Luo Mai

Contact
Email: luo.mai11[AT]imperial.ac.uk

About Me
I am a research associate in the Large-Scale Data & Systems (LSDS) group of Imperial College London under the supervision of Prof. Peter Pietzuch. My research interests lie at the intersection between Big data systems and data centre networking, with a current focus on enabling deep learning and stream processing at scale.

I obtained my PhD from Imperial College London in 2018 under the supervision of Dr. Paolo Costa and Prof. Alexander L. Wolf. Prior, I obtained a Master of Research in Advanced Computing at Imperial College London, and a Bachelor of Computer Science at Xidian University. I am the recepient of Google Fellowship in Cloud Computing and co-founder of the popular open-source deep learning library TensorLayer.


Projects
  • FungFu: Future Scalable ML/AI System, 2018 - Current
    KungFu explores for a new design of training systems to support emerging ML/AI algorithms.

  • TensorLayer: A Versatile Deep Learning Library, 2016 - Current
    TensorLayer (GitHub) is a popular open-source deep learning library based on Google TensorFlow. It is awarded the best open-source software by ACM Multimedia in 2017.
    [Publication and Talks: ACM Multimedia'17, Google DevFest 2018]

  • Flare: High-performance and Adaptive Stream Processing at Scale, 2015 - Current
    Flare is a novel distributed streaming engine that enables large-scale real-time analytics in resource-constrained data ingestion clusters. Flare is a collaboration with production teams from Microsoft.
    [Publication: PVLDB'18]

  • NaaS: Network-as-a-Service in the Cloud, 2012 - 2016
    NaaS integrates current cloud computing offerings with direct yet secure access to the network infrastructure by tenants, thus enabling a wide spectrum of in-network computing applications. NaaS was supported by Google and UK EPSRC.
    [Publications: USENIX ATC'17, USENIX ATC'16, USENIX HotCloud'16, USENIX HotCloud'15, ACM CoNEXT'14]

Experiences
  • Visiting Researcher, Microsoft, Redmond, 2017 - 2018
  • Research Software Engineer Intern, Microsoft Cloud and Information Services Lab, Redmond, 2016
  • Research Intern, Microsoft Research, Redmond, 2015
  • Research Intern, Microsoft Research, Asia, 2014

Awards and Honours
  • Azure Research Sponsorship Award, 2017 - 2018
  • ACM Multimedia Conference Best Open Source Software Award, 2017
  • Google PhD Fellowship, 2012 - 2016
  • ACM CoNEXT Conference Best Paper Finalist, 2014
  • IEEE MASS Conference Best Student Paper Finalist, 2011
  • China National Scholarship, 2010

Publications
Google scholar profile page
PhD Thesis Earlier Publication during Undergraduate Study