OneDB is presented, a distributed framework for multi-metric similarity search that integrates data management with learning-based techniques and captures user intent effectively, achieving 12.63%--30.75% higher accuracy and 2.75× faster retrieval speeds compared to state-of-the-art vector search systems.
Tang Qian, Yi-Fan Zhu, Lu Chen et al.· Proceedings of the 32nd ACM...· 0 citations
ReCATS combines multi-regime modeling with a dual-phase generative alignment mechanism, enabling effective adaptation to distribution shifts while preserving knowledge acquired from past tasks, and introduces a dynamic dual-scale thresholding strategy to mitigate decision boundary drift under evolving data distribution...
Qiuyang Li, Qian Ma, Zhong-Ming Yao et al.· Proceedings of the 32nd ACM...· 0 citations
Multivariate time series anomaly detection is critical in safety-critical domains such as industrial monitoring and financial systems. However, real-world time series are inherently non-stationary, with evolving data distributions driven by changing operational regimes and system dynamics. As a result, most existing me...
Qiuyang Li, Q. Ma, Zhongming Yao et al.· Proceedings of the 32nd ACM...· 0 citations
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