| LogAnomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs. W Meng, Y Liu, Y Zhu, S Zhang, D Pei, Y Liu, Y Chen, R Zhang, S Tao, ... IJCAI 19 (7), 4739-4745, 2019 | 148 | 2019 |
| Prefix: Switch failure prediction in datacenter networks S Zhang, Y Liu, W Meng, Z Luo, J Bu, S Yang, P Liang, D Pei, J Xu, ... Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (1 …, 2018 | 67 | 2018 |
| Syslog processing for switch failure diagnosis and prediction in datacenter networks S Zhang, W Meng, J Bu, S Yang, Y Liu, D Pei, J Xu, Y Chen, H Dong, ... 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 1-10, 2017 | 50 | 2017 |
| Robust and rapid adaption for concept drift in software system anomaly detection M Ma, S Zhang, D Pei, X Huang, H Dai 2018 IEEE 29th International Symposium on Software Reliability Engineering …, 2018 | 37 | 2018 |
| Device-agnostic log anomaly classification with partial labels W Meng, Y Liu, S Zhang, D Pei, H Dong, L Song, X Luo 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 1-6, 2018 | 33 | 2018 |
| Rapid and Robust Impact Assessment of Software Changes in Large Internet-based Services S Zhang, Y Liu, D Pei, Y Chen, X Qu, S Tao, Z Zang International Conference on emerging Networking EXperiments and Technologies …, 2015 | 33 | 2015 |
| Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes Y Sun, Y Zhao, Y Su, D Liu, X Nie, Y Meng, S Cheng, D Pei, S Zhang, ... IEEE Access 6, 10909-10923, 2018 | 30 | 2018 |
| Localizing failure root causes in a microservice through causality inference Y Meng, S Zhang, Y Sun, R Zhang, Z Hu, Y Zhang, C Jia, Z Wang, D Pei 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS), 1-10, 2020 | 29 | 2020 |
| Diagnosing root causes of intermittent slow queries in cloud databases M Ma, Z Yin, S Zhang, S Wang, C Zheng, X Jiang, H Hu, C Luo, Y Li, ... Proceedings of the VLDB Endowment 13 (8), 1176-1189, 2020 | 27 | 2020 |
| FUNNEL: Assessing Software Changes in Web-based Services S Zhang, Y Liu, D Pei, Y Chen, X Qu, S Tao, Z Zang, X Jing, M Feng IEEE Transactions on Service Computing, 2016 | 27 | 2016 |
| Unsupervised detection of microservice trace anomalies through service-level deep bayesian networks P Liu, H Xu, Q Ouyang, R Jiao, Z Chen, S Zhang, J Yang, L Mo, J Zeng, ... 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 24 | 2020 |
| Rapid deployment of anomaly detection models for large number of emerging kpi streams J Bu, Y Liu, S Zhang, W Meng, Q Liu, X Zhu, D Pei 2018 IEEE 37th International Performance Computing and Communications …, 2018 | 20 | 2018 |
| A semantic-aware representation framework for online log analysis W Meng, Y Liu, Y Huang, S Zhang, F Zaiter, B Chen, D Pei 2020 29th International Conference on Computer Communications and Networks …, 2020 | 18 | 2020 |
| A bottleneck-free model for P4P Y Liu, S Zhang, H Liu SCIENCE CHINA Information Sciences 58 (10), 1-15, 2015 | 18* | 2015 |
| Logtransfer: Cross-system log anomaly detection for software systems with transfer learning R Chen, S Zhang, D Li, Y Zhang, F Guo, W Meng, D Pei, Y Zhang, X Chen, ... 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 16 | 2020 |
| Efficient and robust syslog parsing for network devices in datacenter networks S Zhang, Y Liu, W Meng, J Bu, S Yang, Y Sun, D Pei, J Xu, Y Zhang, ... IEEE access 8, 30245-30261, 2020 | 14 | 2020 |
| Fluxrank: A widely-deployable framework to automatically localizing root cause machines for software service failure mitigation P Liu, Y Chen, X Nie, J Zhu, S Zhang, K Sui, M Zhang, D Pei 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019 | 13 | 2019 |
| Logparse: Making log parsing adaptive through word classification W Meng, Y Liu, F Zaiter, S Zhang, Y Chen, Y Zhang, Y Zhu, E Wang, ... 2020 29th International Conference on Computer Communications and Networks …, 2020 | 12 | 2020 |
| Building An IPv6 Address Generation and Traceback System With NIDTGA in Address Driven Network G Ren, Y Liu, J Wu, S Zhang, L He, Y Jia SCIENCE CHINA Information Sciences 58 (12), 1-14, 2015 | 12 | 2015 |
| Detecting outlier machine instances through Gaussian mixture variational autoencoder with one dimensional CNN Y Su, Y Zhao, M Sun, S Zhang, X Wen, Y Zhang, X Liu, X Liu, J Tang, ... IEEE Transactions on Computers, 2021 | 8 | 2021 |
Dan PeiAssociate Professor of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
