| 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, ... Proceedings of the 2018 world wide web conference, 187-196, 2018 | 1006 | 2018 |
| Practical root cause localization for microservice systems via trace analysis Z Li, J Chen, R Jiao, N Zhao, Z Wang, S Zhang, Y Wu, L Jiang, L Yan, ... 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021 | 92 | 2021 |
| Root-cause metric location for microservice systems via log anomaly detection L Wang, N Zhao, J Chen, P Li, W Zhang, K Sui 2020 IEEE international conference on web services (ICWS), 142-150, 2020 | 75 | 2020 |
| Identifying bad software changes via multimodal anomaly detection for online service systems N Zhao, J Chen, Z Yu, H Wang, J Li, B Qiu, H Xu, W Zhang, K Sui, D Pei Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 61 | 2021 |
| 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, ... Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 61 | 2021 |
| Understanding and handling alert storm for online service systems N Zhao, J Chen, X Peng, H Wang, X Wu, Y Zhang, Z Chen, X Zheng, ... Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 60 | 2020 |
| Real-time incident prediction for online service systems N Zhao, J Chen, Z Wang, X Peng, G Wang, Y Wu, F Zhou, Z Feng, X Nie, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 55 | 2020 |
| Actionable and interpretable fault localization for recurring failures in online service systems Z Li, N Zhao, M Li, X Lu, L Wang, D Chang, X Nie, L Cao, W Zhang, K Sui, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 54 | 2022 |
| Automatic and generic periodicity adaptation for kpi anomaly detection N Zhao, J Zhu, Y Wang, M Ma, W Zhang, D Liu, M Zhang, D Pei IEEE Transactions on Network and Service Management 16 (3), 1170-1183, 2019 | 51 | 2019 |
| Automatically and adaptively identifying severe alerts for online service systems N Zhao, P Jin, L Wang, X Yang, R Liu, W Zhang, K Sui, D Pei IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2420-2429, 2020 | 42 | 2020 |
| Label-less: A semi-automatic labelling tool for kpi anomalies N Zhao, J Zhu, R Liu, D Liu, M Zhang, D Pei IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1882-1890, 2019 | 38 | 2019 |
| Practical root cause localization for microservice systems via trace analysis. In 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS) Z Li, J Chen, R Jiao, N Zhao, Z Wang, S Zhang, Y Wu, L Jiang, L Yan, ... IEEE, Tokyo, Japan, 1-10, 2021 | 36 | 2021 |
| Robust dual clustering with adaptive manifold regularization N Zhao, L Zhang, B Du, Q Zhang, J You, D Tao IEEE Transactions on Knowledge and Data Engineering 29 (11), 2498-2509, 2017 | 34 | 2017 |
| 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, ... 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 29 | 2021 |
| Practical and white-box anomaly detection through unsupervised and active learning Y Wang, Z Wang, Z Xie, N Zhao, J Chen, W Zhang, K Sui, D Pei 2020 29th international conference on computer communications and networks …, 2020 | 25 | 2020 |
| Constructing large-scale real-world benchmark datasets for aiops Z Li, N Zhao, S Zhang, Y Sun, P Chen, X Wen, M Ma, D Pei arXiv preprint arXiv:2208.03938, 2022 | 21 | 2022 |
| Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems X Lu, Z Xie, Z Li, M Li, X Nie, N Zhao, Q Yu, S Zhang, K Sui, L Zhu, D Pei 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 11 | 2022 |
| Sparse tensor discriminative locality alignment for gait recognition N Zhao, L Zhang, B Du, L Zhang, D Tao, J You 2016 International Joint Conference on Neural Networks (IJCNN), 4489-4495, 2016 | 7 | 2016 |
| et almbox. 2018. 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 Proceedings of the 2018 World Wide Web Conference on World Wide Web …, 0 | 4 | |
| A survey on intelligent management of alerts and incidents in IT services Q Yu, N Zhao, M Li, Z Li, H Wang, W Zhang, K Sui, D Pei Journal of Network and Computer Applications, 103842, 2024 | 1 | 2024 |
Dan PeiAssociate Professor of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
