3 papers
cs.LG2026
Enhancing few-shot time series forecasting with LLM-guided diffusion
Haonan Shi, Dehua Shuai, Liming Wang +2
Time series forecasting in specialized domains is often constrained by limited data availability, where conventional models typically require large-scale datasets to effectively ca…
cs.CV2025
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition
Yufei Li, Jirui Wu, Long Tian +4
Online surgical phase recognition has drawn great attention most recently due to its potential downstream applications closely related to human life and health. Despite deep models…
cs.LG2025
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation
Haonan Shi, Long Tian, Jie Tao +3
Hail nowcasting is a considerable contributor to meteorological disasters and there is a great need to mitigate its socioeconomic effects through precise forecast that has high res…