9 papers
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…
SURGE: An Event-Centric Social Media Sentiment Time Series Benchmark with Interaction Structure
Chen Su, Pengsen Cheng, Yuanhe Tian +1
Public events on social media generate large volumes of discussion whose collective dynamics carry direct value for opinion forecasting and crisis response. Capturing how these dyn…
Chain-of-thought Reviewing and Correction for Time Series Question Answering
Chen Su, Yuanhe Tian, Yan Song
With the advancement of large language models (LLMs), diverse time series analysis tasks are reformulated as time series question answering (TSQA) through a unified natural languag…
LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
Jingwei Ye, Zhi Wang, Chenbin Su +4
Effective log anomaly detection is critical to sustaining reliability in large-scale IT infrastructures. Transformer-based models require substantial resources and labeled data, ex…
Text Reinforcement for Multimodal Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song +1
Recent studies in time series forecasting (TSF) use multimodal inputs, such as text and historical time series data, to predict future values. These studies mainly focus on develop…
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)…