103 citations · 152 across the 9 of their papers we have counts for
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cs.LG2022
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Cheng Feng, Pingge Hu
In the research area of anomaly detection, novel and promising methods are frequently developed. However, most existing studies exclusively focus on the detection task only and ign…
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.LG2022
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems
Cheng Feng
This study focuses on two important problems related to applying offline model-based optimization to real-world industrial control problems. The first problem is how to create a re…