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…
Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays
Junqi Chen, Xiao-Lei Zhang
Recently, speech recognition with ad-hoc microphone arrays has received much attention. It is known that channel selection is an important problem of ad-hoc microphone arrays, howe…