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Author

Miao Zhang

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Conference Aug 2026

Conditional Multimodal Fusion for Time-Series Anomaly Detection

Multivariate time-series anomaly detection is central to modern cyber-physical and cloud monitoring systems. While most detectors rely solely on sensor or telemetry streams, operational anomalies are often accompanied by textual evidence such as logs. This paper presents a conditional multimodal framework for time-seri...

Bo-Xuan Wang, Meng-Yao Du, Miao Zhang et al. · 0 citations
Conference Jul 2026

ParaCascade: A Parallel Cascading Framework Supporting Early Routing

Real-world inference tasks for large language models exhibit diverse difficulty levels. Existing LLM serving systems integrate models of different sizes and attempt to route tasks of appropriate difficulty to the most suitable model, aiming to reduce resource waste while guaranteeing service quality. Such systems usual...

Hao Wei, Lu-Jia Yin, Chen Chen et al. · 0 citations

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