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Ke Li

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Book Open access Aug 2026

DAMR: Dual Adaptive Multi-Head Representation Learning for Multivariate Time Series Anomaly Detection

DAMR, a novel dual adaptive multi-head representation learning framework for the MTSAD task that achieves significant performance improvements and strong noise robustness and requires far less FLOPs and GPU memory cost than Transformer-based temporal modeling works.

Yi-Ning Wang, Fujun Han, Ke Li et al. · 0 citations

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