Xiaokun Zhu

When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection

Recent efforts have extended the foundation model paradigm from natural language to time series, raising expectations that pre-trained time-series foundation models generalize well across downstream tasks. In this work, we focus on time-series anomaly detection, in which time-series foundation model…