Kookjin Lee - RankMe

79 papers A* 16A 3B 2Journal 53Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Early Attack Identification in the Wild. IEEE Trans. Netw. Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Jinpyo Kim, Sangman Lee, Jinoh Kim
2026	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. Trans. Mach. Learn. Res. Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation. CoRR Junghwan Park, Woojin Cho, Junhyuk Heo, Darongsae Kwon, Kookjin Lee
2025	J	`jnl`	Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation. CoRR Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee, K. Hazel Kwon
2025	A*	`conf`	Efficiently Parameterized Neural Metriplectic Systems. ICLR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2025	J	`jnl`	Latent Space Energy-based Neural ODEs. Trans. Mach. Learn. Res. Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2025	J	`jnl`	Learning Low Rank Neural Representations of Hyperbolic Wave Dynamics from Data. CoRR Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper
2025	J	`jnl`	Meta-learning Structure-Preserving Dynamics. CoRR Cheng Jing, Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Anthony Gruber, Kookjin Lee
2025	A*	`conf`	Neural Functions for Learning Periodic Signal. ICLR Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
2025	J	`jnl`	Neural Functions for Learning Periodic Signal. CoRR Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
2025	J	`jnl`	PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling. CoRR Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee
2025	A*	`conf`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. ICLR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. CoRR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. CoRR Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations. CoRR Sanghyun Hong, Fan Wu, Anthony Gruber, Kookjin Lee
2025	J	`jnl`	Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations. CoRR Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Noseong Park, Kookjin Lee
2024	J	`jnl`	Efficiently Parameterized Neural Metriplectic Systems. CoRR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2024	J	`jnl`	FastLRNR and Sparse Physics Informed Backpropagation. CoRR Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper
2024	A*	`conf`	Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2024	A	`conf`	Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. CIKM Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
2024	J	`jnl`	Latent Space Energy-based Neural ODEs. CoRR Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2024	A*	`conf`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR 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
2024	J	`jnl`	MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park
2024	A*	`conf`	Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media. WWW Fan Wu, Sanyam Lakhanpal, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon
2024	A*	`conf`	Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2024	A*	`conf`	PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2024	J	`jnl`	PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2024	A*	`conf`	Parameterized Physics-informed Neural Networks for Parameterized PDEs. ICML Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2024	J	`jnl`	Parameterized Physics-informed Neural Networks for Parameterized PDEs. CoRR Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2024	J	`jnl`	Physics-informed reduced order model with conditional neural fields. CoRR Minji Kim, Tianshu Wen, Kookjin Lee, Youngsoo Choi
2024	J	`jnl`	The Reconstruction of the Space-Dependent Thermal Conductivity from Sparse Temperature Measurements. CoRR Guangting Yu, Shiwei Lan, Kookjin Lee, Alex Mahalov
2023	J	`jnl`	Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
2023	J	`jnl`	Graph Convolutions Enrich the Self-Attention in Transformers! CoRR Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2023	A*	`conf`	Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
2023	J	`jnl`	Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
2023	J	`jnl`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR 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
2023	J	`jnl`	Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2023	J	`jnl`	Reduced-order modeling for parameterized PDEs via implicit neural representations. CoRR Tianshu Wen, Kookjin Lee, Youngsoo Choi
2023	A*	`conf`	Reversible and irreversible bracket-based dynamics for deep graph neural networks. NeurIPS Anthony Gruber, Kookjin Lee, Nathaniel Trask
2023	J	`jnl`	Reversible and irreversible bracket-based dynamics for deep graph neural networks. CoRR Anthony Gruber, Kookjin Lee, Nathaniel Trask
