3 papers
cs.AI2026
Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song
Diffusion models have become a widely used framework for probabilistic time series forecasting, modeling the distribution of future values given an observed history. In time series…
cs.MM2026
Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis
Chen Su, Yuanhe Tian, Yan Song
Multimodal sentiment analysis (MSA) aims to predict human sentiment from textual, acoustic, and visual information in videos. Recent studies improve multimodal fusion by modeling m…
stat.ML2025
Diffusion Models for Time Series Forecasting: A Survey
Chen Su, Zhengzhou Cai, Yuanhe Tian +3
Diffusion models, initially developed for image synthesis, demonstrate remarkable generative capabilities. Recently, their application has expanded to time series forecasting (TSF)…