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Author

Yu-Feng Zhu

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Preprint Aug 2026

WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval

Satellite-to-radar (S2R) retrieval refers to estimating ground-based radar precipitation from geostationary satellite observations, enabling precipitation monitoring in regions with limited radar coverage. While recent generative flow matching models have greatly advanced retrieval quality, they face a critical trade-o...

Chun-Lei Shi, Yecheng Zhang, Yu-Feng Zhu et al. · 0 citations
#machine learning Preprint Sep 2026

PrecipJEPA: JEPA-Regularized Future-State Prediction with Motion-Source Rendering for Precipitation Nowcasting

Long-term precipitation nowcasting requires modeling radar-echo evolution while preserving localized high-intensity structures. Recent radar-specific studies motivate location-aware prediction and separating echo displacement from intensity change. However existing encoders learn historical representations mainly from...

Yu-Feng Zhu, Dan Niu, Qi-Liang Wu et al. · 0 citations

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