Shi Jin

Orcid: 0000-0001-9145-3862

Affiliations:
  • Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA


According to our database1, Shi Jin authored at least 15 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2020
Self-Learning and Efficient Health-Status Analysis for a Core Router System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Hierarchical Symbol-Based Health-Status Analysis Using Time-Series Data in a Core Router System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019
Changepoint-Based Anomaly Detection for Prognostic Diagnosis in a Core Router System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Anomaly Detection and Health-Status Analysis in a Core Router System.
IEEE Des. Test, 2019

2018
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems.
PhD thesis, 2018

Toward Predictive Fault Tolerance in a Core-Router System: Anomaly Detection Using Correlation-Based Time-Series Analysis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Data-Driven Resiliency Solutions for Boards and Systems.
Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

Self-Learning Health-Status Analysis for a Core Router System.
Proceedings of the IEEE International Test Conference, 2018

Failure prediction based on anomaly detection for complex core routers.
Proceedings of the International Conference on Computer-Aided Design, 2018

2017
Symbol-based health-status analysis in a core router system.
Proceedings of the IEEE International Test Conference, 2017

Changepoint-based anomaly detection in a core router system.
Proceedings of the IEEE International Test Conference, 2017

Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper).
Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

2016
Efficient Board-Level Functional Fault Diagnosis With Missing Syndromes.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

Accurate anomaly detection using correlation-based time-series analysis in a core router system.
Proceedings of the 2016 IEEE International Test Conference, 2016

2013
Handling Missing Syndromes in Board-Level Functional-Fault Diagnosis.
Proceedings of the 22nd Asian Test Symposium, 2013


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