Следене
Yuxin Su
Yuxin Su
Assistant Professor, Sun Yat-sen University
Потвърден имейл адрес: mail.sysu.edu.cn
Заглавие
Позовавания
Позовавания
Година
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
582021
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
572020
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
372011
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
302015
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
292020
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
282021
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
252013
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
202021
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
152018
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
102022
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
92017
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
72021
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
52022
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
52021
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
52021
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
42021
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
42018
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
32019
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
22016
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
12022
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