Author

Dan-Yang Li

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Preprint Aug 2026

Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting

Antarctic sea ice concentration (SIC) forecasting is an important yet challenging task due to the coexistence of complex spatial structure, long-range temporal dependencies, and strong seasonal variability. Conventional convolution-based models are effective at capturing local spatial patterns, but often have limited a...

Dan-Yang Li, John A. Taylor, Thang D. Bui et al. · 0 citations

#machine learning Preprint Aug 2026

Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting

A hybrid Convolutional-Transformer forecasting framework that combines convolutional encoding for spatial feature extraction with factorised self-attention for spatio-temporal dependency modelling and introduces two seasonal prior mechanisms.

Dan-Yang Li, John A. Taylor, Thang D. Bui et al. · 0 citations