About Me
I am a Post-doc in Prof. Michael R. Lyu's group.
I obtained my B.Sc degree from School of Information Science and Technology, Sun Yat-sen University in 2011,
M.Eng degree from School of Aeronautics and Astronautics, Zhejiang
University in 2013 and Ph.D degree from Department of Computer Science and Engineering, The Chinese University of Hong Kong in
2019.
I'm interested in AIOps, cloud computing, distributed computing and the robustness issue in deep learning algorithms.
Publications
- Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu. A Survey on Automated Log
Analysis for Reliability Engineering. ACM Computing Surveys, 2021.
- Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, and Michael R. Lyu. DGFS: A Dependency-Guided Function
Schedulerto Mitigate Cold Starts on FaaS Platforms. IEEE International Conference on Distributed Computing Systems (ICDCS), 2021.
- Weibin Wu, Yuxin Su, Michael R. Lyu, and Irwin King. Improving the Transferability of Adversarial
Samples with Adversarial Transformations. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2021.
- Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael Lyu and Yu-Wing Tai. Boosting the
Transferability of Adversarial Samples via Attention. In Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2020.
- Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael Lyu and Yu-Wing Tai. Towards Global
Explanations of Convolutional Neural Networks with Concept Attribution. In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), 2020.
- Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King and Michael Lyu. Parallel Wasserstein Generative Adversarial Nets
with Multiple Discriminators. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
- Yuxin Su, Michael R. Lyu and Irwin King. Communication-efficient Distributed Deep Metric Learning with Hybrid
Synchronization. In Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), 2018
- Yuxin Su, Irwin King and Michael R. Lyu, Learning to Rank Using Localized Geometric Mean Metrics. In Proceedings of SIGIR ’17,
Tokyo, Japan, August 07-11, 2017 (full paper) pdf
- Yuxin Su, Haiqin Yang, Irwin King and Michael R. Lyu, Distributed Information-Theoretic Metric Learning in Apache Spark. 2016 International Joint Conference on
Neural Networks (IJCNN), Vancouver, BC, 2016
- Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu and
Irwin King. Boosting Response Aware Model-Based Collaborative Filtering.
IEEE Transactions on Knowledge and Data Engineering, vol.PP, no.99, 2015
- Yuxin Su, Haiqin Yang, Michael Lyu, Irwin King. Distributed
Non-negative Matrix Factorization with Loose Synchronization. In
Proceeding of the WSDM workshop on Scalable Data Analytics. Shanghai,
China. Feb 6, 2015
- Junjie Hu, Haiqin Yang, Yuxin Su, Michael Lyu, Irwin King.
Accelerated Information-Theoretic Metric Learning. In Proceeding of the
WSDM workshop on Scalable Data Analytics. Shanghai, China. Feb 6,
2015
Pre-CUHK
- Zheming Lu, Yuxin Su, Shize Guo. Deterministic Scale-free
Small-world Networks of Arbitrary Order. Physica A, 392, 2013(SCI Index)
- Xinfeng Li, Shize Guo, Yuxin Su and Zheming Lu. Synchronizability optimization for the edge iteration based deterministic small-world network with the modified simulated annealing algorithm. Information Technology Journal, 12(2), 2013
- Dechen Wang, Guangyu Kang, Xinfeng Li, Zheming Lu and Yuxin Su. Synchronizability optimization for tree-structured deterministic small-world network with modified simulated annealing algorithm. IEEE Proceeding of IMCCC, Harbin. 2012
- Yuxin Su and Zheming Lu. Robust DCT-SVD Domain Image Watermarking. Chapter of Steganography and Watermarking. 2012
- Zhifang Chen, Yuxin Su and Zheming Lu. Reversible data hiding for BTC-compressed color images using difference expansion. ICIC Express Lett Part B Appl.2(5). 2011
- Caihua Li, Zheming Lu and Yuxin Su. Reversible Data Hiding for BTC-Compressed Images Based on Bitplane Flipping and Histogram Shifting of Mean Tables, Information Technology Journal, 10(3), 2011
- Zhifang Chen, Zheming Lu and Yuxin Su. High-capacity reversible data hiding scheme for optimal common-bitplane BTC-compressed color images. ICIC Express Lett. 12(5). 2011
- Guangyu Kang, Yuxin Su, Shize Guo, Ruixu Guo and Zheming Lu. Steganalysis Using Fractal Block Codes and AP Clustering in Grayscale Images. JEST, 9(4), 2011
Hornors
- First class stipend for postgraduate student, Zhejiang
University. (2011-2013)
- First class honor for postgraduate student, Zhejiang
University. (2011-2012)
- Prize for best undergraduate dissertation, Sun Yat-sen
University. (Award for 2% students)