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Fingerprint Dive into the research topics where Rong Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 11 Similar Profiles
Industry Engineering & Materials Science
Business Process Mathematics
Supply chains Engineering & Materials Science
Information Sharing Mathematics
Service oriented architecture (SOA) Engineering & Materials Science
Supply Chain Mathematics
Modeling Mathematics
Business Process Modeling Mathematics

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Research Output 2005 2019

CoFlux: Robustly correlating KPIs by fluctuations for service troubleshooting

Su, Y., Zhao, Y., Xia, W., Liu, R., Bu, J., Zhu, J., Cao, Y., Li, H., Niu, C., Zhang, Y., Wang, Z. & Pei, D., Jun 24 2019, Proceedings of the International Symposium on Quality of Service, IWQoS 2019. Association for Computing Machinery, Inc, 13. (Proceedings of the International Symposium on Quality of Service, IWQoS 2019).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Internet
Industry
Tuning
Fluctuations
Key performance indicators
Supply chain management
Industry
Visibility
Food supply
Costs

Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies

Zhao, N., Zhu, J., Liu, R., Liu, D., Zhang, M. & Pei, D., Apr 2019, INFOCOM 2019 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., p. 1882-1890 9 p. 8737429. (Proceedings - IEEE INFOCOM; vol. 2019-April).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Labels
Internet
Scanning
Feedback
1 Citation (Scopus)

Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection

Li, Z., Zhao, Y., Liu, R. & Pei, D., Jan 22 2019, 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018. Institute of Electrical and Electronics Engineers Inc., 8624168. (2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Clustering algorithms
Time series
Phase shift
Labeling
Tuning

Robust anomaly detection for multivariate time series through stochastic recurrent neural network

Su, Y., Liu, R., Zhao, Y., Sun, W., Niu, C. & Pei, D., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2828-2837 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Time series
Servers
Quality management
Spacecraft