| Deep API learning X Gu, H Zhang, D Zhang, S Kim Proceedings of the 2016 24th ACM SIGSOFT international symposium on …, 2016 | 628 | 2016 |
| Robust log-based anomaly detection on unstable log data X Zhang, Y Xu, Q Lin, B Qiao, H Zhang, Y Dang, C Xie, X Yang, Q Cheng, ... Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 383 | 2019 |
| Towards complex text-to-sql in cross-domain database with intermediate representation J Guo, Z Zhan, Y Gao, Y Xiao, JG Lou, T Liu, D Zhang arXiv preprint arXiv:1905.08205, 2019 | 320 | 2019 |
| Codehow: Effective code search based on api understanding and extended boolean model (e) F Lv, H Zhang, J Lou, S Wang, D Zhang, J Zhao 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 272 | 2015 |
| 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 | 272 | 2014 |
| Harmonic maps and their applications in surface matching D Zhang, M Hebert Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and …, 1999 | 253 | 1999 |
| 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 | 249 | 2015 |
| Mining succinct and high-coverage API usage patterns from source code J Wang, Y Dang, H Zhang, K Chen, T Xie, D Zhang 2013 10th Working Conference on Mining Software Repositories (MSR), 319-328, 2013 | 235 | 2013 |
| How do software engineers understand code changes? An exploratory study in industry Y Tao, Y Dang, T Xie, D Zhang, S Kim Proceedings of the ACM SIGSOFT 20th International symposium on the …, 2012 | 224 | 2012 |
| Performance debugging in the large via mining millions of stack traces S Han, Y Dang, S Ge, D Zhang, T Xie 2012 34th International Conference on Software Engineering (ICSE), 145-155, 2012 | 202 | 2012 |
| Rebucket: A method for clustering duplicate crash reports based on call stack similarity Y Dang, R Wu, H Zhang, D Zhang, P Nobel 2012 34th International Conference on Software Engineering (ICSE), 1084-1093, 2012 | 192 | 2012 |
| Identifying impactful service system problems via log analysis S He, Q Lin, JG Lou, H Zhang, MR Lyu, D Zhang Proceedings of the 2018 26th ACM joint meeting on European software …, 2018 | 152 | 2018 |
| Datashot: Automatic generation of fact sheets from tabular data Y Wang, Z Sun, H Zhang, W Cui, K Xu, X Ma, D Zhang IEEE transactions on visualization and computer graphics 26 (1), 895-905, 2019 | 135 | 2019 |
| Improving service availability of cloud systems by predicting disk error Y Xu, K Sui, R Yao, H Zhang, Q Lin, Y Dang, P Li, K Jiang, W Zhang, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 481-494, 2018 | 131 | 2018 |
| Data exploration user interface Z Hou, X Liang, H Zhang, D Zhang US Patent 9,563,674, 2017 | 129 | 2017 |
| 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 | 122 | 2014 |
| Enabling access to aggregated software security information D Zhang, Y Dang, X Hou, S Huang, J Wang US Patent 8,234,706, 2012 | 121 | 2012 |
| You impress me: Dialogue generation via mutual persona perception Q Liu, Y Chen, B Chen, JG Lou, Z Chen, B Zhou, D Zhang arXiv preprint arXiv:2004.05388, 2020 | 114 | 2020 |
| 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 | 114 | 2015 |
| Software analytics in practice D Zhang, S Han, Y Dang, JG Lou, H Zhang, T Xie IEEE software 30 (5), 30-37, 2013 | 114 | 2013 |
Qingwei LinMicrosoft ResearchVerified email at microsoft.com
