5 citations · 7 across the 13 of their papers we have counts for
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cs.LG2024
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
Zesheng Liu, Maryam Rahnemoonfar
Understanding spatio-temporal patterns in polar ice layers is essential for tracking changes in ice sheet balance and assessing ice dynamics. While convolutional neural networks ar…
cs.LG2024★ 2 cited
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
Zesheng Liu, Maryam Rahnemoonfar
Learning spatio-temporal patterns of polar ice layers is crucial for monitoring the change in ice sheet balance and evaluating ice dynamic processes. While a few researchers focus…
cs.LG2024★ 5 cited
Physics-Informed Machine Learning On Polar Ice: A Survey
Zesheng Liu, YoungHyun Koo, Maryam Rahnemoonfar
The mass loss of the polar ice sheets contributes considerably to ongoing sea-level rise and changing ocean circulation, leading to coastal flooding and risking the homes and livel…