2 citations · 3 across the 4 of their papers we have counts for
4 papers
Weakly-supervised anomaly detection for multimodal data distributions
Xu Tan, Junqi Chen, Sylwan Rahardja +2
Weakly-supervised anomaly detection can outperform existing unsupervised methods with the assistance of a very small number of labeled anomalies, which attracts increasing attentio…
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection
Junqi Chen, Xu Tan, Sylwan Rahardja +2
Deep learning-based sequence models are extensively employed in Time Series Anomaly Detection (TSAD) tasks due to their effective sequential modeling capabilities. However, the abi…
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction
Xu Tan, Jiawei Yang, Junqi Chen +2
AutoEncoders (AEs) are commonly used for machine learning tasks due to their intrinsic learning ability. This unique characteristic can be capitalized for Outlier Detection (OD). H…
Simple Neighborhood Representative Pre-processing Boosts Outlier Detectors
Jiawei Yang, Yu Chen, Sylwan Rahardja
Over the decades, traditional outlier detectors have ignored the group-level factor when calculating outlier scores for objects in data by evaluating only the object-level factor,…