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, deepl learning, and theory. In the past, I have explored human action understanding and multi-agent reinforcement learning.

Email / LinkedIn / GitHub / Google Scholar

Research

(*equal contribution, alphabetical authorship)
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]
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]
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]
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
Facebook, Menlo Park, United States
Software Engineer Intern, Messenger Ranking, 2019/2020
Amazon Web Services, Sydney, Australia
Software Engineer Intern, Safety Engineering, 2018/2019
Apple, Cupertino, United States
Software Engineer Intern, Core OS, 2018

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