| 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 | 39 | 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 | 36 | 2011 |
| 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 | 28 | 2021 |
| 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 | 26 | 2015 |
| 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 |
| 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 | 20 | 2020 |
| 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 | 16 | 2021 |
| 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 | 13 | 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 |
| 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 | 6 | 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 |
| 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 |
| Improving Adversarial Transferability via Neuron Attribution-Based Attacks J Zhang, W Wu, J Huang, Y Huang, W Wang, Y Su, MR Lyu arXiv preprint arXiv:2204.00008, 2022 | 2 | 2022 |
| 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 | 2 | 2021 |
| Distributed information-theoretic metric learning in apache spark Y Su, H Yang, I King, M Lyu 2016 International Joint Conference on Neural Networks (IJCNN), 3306-3313, 2016 | 2 | 2016 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| Steganalysis using fractal block codes and AP clustering in grayscale images GY Kang, YX Su, SZ Guo, RX Guo, ZM Lu Journal of Electronic Science and Technology 9 (4), 312-316, 2011 | 1 | 2011 |
| AEON: A Method for Automatic Evaluation of NLP Test Cases J Huang, J Zhang, W Wang, P He, Y Su, MR Lyu arXiv preprint arXiv:2205.06439, 2022 | | 2022 |
| Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems T Yang, J Shen, Y Su, X Ren, Y Yang, MR Lyu arXiv preprint arXiv:2204.09670, 2022 | | 2022 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
