Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. - Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2023)

Graph Neural Network as Computationally Efficient Emulator Of Ice-Sheet And Sea-Level System Model (ISSM). - Younghyun Koo; Maryam Rahnemoonfar (IGARSS, 2024)

Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling. - Maryam Rahnemoonfar; Younghyun Koo (CoRR, 2024)

Physics-Informed Machine Learning On Polar Ice: A Survey. - Zesheng Liu; Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2024)

Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. - Younghyun Koo; Maryam Rahnemoonfar (CoRR, 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)