Welcome! I joined the Dept. of Computer Science at the University of Chicago as an Assistant Professor in July 2018.

I received my B.A. in computer science from Tsinghua University (Yao Class). I received my PhD in computer science from Carnegie Mellon University in 2017. I was advised by Vyas Sekar and Hui Zhang.

Research interests: networked systems. My research applies state-of-the-art machine learning techniques to drastically improve the performance and reliability of large-scale networked systems.

[Curriculum Vitae]

We have opening for PhD students!! Apply here and mention my name in the application.

If you are UChicago student (undergrad or grad) and interested in internship opportunities in my group, feel free to drop me an email with your CV.

Recent Projects

LMCache: Long-Context LLM Serving by Sharing Knowledge (KV Cache)
  • LMCache Project is open-source. Check it out!
  • Technical reports: CacheGen(SIGCOMM'24) and CacheBlend(EuroSys'25 to appear).
  • Articles: UChicago News.
  • Talk: Talk at ML/AI Infra Meetup

  • Loss Resilient Real-Time Video via Neural Codec
  • Code is publicly available!
  • Technical reports: Grace (NSDI'24).
  • A recent article that introduces the idea.
  • Professional Activities

  • AI+Systems Seminar at UChicago
  • Program Committee: SIGCOMM (2023, 2020, 2019), NSDI (2025, 2024, 2023, 2022, 2021), OSDI (2024), EuroSys (2024), HotNets (2022, 2021), CoNEXT (2024, 2023, 2021, 2020, 2019, 2018), ATC (2020, 2018), HotCloud (2018), APNet (2021, 2019, 2018), MMSys (2019, 2018)
  • Organizing Committee: MobiCom 2021 HotEdgeVideo Workshop, SIGCOMM 2019 NetAI Workshop, Area Chair (Networking) JSys
  • Awards

  • NSF CAREER, 2022
  • ACM/IEEE Symposium on Edge Computing (SEC), Best Paper Runner-up, 2021
  • ACM/IEEE Symposium on Edge Computing (SEC), Best Paper, 2020
  • Google Faculty Research Award, 2019
  • CMU SCS Doctoral Dissertation Award, 2017
  • Nominated for ACM Doctoral Dissertation Award by CMU
  • Team

    PhD Students

    Xu Zhang (Harper Dissertation Fellowship) on Internet QoE --> Conviva Inc. --> Meta
    Kuntai Du (Siebel Scholar) on video analytics
    Zhengxu Xia
    Yihua Cheng
    Yuhan Liu (with Shan Lu)
    Siddhant Ray (with Nick Feamster)

    PhD Thesis

    Enabling Data-Driven Optimization of Quality of Experience in Internet Applications, Carnegie Mellon University, July 2017
    Winner of the CMU SCS Doctoral Dissertation Award and Nomination for ACM Dissertation Award.

    Recent Publications

    Click here for earlier publications, journal articles, and technical reports.

    Teaching

    Recent Talks

    May 2017: My doctoral dissertation: Enabling Data-Driven Optimization of Quality of Experience in Internet Applications

    March 2017: "Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation", in NSDI 2017, Boston, USA