| 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 | 285 | 2014 |
| 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 | 131 | 2014 |
| Extracting top-k insights from multi-dimensional data B Tang, S Han, ML Yiu, R Ding, D Zhang Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 127 | 2017 |
| 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 | 118 | 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 | 111 | 2015 |
| Quickinsights: Quick and automatic discovery of insights from multi-dimensional data R Ding, S Han, Y Xu, H Zhang, D Zhang Proceedings of the 2019 International Conference on Management of Data, 317-332, 2019 | 99 | 2019 |
| 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 | 78 | 2013 |
| 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 | 58 | 2013 |
| Identifying recurrent and unknown performance issues MH Lim, JG Lou, H Zhang, Q Fu, ABJ Teoh, Q Lin, R Ding, D Zhang 2014 IEEE International Conference on Data Mining, 320-329, 2014 | 40 | 2014 |
| 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 | 37 | 2012 |
| Mining historical issue repositories to heal large-scale online service systems R Ding, Q Fu, JG Lou, Q Lin, D Zhang, T Xie 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems …, 2014 | 32 | 2014 |
| 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 | 30 | 2017 |
| Metainsight: Automatic discovery of structured knowledge for exploratory data analysis P Ma, R Ding, S Han, D Zhang Proceedings of the 2021 international conference on management of data, 1262 …, 2021 | 29 | 2021 |
| Performance issue diagnosis for online service systems Q Fu, JG Lou, QW Lin, R Ding, D Zhang, Z Ye, T Xie 2012 IEEE 31st Symposium on Reliable Distributed Systems, 273-278, 2012 | 29 | 2012 |
| Fast grouping of time series Y Dang, Q Wang, Q Zhao, S Wang, R Ding, Q Fu, D Zhang US Patent 10,176,246, 2019 | 27 | 2019 |
| InsightPilot: An LLM-Empowered Automated Data Exploration System P Ma, R Ding, S Wang, S Han, D Zhang arXiv preprint arXiv:2304.00477, 2023 | 16 | 2023 |
| Xinsight: explainable data analysis through the lens of causality P Ma, R Ding, S Wang, S Han, D Zhang Proceedings of the ACM on Management of Data 1 (2), 1-27, 2023 | 13 | 2023 |
| Ml4s: Learning causal skeleton from vicinal graphs P Ma, R Ding, H Dai, Y Jiang, S Wang, S Han, D Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 11 | 2022 |
| Reliable and efficient anytime skeleton learning R Ding, Y Liu, J Tian, Z Fu, S Han, D Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10101 …, 2020 | 10 | 2020 |
| Ml4c: Seeing causality through latent vicinity H Dai, R Ding, Y Jiang, S Han, D Zhang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 8 | 2023 |
