default search action
Kookjin Lee
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
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 - [i32]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) - [i31]Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask:
Efficiently Parameterized Neural Metriplectic Systems. CoRR abs/2405.16305 (2024) - [i30]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) - [i29]Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang:
Latent Space Energy-based Neural ODEs. CoRR abs/2409.03845 (2024) - [i28]Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper:
FastLRNR and Sparse Physics Informed Backpropagation. CoRR abs/2410.04001 (2024) - [i27]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) - [i26]Guangting Yu, Shiwei Lan, Kookjin Lee, Alex Mahalov:
The Reconstruction of the Space-Dependent Thermal Conductivity from Sparse Temperature Measurements. CoRR abs/2410.22822 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: