Kookjin Lee
15 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Dynamic Duo
(11)
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Prolific Year · Productive
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Keyword Collector
(73)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(12)
Architectures
(10)
Optimization & Theory
(8)
Core Methods
(6)
Mathematics & Optimization
(4)
Application Areas
(4)
Optimization
(4)
Techniques
(4)
Learning Types
(3)
Artificial Intelligence
(2)
Knowledge & Reasoning
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
dynamical system
(4)
graph neural network
(4)
physics-informed neural network
(3)
time series forecasting
(2)
partial differential equation
(2)
energy conservation
(2)
test-time adaptation
(1)
self-attention mechanism
(1)
image classification
(1)
low-rank approximation
(1)
time series classification
(1)
fourier transform
(1)
image recognition
(1)
graph signal processing
(1)
few-shot learning
(1)
constrained optimization
(1)
latent representation
(1)
adversarial training
(1)
neural ordinary differential equation
(1)
feature learning
(1)
Papers
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
CVPR 2026
Efficiently Parameterized Neural Metriplectic Systems
ICLR 2025
Neural Functions for Learning Periodic Signal
ICLR 2025
PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
ICLR 2025
Graph Convolutions Enrich the Self-Attention in Transformers!
NeurIPS 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
ICLR 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
ICLR 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
ICML 2024
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
NeurIPS 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks
NeurIPS 2023
A Novel Method to Solve Neural Knapsack Problems
ICML 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
Machine learning structure preserving brackets for forecasting irreversible processes
NeurIPS 2021