| A survey on automated log analysis for reliability engineering S He, P He, Z Chen, T Yang, Y Su, MR Lyu ACM computing surveys (CSUR) 54 (6), 1-37, 2021 | 74 | 2021 |
| Boosting the transferability of adversarial samples via attention W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
| Reversible data hiding for BTC-compressed images based on bitplane flipping and histogram shifting of mean tables CH Li, ZM Lu, YX Su Information technology journal 10 (7), 1421-1426, 2011 | 37 | 2011 |
| Improving the transferability of adversarial samples with adversarial transformations W Wu, Y Su, MR Lyu, I King Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| Towards global explanations of convolutional neural networks with concept attribution W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 32 | 2020 |
| Boosting response aware model-based collaborative filtering H Yang, G Ling, Y Su, MR Lyu, I King IEEE Transactions on Knowledge and Data Engineering 27 (8), 2064-2077, 2015 | 31 | 2015 |
| Experience report: Deep learning-based system log analysis for anomaly detection Z Chen, J Liu, W Gu, Y Su, MR Lyu arXiv preprint arXiv:2107.05908, 2021 | 26 | 2021 |
| Deterministic scale-free small-world networks of arbitrary order ZM Lu, YX Su, SZ Guo Physica A: Statistical Mechanics and its Applications 392 (17), 3555-3562, 2013 | 25 | 2013 |
| Improving adversarial transferability via neuron attribution-based attacks J Zhang, W Wu, J Huang, Y Huang, W Wang, Y Su, MR Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Deepobfuscation: Securing the structure of convolutional neural networks via knowledge distillation H Xu, Y Su, Z Zhao, Y Zhou, MR Lyu, I King arXiv preprint arXiv:1806.10313, 2018 | 16 | 2018 |
| Learning to Rank Using Localized Geometric Mean Metrics Y Su, I King, MR Lyu Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 9 | 2017 |
| AID: efficient prediction of aggregated intensity of dependency in large-scale cloud systems T Yang, J Shen, Y Su, X Ling, Y Yang, MR Lyu 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 8 | 2021 |
| Defuse: A dependency-guided function scheduler to mitigate cold starts on faas platforms J Shen, T Yang, Y Su, Y Zhou, MR Lyu 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 8 | 2021 |
| Adaptive performance anomaly detection for online service systems via pattern sketching Z Chen, J Liu, Y Su, H Zhang, X Ling, Y Yang, MR Lyu Proceedings of the 44th International Conference on Software Engineering, 61-72, 2022 | 7 | 2022 |
| Graph-based incident aggregation for large-scale online service systems Z Chen, J Liu, Y Su, H Zhang, X Wen, X Ling, Y Yang, MR Lyu 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 5 | 2021 |
| Experience report: deep learning-based system log analysis for anomaly detection. CoRR abs/2107.05908 (2021) Z Chen, J Liu, W Gu, Y Su, MR Lyu arXiv preprint arXiv:2107.05908, 2021 | 5 | 2021 |
| Communication-efficient distributed deep metric learning with hybrid synchronization Y Su, M Lyu, I King Proceedings of the 27th ACM International Conference on Information and …, 2018 | 4 | 2018 |
| SemParser: A Semantic Parser for Log Analysis Y Huo, Y Su, B Li, MR Lyu arXiv preprint arXiv:2112.12636, 2021 | 3 | 2021 |
| Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators Y Su, S Zhao, X Chen, I King, M Lyu Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 3 | 2019 |
| ARCLIN: automated API mention resolution for unformatted texts Y Huo, Y Su, H Zhang, MR Lyu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 2 | 2022 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
