Luo Mai

Assistant Professor

University of Edinburgh

About Me

I am an Assistant Professor (UK Lecturer) in the School of Informatics at the University of Edinburgh. I am a member of the Institute of Computing Systems Architecture, where I am leading the Large-scale AI Systems Group. My group aims to design and implement scalable and adaptive computer systems, with the current focus on enabling challenging machine learning and big data applications.

Before joining Edinburgh, I was a research associate (2018 - 2020) in the Large-scale Data & Systems Group at Imperial College London. I received my PhD from Imperial College London (advised by Paolo Costa) with the generous support of a Google Doctoral Fellowship in Cloud Computing. During my study, I visited Microsoft Research as a research intern (2015, 2016) and a visiting researcher (2017).

If you are interested in working with me as a Postdoc/PhD/MScR, please drop me an email with your CV.

Interests

Computer Systems
Machine Learning
Data Management

Education

PhD in Computer Science, 2018

Imperial College London, UK
MRes in Advanced Computing, 2012

Imperial College London, UK
BSc in Software Engineering, 2011

Xidian University, China

News

Quiver is open-sourced

Quiver is a distributed graph learning library for PyTorch Geometric (PyG). Its excellent performance and scalablity has made it quickly become the recommended distributed library for PyG.

Oct 31, 2021

HyperPose and RLzoo in open-source software competition

HyperPose and RLzoo are both accepted to the Open-source Software Competition in ACM Multimedia 2021. ACM Multimedia is the worldwide premier conference and a key world event to display scientific achievements and innovative industrial products in the multimedia field.

Aug 15, 2021

Invited lecture at the Oxford ML sunmer school

I am honored to give a lecture about AI/ML systems at the prestigious Oxford Machine Learning Summer School. The school covers some of the most important topics in ML/DL that the field is showing a growing interest in (e.

Jul 31, 2021

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Publications

Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong (2021). Efficient Reinforcement Learning Development with RLzoo. In ACM Multimedia (Open-source Software Competition).

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Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong (2021). Fast and Flexible Human Pose Estimation with HyperPose. In ACM Multimedia (Open-source Software Competition).

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Le Xu, Shivaram Venkataraman, Indranil Gupta, Luo Mai, Rahul Potharaju (2021). Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. In USENIX NSDI.

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Luo Mai, Guo Li, Marcel Wagenlander, Konstantinos Fertakis, Andrei-Octavian Brabete, Peter Pietzuch (2020). KungFu: Making Training in Distributed Machine Learning Adaptive. In USENIX OSDI.

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