6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Phys-Diff: A Physics-Inspired Latent Diffusion Model for Tropical Cyclone Forecasting
Lei Liu, Xiaoning Yu, Kang Chen +4
Tropical cyclone (TC) forecasting is critical for disaster warning and emergency response. Deep learning methods address computational challenges but often neglect physical relatio…
cs.LG2025
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
Xinyu Wang, Lei Liu, Kang Chen +3
Tropical cyclone (TC) intensity forecasting is crucial for early disaster warning and emergency decision-making. Numerous researchers have explored deep-learning methods to address…
physics.ao-ph2024★ 6 cited
Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model
Xinyu Wang, Kang Chen, Lei Liu +3
Accurate forecasting of Tropical cyclone (TC) intensity is crucial for formulating disaster risk reduction strategies. Current methods predominantly rely on limited spatiotemporal…