78 citations · 99 across the 6 of their papers we have counts for
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cs.LG2022★ 3 cited
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
Xiaoting Li, Yuhang Wu, Vineeth Rakesh +3
Graph neural networks have achieved significant success in representation learning. However, the performance gains come at a cost; acquiring comprehensive labeled data for training…
cs.LG2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
Lan Wang, Yusan Lin, Yuhang Wu +3
Today's cyber-world is vastly multivariate. Metrics collected at extreme varieties demand multivariate algorithms to properly detect anomalies. However, forecast-based algorithms,…
cs.LG2021★ 6 cited
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
Yuhang Wu, Mengting Gu, Lan Wang +3
Modeling inter-dependencies between time-series is the key to achieve high performance in anomaly detection for multivariate time-series data. The de-facto solution to model the de…