4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data
Wenkai Li, Cheng Feng, Ting Chen +1
Time series anomaly detection (TSAD) is an important data mining task with numerous applications in the IoT era. In recent years, a large number of deep neural network-based method…
cs.LG2021★ 4 cited
StackVAE-G: An efficient and interpretable model for time series anomaly detection
Wenkai Li, Wenbo Hu, Ting Chen +2
Recent studies have shown that autoencoder-based models can achieve superior performance on anomaly detection tasks due to their excellent ability to fit complex data in an unsuper…