Luo Mai

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 Computer Systems Group.

Before coming to Edinburgh, I was a research associate (2018 - 2020) at the Imperial College London working with Peter Pietzuch. I earned my PhD degree from Imperial College London under the supervision of Paolo Costa and Alexander L. Wolf. My PhD was supported by a Google Fellowship in Cloud Computing. During my PhD study, I was a research intern (2015, 2016) and a visiting researcher (2017) at Microsoft Research.

I am always looking for self-motivated PhD, MScR and Post-doc. Drop me an email with your CV if you are interested. I am a member of the supervisor teams in the CDT in NLP and the CDT in Biomedical AI. Check here for how to apply.

Interests

  • Computer Systems
  • Distributed Systems
  • Machine Learning
  • Data Management
  • Quantum Computing

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

Paper in NeurIPS 2022

Our paper “A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning” is accepted by NeurIPS 2022, a top confernece in the area of machine learning. This paper is based on our recently released differential optimisation library: TorchOpt.

MegBA in ECCV 2022

Our Paper “MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment” is accepted by ECCV 2022. ECCV is considered to be one of the top conferences in computer vision, alongside CVPR and ICCV.

Ekko in OSDI 2022

Our Paper “Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update” is accepted by USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2022. OSDI is a highly selective flagship conference in computer science, especially on the topic of computer systems.

Publications

(2022). A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. In NeurIPS.

(2022). MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment. In ECCV.

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(2022). Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update. In USENIX OSDI.

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(2021). Efficient Reinforcement Learning Development with RLzoo. In ACM Multimedia (Open-source Software Competition).

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(2021). Fast and Flexible Human Pose Estimation with HyperPose. In ACM Multimedia (Open-source Software Competition).

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(2021). Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. In USENIX NSDI.

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(2020). KungFu: Making Training in Distributed Machine Learning Adaptive. In USENIX OSDI.

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(2020). Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources. In USENIX HotCloud.

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(2019). CrossBow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. In VLDB.

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(2019). Taming Hyper-parameters in Deep Learning Systems. In ACM SIGOPS Operating Systems Review (Invited Paper).

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Software

Quiver

Fast and Easy Distributed Graph Learning for PyTorch GitHub stars

KungFu

Adaptive Large-scale Deep Learning GitHub stars

TensorLayer

Easy-to-use Deep Learning Library GitHub stars

HyperPose

Real-time Visual Computing Library GitHub stars

RLzoo

Reinforcement Learning Model Zoo GitHub stars

CrossBow

Deep Learning on Multi-GPU Servers GitHub stars

Group

Grad Students

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Yao Fu

PhD Student

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Man-Kit Sit

PhD Student

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Leyang Xue

PhD Student (Co-supervised with Mahesh)

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Congjie He

PhD Student

Visitors

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Jie Ren

Collaborator

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Xiulong Yuan

Collaborator

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Chijun Sima

Collaborator

Alumni

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Zeyuan Tan

MScR Student

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Jiawei Liu

Visiting Student

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Marcel Wagenlander

Visiting Student

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Guanqi Zhan

Visiting Student

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Ioan Budea

MEng Student

Service and Awards

Conference Committee Member

  • ICDE 2023 (Industry Track), 2022, 2021
  • MICRO 2022 (ERC)

Journal Reviewer

  • ACM Transactions on Computer Systems
  • IEEE Transactions on Big Data

Research Awards

  • Tencent Research Award, 2022
  • Alibaba Innovative Research Award, 2020
  • Microsoft Azure Research Award, 2018
  • ACM Multimedia Best Open-Source Software Award, 2017
  • Google PhD Fellowship, 2012 - 2016
  • ACM CoNEXT Conference Best Paper Finalist, 2014
  • IEEE MASS Conference Best Paper Finalist, 2012

Contact

  • luo.mai@ed.ac.uk
  • IF-2.03, Informatics Forum, University of Edinburgh, Edinburgh, EH8 9AB