About
Contact & Profiles
A5062643029
Research Areas
- Network Security and Intrusion Detection
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Software System Performance and Reliability
- Data Stream Mining Techniques
- Traffic Prediction and Management Techniques
Nanjing University
2021-2022
Anomaly detection on multivariate time series (MTS) is an important research topic in data mining, which has a wide range of applications information technology, financial management, manufacturing system, and so on. However, the state-of-the-art unsupervised deep learning models for MTS anomaly are vulnerable to noise have poor performance training containing anomalies. In this article, we propose novel Self-Training based Detection with Generative Adversarial Network (GAN) model called...
10.1145/3572780
article
EN
ACM Transactions on Knowledge Discovery from Data
2022-11-23
10.1016/j.ins.2021.03.046
article
EN
Information Sciences
2021-03-29
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