2022	J	`jnl`	AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park
2022	B	`conf`	Deep Sequence Models for Packet Stream Analysis and Early Decisions. LCN Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Sangman Lee, Jinoh Kim
2022	J	`jnl`	Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
2022	J	`jnl`	Parameter-varying neural ordinary differential equations with partition-of-unity networks. CoRR Kookjin Lee, Nathaniel Trask
2022	—	`conf`	Significant Enhancement of HCD and TDDB in CMOS FETs by Mechanical Stress. IRPS Kookjin Lee, Ben Kaczer, Anastasiia Kruv, Mario Gonzalez, Geert Eneman, Oguzhan O. Okudur, Alexander Grill, Jacopo Franco, Andrea Vici, Robin Degraeve, Ingrid De Wolf
2022	J	`jnl`	Sinophobia, misogyny, facism, and many more: A multi-ethnic approach to identifying anti-Asian racism in social media. CoRR Sanyam Lakhanpal, Zhemin Zhang, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon
2022	J	`jnl`	Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification Bedrich Sousedík, Kookjin Lee
2022	J	`jnl`	Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty. CoRR Bedrich Sousedík, Kookjin Lee
2022	—	`conf`	Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. MSML Kookjin Lee, Nathaniel Trask, Panos Stinis
2022	J	`jnl`	Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2022	J	`jnl`	Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. CoRR Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce
2021	A*	`conf`	A Novel Method to Solve Neural Knapsack Problems. ICML Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
2021	A*	`conf`	Climate Modeling with Neural Diffusion Equations. ICDM Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	J	`jnl`	Climate Modeling with Neural Diffusion Equations. CoRR Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	A*	`conf`	DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park
2021	A*	`conf`	Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. AAAI Kookjin Lee, Kevin T. Carlberg
2021	A	`conf`	Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu
2021	A*	`conf`	Machine learning structure preserving brackets for forecasting irreversible processes. NeurIPS Kookjin Lee, Nathaniel Trask, Panos Stinis
2021	J	`jnl`	Machine learning structure preserving brackets for forecasting irreversible processes. CoRR Kookjin Lee, Nathaniel A. Trask, Panos Stinis
2021	J	`jnl`	On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity. CoRR Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price
2021	—	`conf`	Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Partition of unity networks: deep hp-approximation. CoRR Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Probabilistic partition of unity networks: clustering based deep approximation. CoRR Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee
2021	J	`jnl`	Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. CoRR Kookjin Lee, Nathaniel Trask, Panos Stinis
2020	J	`jnl`	Alternating Energy Minimization Methods for Multi-term Matrix Equations. CoRR Kookjin Lee, Howard C. Elman, Catherine E. Powell, Dongeun Lee
2020	J	`jnl`	DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park
2020	J	`jnl`	Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. J. Comput. Phys. Kookjin Lee, Kevin T. Carlberg
2020	J	`jnl`	Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems. CoRR Kookjin Lee, Eric J. Parish
2019	J	`jnl`	A Low-Rank Solver for the Navier-Stokes Equations with Uncertain Viscosity. SIAM/ASA J. Uncertain. Quantification Kookjin Lee, Howard C. Elman, Bedrich Sousedík
2019	J	`jnl`	Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. CoRR Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan
2019	—	`conf`	Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. IEEE BigData Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon
2018	J	`jnl`	Inexact Methods for Symmetric Stochastic Eigenvalue Problems. SIAM/ASA J. Uncertain. Quantification Kookjin Lee, Bedrich Sousedík
2018	B	`conf`	MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim
2018	J	`jnl`	Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. CoRR Kookjin Lee, Kevin Carlberg
2018	A	`conf`	On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon
2018	J	`jnl`	Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems. SIAM/ASA J. Uncertain. Quantification Kookjin Lee, Kevin Carlberg, Howard C. Elman
2017	J	`jnl`	A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations. SIAM J. Sci. Comput. Kookjin Lee, Howard C. Elman
2017	J	`jnl`	MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim
2012	—	`conf`	A group-based communication scheme based on the location information of MTC devices in cellular networks. ICC Kookjin Lee, JaeSheung Shin, Yongwoo Cho, Kab Seok Ko, Dan Keun Sung, Heonshik Shin