.

Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations.

Kookjin Lee, Howard C. Elman

SIAM J. Sci. Comput., 2017

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.

Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim

CoRR, 2017

2012

A group-based communication scheme based on the location information of MTC devices in cellular networks.

Kookjin Lee, JaeSheung Shin, Yongwoo Cho, Kab Seok Ko, Dan Keun Sung, Heonshik Shin

Proceedings of IEEE International Conference on Communications, 2012