3 papers
cs.MM2026
WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval
Chunlei Shi, Yecheng Zhang, Yufeng Zhu +4
Satellite-to-radar (S2R) retrieval refers to estimating ground-based radar precipitation from geostationary satellite observations, enabling precipitation monitoring in regions wit…
cs.MM2026
LangRetrieval: Language-Guided Self-Evolving Satellite-to-Radar Retrieval via CSI-Driven Reward
Chunlei Shi, Junming Hou, Yi-Lin Wei +5
Satellite-to-radar (S2R) retrieval estimates ground radar precipitation from geostationary satellite observations, providing a critical solution for precipitation monitoring in rad…
cs.LG2025
A Novel Frequency-Spatial Domain Aware Network for Fast Thermal Prediction in 2.5D ICs
Dekang Zhang, Dan Niu, Zhou Jin +3
In the post-Moore era, 2.5D chiplet-based ICs present significant challenges in thermal management due to increased power density and thermal hotspots. Neural network-based thermal…