| 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 | 1000 | 2018 |
| Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding Z Li, Y Zhao, J Han, Y Su, R Jiao, X Wen, D Pei Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 216 | 2021 |
| Dynamic TCP initial windows and congestion control schemes through reinforcement learning X Nie, Y Zhao, Z Li, G Chen, K Sui, J Zhang, Z Ye, D Pei IEEE Journal on Selected Areas in Communications 37 (6), 1231-1247, 2019 | 130 | 2019 |
| Robust and rapid clustering of kpis for large-scale anomaly detection Z Li, Y Zhao, R Liu, D Pei 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 1-10, 2018 | 74 | 2018 |
| On the necessity and effectiveness of learning the prior of variational auto-encoder H Xu, W Chen, J Lai, Z Li, Y Zhao, D Pei arXiv preprint arXiv:1905.13452, 2019 | 18 | 2019 |
| Situation-aware multivariate time series anomaly detection through active learning and contrast VAE-based models in large distributed systems Z Li, Y Zhao, Y Geng, Z Zhao, H Wang, W Chen, H Jiang, A Vaidya, L Su, ... IEEE Journal on Selected Areas in Communications 40 (9), 2746-2765, 2022 | 17 | 2022 |
| Unsupervised clustering through gaussian mixture variational autoencoder with non-reparameterized variational inference and std annealing Z Li, Y Zhao, H Xu, W Chen, S Xu, Y Li, D Pei 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 12 | 2020 |
| 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, ... Proceedings of the ACM on Web Conference 2024, 3096-3105, 2024 | 10 | 2024 |
| Shallow vaes with realnvp prior can perform as well as deep hierarchical vaes H Xu, W Chen, J Lai, Z Li, Y Zhao, D Pei International Conference on Neural Information Processing, 650-659, 2020 | 4 | 2020 |
| Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection H Si, C Pei, Z Li, Y Zhao, J Li, H Zhang, Z Diao, J Li, G Xie, D Pei Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 3 | 2023 |
