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Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.

X. Wang, K. Yin, Q. Ouyang, X. Wen, S. Zhang, W. Zhang, L. Cao, J. Han, X. Jin, and D. Pei. ISSRE, page 366-377. IEEE, (2022)

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Pei Li

Xing Pei

Pei Xu

Gang Pei

Pei Xu

Other publications of authors with the same name

FUSO: Fast Multi-Path Loss Recovery for Data Center Networks.G. Chen, Y. Lu, Y. Meng, B. Li, K. Tan, D. Pei, P. Cheng, L. Luo, Y. Xiong, X. Wang and 1 other author(s). IEEE/ACM Trans. Netw., 26 (3): 1376-1389 (2018)Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.Z. Wang, C. Pei, M. Ma, X. Wang, Z. Li, D. Pei, S. Rajmohan, D. Zhang, Q. Lin, H. Zhang and 2 other author(s). CoRR, (2024)OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models.Y. Liu, C. Pei, L. Xu, B. Chen, M. Sun, Z. Zhang, Y. Sun, S. Zhang, K. Wang, H. Zhang and 5 other author(s). CoRR, (2023)Generic and robust root cause localization for multi-dimensional data in online service systems.Z. Li, J. Chen, Y. Chen, C. Luo, Y. Zhao, Y. Sun, K. Sui, X. Wang, D. Liu, X. Jin and 2 other author(s). J. Syst. Softw., (September 2023)LogClass: Anomalous Log Identification and Classification With Partial Labels.W. Meng, Y. Liu, S. Zhang, F. Zaiter, Y. Zhang, Y. Huang, Z. Yu, Y. Zhang, L. Song, M. Zhang and 1 other author(s). IEEE Trans. Netw. Serv. Manag., 18 (2): 1870-1884 (2021)Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems.C. Wu, N. Zhao, L. Wang, X. Yang, S. Li, M. Zhang, X. Jin, X. Wen, X. Nie, W. Zhang and 2 other author(s). ISSRE, page 91-102. IEEE, (2021)Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.X. Wang, K. Yin, Q. Ouyang, X. Wen, S. Zhang, W. Zhang, L. Cao, J. Han, X. Jin, and D. Pei. ISSRE, page 366-377. IEEE, (2022)Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.H. Xu, W. Chen, N. Zhao, Z. Li, J. Bu, Z. Li, Y. Liu, Y. Zhao, D. Pei, Y. Feng and 3 other author(s). WWW, page 187-196. ACM, (2018)Darkstar: Using exploratory data mining to raise the bar on network reliability and performance.C. Kalmanek, I. Ge, S. Lee, C. Lund, D. Pei, J. Seidel, J. van der Merwe, and J. Ates. DRCN, page 1-10. IEEE, (2009)An empirical investigation of practical log anomaly detection for online service systems.N. Zhao, H. Wang, Z. Li, X. Peng, G. Wang, Z. Pan, Y. Wu, Z. Feng, X. Wen, W. Zhang and 2 other author(s). ESEC/SIGSOFT FSE, page 1404-1415. ACM, (2021)

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Disambiguation of "Pei, Dan"

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Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.

Please choose a person to relate this publication to

Pei Li

Xing Pei

Pei Xu

Gang Pei

Pei Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pei, Dan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.

Please choose a person to relate this publication to

Pei Li

Xing Pei

Pei Xu

Gang Pei

Pei Xu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.