3 papers
cs.LG2026
Tianmu-TC: Physics-constraints Generative Artificial Intelligence for Global Tropical Cyclone Forecasting
Shiqi Zhang, Pan Mu, Cheng Huang +6
Tropical cyclones (TCs) pose severe risks from strong winds and heavy rainfall. However, forecasting their track and intensity remains challenging due to chaotic atmosphere and the…
cs.AI2026
MVG-KAN: Multi-View Geo-Wind Guided KAN for PM Forecasting
Cheng Huang, Muyao Guan, Jairus Yougui Railey +6
Accurate short-term PM forecasting is important for public health protection, air-quality early warning, and urban environmental management. However, PM variation i…
cs.LG2024
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
Cheng Huang, Pan Mu, Cong Bai +1
Precipitation from tropical cyclones (TCs) can cause disasters such as flooding, mudslides, and landslides. Predicting such precipitation in advance is crucial, giving people time…