Younghyun Koo

According to our database, Younghyun Koo authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator.

Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar

CoRR, October, 2025

Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network.

Younghyun Koo, Maryam Rahnemoonfar

CoRR, October, 2025

2024

Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity.

Younghyun Koo, Maryam Rahnemoonfar

IEEE Trans. Geosci. Remote. Sens., 2024

Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets.

Younghyun Koo, Maryam Rahnemoonfar

CoRR, 2024

Physics-Informed Machine Learning On Polar Ice: A Survey.

Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar

CoRR, 2024

Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling.

Maryam Rahnemoonfar, Younghyun Koo

CoRR, 2024

Graph Neural Network as Computationally Efficient Emulator Of Ice-Sheet And Sea-Level System Model (ISSM).

Younghyun Koo, Maryam Rahnemoonfar

Proceedings of the IGARSS 2024, 2024

2023

Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean.

Younghyun Koo, Maryam Rahnemoonfar

CoRR, 2023