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Zhao, Nengwen
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1

A survey on intelligent management of alerts and incidents ..:

Yu, Qingyang ; Zhao, Nengwen ; Li, Mingjie...
Journal of Network and Computer Applications.  224 (2024)  - p. 103842 , 2024
Link: https://doi.org/10.1016/..
 
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2

Actionable and interpretable fault localization for recurri..:

, In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Li, Zeyan ; Zhao, Nengwen ; Li, Mingjie... - p. 996-1008 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

Generic and Robust Performance Diagnosis via Causal Inferen..:

, In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
Lu, Xianglin ; Xie, Zhe ; Li, Zeyan... - p. 655-664 , 2022
Link: https://doi.org/10.1109/..
 
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4

Effective Attribute Selection for Multi-dimensional Root Ca..:

, In: 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE),
Cheng, Yiran ; Cheng, Bo ; Jin, Pengxiang... - p. 321-331 , 2022
Link: https://doi.org/10.1109/..
 
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5

An empirical investigation of practical log anomaly detecti..:

, In: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Zhao, Nengwen ; Wang, Honglin ; Li, Zeyan... - p. 1404-1415 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Identifying Root-Cause Metrics for Incident Diagnosis in On..:

, In: 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE),
Wu, Canhua ; Zhao, Nengwen ; Wang, Lixin... - p. 91-102 , 2021
Link: https://doi.org/10.1109/..
 
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7

Identifying bad software changes via multimodal anomaly det..:

, In: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Zhao, Nengwen ; Chen, Junjie ; Yu, Zhaoyang... - p. 527-539 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Root-Cause Metric Location for Microservice Systems via Log..:

, In: 2020 IEEE International Conference on Web Services (ICWS),
Wang, Lingzhi ; Zhao, Nengwen ; Chen, Junjie... - p. 142-150 , 2020
Link: https://doi.org/10.1109/..
 
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9

Practical and White-Box Anomaly Detection through Unsupervi..:

, In: 2020 29th International Conference on Computer Communications and Networks (ICCCN),
Wang, Yao ; Wang, Zhaowei ; Xie, Zejun... - p. 1-9 , 2020
Link: https://doi.org/10.1109/..
 
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10

Real-time incident prediction for online service systems:

, In: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Zhao, Nengwen ; Chen, Junjie ; Wang, Zhou... - p. 315-326 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Automatically and Adaptively Identifying Severe Alerts for ..:

, In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications,
Zhao, Nengwen ; Jin, Panshi ; Wang, Lixin... - p. 2420-2429 , 2020
Link: https://doi.org/10.1109/..
 
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12

Understanding and handling alert storm for online service s..:

, In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings,
Zhao, Nengwen ; Chen, Junjie ; Peng, Xiao... - p. 262-263 , 2020
Link: https://dl.acm.org/doi/1..
 
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13

Understanding and handling alert storm for online service s..:

, In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice,
Zhao, Nengwen ; Chen, Junjie ; Peng, Xiao... - p. 162-171 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

Label-Less: A Semi-Automatic Labelling Tool for KPI Anomali..:

, In: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications,
Zhao, Nengwen ; Zhu, Jing ; Liu, Rong... - p. 1882-1890 , 2019
Link: https://doi.org/10.1109/..
 
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15

Unsupervised Anomaly Detection via Variational Auto-Encoder..:

, In: Proceedings of the 2018 World Wide Web Conference,
Xu, Haowen ; Chen, Wenxiao ; Zhao, Nengwen... - p. 187-196 , 2018
Link: https://dl.acm.org/doi/1..
 
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