Nengwen Zhao

According to our database, Nengwen Zhao authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Triple confidence measurement in knowledge graph with multiple heterogeneous evidences.

Tianxing Wu, Kai Yao, Wei Li, Guilin Qi, Yijun Yu, Nengwen Zhao, Renyou Zhang, Peibo Duan

World Wide Web (WWW), November, 2024

A survey on intelligent management of alerts and incidents in IT services.

Qingyang Yu, Nengwen Zhao, Mingjie Li, Zeyan Li, Honglin Wang, Wenchi Zhang, Kaixin Sui, Dan Pei

J. Netw. Comput. Appl., 2024

2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps.

Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei

CoRR, 2022

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems.

Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Xiaohui Nie, Li Cao, Wenzhi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqiang Duan, Dan Pei

CoRR, 2022

Actionable and interpretable fault localization for recurring failures in online service systems.

Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Xiaohui Nie, Li Cao, Wenchi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqiang Duan, Dan Pei

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Effective Attribute Selection for Multi-dimensional Root Cause Analysis.

Yiran Cheng, Bo Cheng, Pengxiang Jin, Yongqian Sun, Xiaohui Nie, Nengwen Zhao, Shenglin Zhang, Dan Pei

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems.

Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

An empirical investigation of practical log anomaly detection for online service systems.

Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Identifying bad software changes via multimodal anomaly detection for online service systems.

Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Practical Root Cause Localization for Microservice Systems via Trace Analysis.

Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, Dan Pei

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems.

Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

Real-time incident prediction for online service systems.

Nengwen Zhao, Junjie Chen, Zhou Wang, Xiao Peng, Gang Wang, Yong Wu, Fang Zhou, Zhen Feng, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Automatically and Adaptively Identifying Severe Alerts for Online Service Systems.

Nengwen Zhao, Panshi Jin, Lixin Wang, Xiaoqin Yang, Rong Liu, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection.

Lingzhi Wang, Nengwen Zhao, Junjie Chen, Pinnong Li, Wenchi Zhang, Kaixin Sui

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Understanding and handling alert storm for online service systems.

Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhang, Zikai Chen, Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

Practical and White-Box Anomaly Detection through Unsupervised and Active Learning.

Yao Wang, Zhaowei Wang, Zejun Xie, Nengwen Zhao, Junjie Chen, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection.

Nengwen Zhao, Jing Zhu, Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., 2019

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

Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, Dan Pei

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.

Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Robust Dual Clustering with Adaptive Manifold Regularization.

Nengwen Zhao, Lefei Zhang, Bo Du, Qian Zhang, Jane You, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2017

2016

Sparse tensor discriminative locality alignment for gait recognition.

Nengwen Zhao, Lefei Zhang, Bo Du, Liangpei Zhang, Dacheng Tao, Jane You

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016