الباحثون

Xuming An

المنشورات 2

نسخة أولية وصول مفتوح

Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision

Tian Lan, Yifei Gao, Yimeng Lu وآخرون · 2026

Whether a time-series pattern is anomalous often depends on the operating regime of the monitored process. A missing event can signal a fault in one regime and be routine in another, and the query alone may not reveal which regime applies. We study in-context learning (ICL) for time series anomaly detection (TSAD) thro …

نسخة أولية وصول مفتوح

Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection

Tian Lan, Yifei Gao, Yimeng Lu وآخرون · 2026

Time-series anomaly detection (TSAD) is difficult to generalize across datasets because heterogeneous temporal dynamics imply different notions of normality and favor different detection criteria. While time-series foundation models provide transferable representations, coupling them with a fixed anomaly-scoring mechan …

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