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FUSO: Fast Multi-Path Loss Recovery for Data Center Networks., , , , , , , , , and 1 other author(s). IEEE/ACM Trans. Netw., 26 (3): 1376-1389 (2018)LogClass: Anomalous Log Identification and Classification With Partial Labels., , , , , , , , , and 1 other author(s). IEEE Trans. Netw. Serv. Manag., 18 (2): 1870-1884 (2021)Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective., , , , , , , , , and 2 other author(s). CoRR, (2024)OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models., , , , , , , , , and 5 other author(s). CoRR, (2023)Generic and robust root cause localization for multi-dimensional data in online service systems., , , , , , , , , and 2 other author(s). J. Syst. Softw., (September 2023)Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data., , , , , , , , , and . ISSRE, page 366-377. IEEE, (2022)Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems., , , , , , , , , and 2 other author(s). ISSRE, page 91-102. IEEE, (2021)Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications., , , , , , , , , and 3 other author(s). WWW, page 187-196. ACM, (2018)An empirical investigation of practical log anomaly detection for online service systems., , , , , , , , , and 2 other author(s). ESEC/SIGSOFT FSE, page 1404-1415. ACM, (2021)Rapid and robust impact assessment of software changes in large internet-based services., , , , , , and . CoNEXT, page 2:1-2:13. ACM, (2015)