Dongeun Lee

6 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

AAAI (2) ICLR (2) ICML (2)

Top co-authors

Kookjin Lee (5) Noseong Park (5) Sanghyun Hong (3) Jinsung Jeon (2) Hyundong Jin (2) Jonghyun Choi (2) Woojin Cho (2) Jaesik Choi (1) Duc Nguyen (1) Giridhar Kaushik (1)

Research topics

Machine Learning (6) Optimization & Theory (5) Deep Learning (4) Architectures (4) Application Areas (3) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization (1) Techniques (1)

Keywords

physics-informed neural network (2) neural ordinary differential equation (2) image classification (1) feature learning (1) adversarial training (1) model interpretability (1) time series classification (1) fourier transform (1) lyapunov exponent (1) spectral analysis (1) image recognition (1) latent representation (1) partial differential equation (1) model training (1) frequency domain (1) parameter space (1) residual network (1) neural operator (1) knapsack problem (1) gradient ascent (1)

Papers

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning ICLR 2025 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 A Novel Method to Solve Neural Knapsack Problems ICML 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021