| Execution anomaly detection in distributed systems through unstructured log analysis Q Fu, JG Lou, Y Wang, J Li 2009 ninth IEEE international conference on data mining, 149-158, 2009 | 761 | 2009 |
| Mining invariants from console logs for system problem detection JG Lou, Q Fu, S Yang, Y Xu, J Li 2010 USENIX Annual Technical Conference (USENIX ATC 10), 2010 | 441 | 2010 |
| Where do developers log? an empirical study on logging practices in industry Q Fu, J Zhu, W Hu, JG Lou, R Ding, Q Lin, D Zhang, T Xie Companion Proceedings of the 36th International Conference on Software …, 2014 | 306 | 2014 |
| Learning to log: Helping developers make informed logging decisions J Zhu, P He, Q Fu, H Zhang, MR Lyu, D Zhang 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 287 | 2015 |
| Correlating events with time series for incident diagnosis C Luo, JG Lou, Q Lin, Q Fu, R Ding, D Zhang, Z Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 141 | 2014 |
| Mining program workflow from interleaved traces JG Lou, Q Fu, S Yang, J Li, B Wu Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 133 | 2010 |
| Log2: A {Cost-Aware} logging mechanism for performance diagnosis R Ding, H Zhou, JG Lou, H Zhang, Q Lin, Q Fu, D Zhang, T Xie 2015 USENIX annual technical conference (USENIX ATC 15), 139-150, 2015 | 128 | 2015 |
| Yading: Fast clustering of large-scale time series data R Ding, Q Wang, Y Dang, Q Fu, H Zhang, D Zhang Proceedings of the VLDB Endowment 8 (5), 473-484, 2015 | 118 | 2015 |
| Mining dependency in distributed systems through unstructured logs analysis JG Lou, Q Fu, Y Wang, J Li ACM SIGOPS Operating Systems Review 44 (1), 91-96, 2010 | 110 | 2010 |
| Log message anomaly detection Q Fu, JG Lou, J Li US Patent 8,495,429, 2013 | 105 | 2013 |
| Software analytics for incident management of online services: An experience report JG Lou, Q Lin, R Ding, Q Fu, D Zhang, T Xie 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 82 | 2013 |
| Reasoning like program executors X Pi, Q Liu, B Chen, M Ziyadi, Z Lin, Y Gao, Q Fu, JG Lou, W Chen CoRR abs/2201.11473 (2022), 0 | 62* | |
| Contextual analysis of program logs for understanding system behaviors Q Fu, JG Lou, Q Lin, R Ding, D Zhang, T Xie 2013 10th Working Conference on Mining Software Repositories (MSR), 397-400, 2013 | 61 | 2013 |
| Identifying Recurrent and Unknown Performance Issues MH Lim, JG Lou, H Zhang, Q Fu, A Teoh, Q Lin, J Ding, D Zhang IEEE International Conference on Data Mining (ICDM'14), 2014 | 46 | 2014 |
| Automatically localizing root error through log analysis JG Lou, Q Fu, J Li US Patent App. 12/573,162, 2011 | 41 | 2011 |
| Out-of-distribution detection based on in-distribution data patterns memorization with modern hopfield energy J Zhang, Q Fu, X Chen, L Du, Z Li, G Wang, S Han, D Zhang The Eleventh International Conference on Learning Representations, 2022 | 38 | 2022 |
| Healing online service systems via mining historical issue repositories R Ding, Q Fu, JG Lou, Q Lin, D Zhang, J Shen, T Xie Proceedings of the 27th IEEE/ACM International Conference on Automated …, 2012 | 38 | 2012 |
| Robust mid-pass filtering graph convolutional networks J Huang, L Du, X Chen, Q Fu, S Han, D Zhang Proceedings of the ACM Web Conference 2023, 328-338, 2023 | 36 | 2023 |
| Homophily-oriented heterogeneous graph rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang Proceedings of the ACM Web Conference 2023, 511-522, 2023 | 35 | 2023 |
| Experience report on applying software analytics in incident management of online service JG Lou, Q Lin, R Ding, Q Fu, D Zhang, T Xie automated software engineering 24, 905-941, 2017 | 34 | 2017 |