News

Paper accepted to ICML 2026: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy

Preprint posted: VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection

Preprint posted: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy

Preprint posted: AXIS: Explainable Time Series Anomaly Detection with Large Language Models

Paper accepted to NIPS 2025: TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents

Preprint posted: Tensor State Space-based Dynamic Multilayer Network Modeling

Preprint posted: CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series