About Me

I am a first year Ph.D student advised by Ce Zhang at ETH Zurich. My research focus on speeding up machine learning systems and making them more accessible to users.

News

  • Jun.26th, 2017: Our work "Scalable Inference of Decision Tree Ensembles: Flexible Design for CPU-FPGA Platforms" is accepted at FPL 2017.
  • May.12th, 2017: Our ZipML work "The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning" is accepted at ICML 2017.
  • May.10th, 2017: I gave a talk "Faster Machine Learning via Low-Precision Communication and Computation" with Dan Alistarh at Nvidia GPU Technology Conference (GTC) 2017. (Video, Slides)

Publications

Education

  • Ph.D. Candidate, ETH Zurich, 2017.5 - Present
  • M.S., ETH Zurich, 2014.9 - 2017.4
  • B.S., Peking University, 2010.9 - 2014.6