66 citations · 69 across the 5 of their papers we have counts for
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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.LG2016★ 1 cited
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen, Yizhou Sun
In this paper, we study the problem of author identification under double-blind review setting, which is to identify potential authors given information of an anonymized paper. Dif…
cs.LG2016★ 66 cited
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
Ting Chen, Lu-An Tang, Yizhou Sun +2
Anomaly detection plays an important role in modern data-driven security applications, such as detecting suspicious access to a socket from a process. In many cases, such events ca…