About Me
I’m currently an MS research student at Carnegie Mellon University, co-advised by Prof. Virginia Smith and Prof. Artur Dubrawski. Before CMU, I spent some time at Google Research where I was fortunate to work closely with Peter Kairouz and Jakub Konečný on federated learning. Before that, I did my undergrad in computer science at the University of Sydney, where I was advised by Prof. Wanli Ouyang and received First Class Honours and the University Medal. I’ve also worked on various things at Apple, AWS, and Facebook.
I am broadly interested in developing practical intelligent systems. My current exploration focuses on privacy-preserving machine learning via federated learning and differential privacy. I am also interested in computer vision, deep learning, and theory.
Email / LinkedIn / GitHub / Google Scholar
Research
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The Skellam Mechanism for
Differentially Private Federated Learning Naman Agarwal†, Peter Kairouz†, Ziyu Liu† NeurIPS 2021: Conference on Neural Information Processing Systems Oral Presentation at PPML 2021 PDF / Abstract / BibTeX / Code / Talk 1 / Talk 2 |
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The Distributed Discrete
Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz†, Ziyu Liu†, Thomas Steinke† ICML 2021: International Conference on Machine Learning Oral Presentation at TPDP 2021 PDF / Abstract / Short Ver. / BibTeX / Code / Talk |
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Learning Implicit Credit
Assignment for Cooperative Multi-Agent Reinforcement Learning
Meng Zhou*, Ziyu Liu*, Pengwei Sui, Yixuan Li, Yuk Ying Chung NeurIPS 2020: Conference on Neural Information Processing Systems PDF / BibTeX / Code |
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Disentangling and Unifying
Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang CVPR 2020: Conference on Computer Vision and Pattern Recognition Oral Presentation PDF / Abstract / Supp / BibTeX / Demo / Code Star |
Teaching
I have been a teaching assistant for the following courses at the University of Sydney:
Experience
Google
AI Resident, Present |
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Facebook, Menlo Park,
United States Software Engineer Intern, Messenger Ranking, 2019/2020 |
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Amazon Web
Services, Sydney, Australia Software Engineer Intern, Safety Engineering, 2018/2019 |
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Apple, Cupertino, United
States Software Engineer Intern, Core OS, 2018 |
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Professional Service
I’m serving as a reviewer for:
- CVPR 2022: IEEE/CVF Conference on Computer Vision and Pattern Recognition
- IJCV 2021: International Journal of Computer Vision