About me

I am a Computer Science PhD student at New York University advised by Professor Jinyang Li, and I am also a proud member of NYU System Group. I am broadly interested in doing research in distributed computing frameworks. Currently, my primary research work focuses on applying system techniques to improving the performance of machine learning frameworks.

Before going to NYU, I received my B.S. in Computer Science at Nanjing University, China, where I was advised by Professor Wenzhong Li, and worked on improving performance of wireless network.

Here is a one-page version of my Resume. Or you can download a full version of my CV.

Education

  • Ph.D. Computer Science                        (2016.9 - Present)
    New York University, New York, NY, United States

  • B.S. Computer Science                           (2012.9 - 2016.6)
    Nanjing University, Nanjing, Jiangsu, China

  • University Exchange Program             (2015.9 - 2016.4)
    University of Waterloo, Waterloo, Ontario, Canada

Publication

  • Pin Gao, Lingfan Yu (equal contribution), Yongwei Wu, Jinyang Li.
    Low Latency RNN Inference with Cellular Batching
    Eurosys’18, Porto, Portugal, April 2018.
    [paper, talk, slides]
  • Cheng Tan, Lingfan Yu, Joshua B. Leners, Michael Walfish.
    The Efficient Server Audit Problem, Deduplicated Re-execution, and the Web (Best paper award).
    SOSP’17, Shanghai, China, October 2017
    [paper]