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Author

Xianlang Hu

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Open access Sep 2026

Efficient Log Anomaly Detection via Dual-Domain State Space Modeling

Log anomaly detection requires models that capture long-range event dependencies without the quadratic sequence-length cost of self-attention. We present LogMamba, a reconstruction-based model that combines a bidirectional selective state-space branch with a Multi-Scale Frequency Learner (MSFL). The sequence branch mod...

Xian-Lang Hu, Guang-Sheng Feng, Rui-Ni Wang et al. · 0 citations
Conference Aug 2026

When Logs Are No Longer Just Sequences: A Multi-view Bidirectional Graph Convolutional Network for Anomaly Detection

Industrial information service systems are becoming increasingly complex, and timely anomaly detection and diagnosis are crucial for ensuring the quality of software services. System logs constitute a direct and important source of information for anomaly detection and diagnosis. However, existing methods struggle to s...

Xianlang Hu, Guangsheng Feng, Peng-Xin Li et al. · 0 citations

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