Author

Zhengyu Li

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Conference Open access Sep 2026

Multi-View Ensemble for Time Series Anomaly Detection via Coupling Flows

Time series anomaly detection faces a critical challenge that different anomaly types require different detection mechanisms, yet single methods are inherently limited by their design biases. We propose FlowFuse, a multi-view ensemble framework with coupling flow-based score fusion for time series anomaly detection. Fl...

Wanghui Qiu, Chen-Xi Liu, Shiyan Hu et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Dec 2025

FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting

In this work, we introduce FLAME, a family of extremely lightweight and capable Time Series Foundation Models, which support versatile forecasting tasks via generative probabilistic modeling, while ensuring both efficiency and robustness. FLAME utilizes the Legendre Memory for strong generalization capabilities. By ada...

Xingjian Wu, Han-Yin Cheng, Xiangfei Qiu et al. · arXiv.org · 4 citations