Publications (4)
Four-hour thunderstorm nowcasting using a deep diffusion model of satellite data
Kuai Dai, Xutao Li, Junying Fang +6
Convection (thunderstorm) develops rapidly within hours and is highly destructive, posing a significant challenge for nowcasting and resulting in substantial losses to infrastructu…
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang, Chuyao Luo, Demin Yu +4
Equipping a deep model the abaility of few-shot learning, i.e., learning quickly from only few examples, is a core challenge for artificial intelligence. Gradient-based meta-learni…
A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation
Demin Yu, Min Liu, Zhongjie Wang
With the flourish of services on the Internet, a prerequisite for service providers to precisely deliver services to their customers is to capture user requirements comprehensively…
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Demin Yu, Xutao Li, Yunming Ye +5
Precipitation nowcasting is an important spatio-temporal prediction task to predict the radar echoes sequences based on current observations, which can serve both meteorological sc…