The rapid accumulation of multi-modal data (e.g., text, images, and geo-locations) presents significant opportunities for data mining applications in healthcare and e-commerce. However, effectively retrieving such data remains challenging due to the difficulty in capturing diverse and dynamic user retrieval intents. Ex...
Tang Qian, Yifan Zhu, Lu Chen 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, 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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