Author

Yilin Zhai

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#machine learning Open access Sep 2026

On the limits of univariate deep learning for significant wave height forecasting

By establishing a rigorous reference baseline for what univariate Hs models can and cannot achieve, this study provides a benchmark against which future multivariate and physics-informed approaches can be calibrated, and offers practical guidance for lightweight buoy-level forecasting in mid-latitude storm-dominated an...

Yilin Zhai, Hongyuan Shi, Zai-Jin You · Ocean Engineering · 0 citations

#artificial intelligence Sep 2025

AUWave: A data-driven model for reconstructing significant wave heights using sparse observations

Reconstructing high-resolution regional significant wave height (SWH) fields from sparse buoy observations is a critical challenge for ocean monitoring. We introduce AUWave, a hybrid deep learning framework that fuses a station-wise encoder with a multi-scale U-Net enhanced by self-attention to recover regional SWH fie...

Hongyuan Shi, Yilin Zhai, Ping Dong et al. · Ocean Engineering · 1 citation