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Sibo Qi

ORCID: 0000-0003-4566-2190
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About
Contact & Profiles
A5066544744
Research Areas
  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Time Series Analysis and Forecasting
  • Imbalanced Data Classification Techniques
  • Smart Grid Security and Resilience

Xihua University
 2022-2023

 An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers
OPENALEX - Publications 
Sibo Qi Juan Chen Peng Chen Peian Wen Xianhua Niu and 1 more Lei Xu

10.1007/s11227-023-05534-3 article EN The Journal of Supercomputing 2023-07-15
 A Novel Convolutional Adversarial Framework for Multivariate Time Series Anomaly Detection and Explanation in Cloud Environment
OPENALEX - Publications 
Peian Wen Zhenyu Yang Lei Wu Sibo Qi Juan Chen and 1 more Peng Chen

Anomaly detection is critical to ensure cloud infrastructures’ quality of service. However, due the complexity inconspicuous (indistinct) anomalies, high dynamicity, and lack anomaly labels in environment, multivariate time series becomes more difficult. The existing approaches are rarely effective meeting these challenges. In this paper, we propose a novel convolutional adversarial model, convolutional-adversarial-training-based integrated with explanation framework (CAT-IADEF), for cloud....

10.3390/app122010390 article EN cc-by Applied Sciences 2022-10-15
 An Effective Channel and Spatial Attention based Parallel Convolutional Model for Micro-Service System Anomaly Multi-Classification
OPENALEX - Publications 
Peian Wen Xi Li Peng Chen Xianhua Niu Lei Xu and 2 more Juan Chen Sibo Qi

10.1109/mlcr61158.2023.00010 article EN 2023-12-09
 An Unsupervised Convolutional Adversarial Anomaly Detection Model for IoT Data Infrastructure
OPENALEX - Publications 
Peian Wen Zhenyu Yang Lei Wu Sibo Qi Juan Chen

10.1109/hpcc-dss-smartcity-dependsys57074.2022.00208 article EN 2022-12-01
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