Kookjin Lee
14 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Cross-Pollinator (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
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Interdisciplinary Bridge
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Dynamic Duo
(11)
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Triple Crown
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Century Club
(14)
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Prolific Year
(5)
Conferences
ICLR (5)
NIPS (4)
AAAI (3)
ICML (2)
Top co-authors
Keywords
dynamical system
(3)
graph neural network
(2)
physics-informed neural network
(2)
partial differential equation
(2)
adversarial training
(1)
constrained optimization
(1)
image classification
(1)
fourier transform
(1)
self-attention mechanism
(1)
graph signal processing
(1)
low-rank approximation
(1)
model training
(1)
time series classification
(1)
neural ordinary differential equation
(1)
feature learning
(1)
latent dynamics
(1)
time-series forecasting
(1)
graph convolution
(1)
residual network
(1)
transformer architecture
(1)
Papers
PIORF: Physics-Informed Ollivier-Ricci Flow for LongβRange Interactions in Mesh Graph Neural Networks
ICLR 2025
Efficiently Parameterized Neural Metriplectic Systems
ICLR 2025
Neural Functions for Learning Periodic Signal
ICLR 2025
Parameterized Physics-informed Neural Networks for Parameterized PDEs
ICML 2024
Graph Convolutions Enrich the Self-Attention in Transformers!
NIPS 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
ICLR 2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
ICLR 2024
Reversible and irreversible bracket-based dynamics for deep graph neural networks
NIPS 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
NIPS 2023
Machine learning structure preserving brackets for forecasting irreversible processes
NIPS 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
AAAI 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
AAAI 2021
A Novel Method to Solve Neural Knapsack Problems
ICML 2021