About me

I am a recent Ph.D. graduate from the Computer Science Department at New York University. Currently, I am seeking industrial job opportunities.

During my Ph.D. at NYU, I was advised by Professor Jinyang Li. I am generally interested in improving the execution performance of Deep Learning systems. Currently, my research primarily focuses on optimizing model serving, particularly serving systems for Large Language Models.

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

Here is my one-page resume and a full version of my CV.


  • Computer Science Ph.D. Program
    2016.9 - 2024.5
    New York University, New York, NY, United States

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

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


  • Stateful Large Language Model Serving with Pensieve [paper]
    Lingfan Yu, Jinyang Li
    ArXiv preprint arXiv:2312.05516, Under Review
  • Scalable Graph Neural Networks for Heterogeneous Graphs [paper]
    Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer
    ArXiv preprint arXiv:2011.09679
  • Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs [paper]
    Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola and Zheng Zhang
    ICLR’19 Workshop on Representation Learning on Graphs and Manifolds
    New Orleans, United States, May 2019
  • Low Latency RNN Inference with Cellular Batching [paper]
    Pin Gao, Lingfan Yu (co-first author), Yongwei Wu, Jinyang Li.
    Porto, Portugal, April 2018.
  • The Efficient Server Audit Problem, Deduplicated Re-execution, and the Web [paper]
    Cheng Tan, Lingfan Yu, Joshua B. Leners, Michael Walfish.
    SOSP’17 (Best paper award)
    Shanghai, China, October 2017

Work Experience

  • Research Intern at Facebook AI Research, Facebook, Inc.
    2020.5 - 2020.9

  • Applied Scientist Intern at Amazon Web Services, Inc.
    2019.6 - 2019.8