Si Si

Si Si

Si Si (PhD in computer science, University of Texas at Austin, 2016) is a Research Scientist at Google. Si conducts research in many areas of machine learning such as large-scale problems and on-device machine learning, etc. More information can be found on her webpage (https://springdaisy.github.io/).
Authored Publications
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    Google
Serving Graph Compression for Graph Neural Networks
Cho-Jui Hsieh
International Conference on Learning Representations (ICLR) (2023)
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
Cho-Jui Hsieh
Tesi Xiao
Xuanqing Liu
Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Area Attention
Lukasz Kaiser
Samy Bengio
ICML (2019)