About Me

I’m currently an AI Resident at Google Research, focusing 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 spent time on various things at Apple, AWS, and Facebook.

I’m broadly interested in machine learning and its applications, and in the past I have done research in computer vision and reinforcement learning.

Research

(*equal contribution, alphabetical order)
The Distributed Discrete Gaussian Mechanism for
Federated Learning with Secure Aggregation

Peter Kairouz, Ziyu Liu, Thomas Steinke
ICML 2021: International Conference on Machine Learning
(Camera-ready version available soon)
[PDF] [BibTeX] [Code]
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] [BibTeX] [Abstract/Supp] [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

Misc