My image.

Bio

Hi, my name is Zhenyu Song (宋振宇, pronounced as zen-yu).

I’m currently a Ph.D. student at CS Department, Princeton, under the supervision of Prof. Kai Li and Prof. Wyatt Lloyd. I’m interested in many system topics, and currently working on using machine learning to improve content delivery network (CDN) caching.

I earned my undergrad at Shanghai Jiao Tong University. I attended Intelligent Internet of Things(IIoT), SJTU, under the supervision of Prof. Xinbing Wang and Prof. Xiaohua Tian.

CV: PDF

Email: zhenyus [at] cs.princeton.edu

Publications

  1. Learning Relaxed Belady for Content Distribution Network Caching. [PDF] [Code] [Dataset] [Video]
    Zhenyu Song, Daniel S. Berger, Kai Li, Wyatt Lloyd.
    USENIX NSDI 2020

  2. Wi-Fi Goes to Town: Rapid Picocell Switching for Wireless Transit Networks. [PDF] [Slides] [Video] [Demo]
    Zhenyu Song, Longfei Shangguan, Kyle Jamieson.
    ACM SIGCOMM 2017

  3. Modeling Topic-level Academic Influence in Scientific Literatures. [PDF][Slides]
    Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang.
    AAAI 2016 Workshop on Scholarly Big Data

  4. HiQuadLoc: A RSS Fingerprinting based Indoor Localization System for Quadrotors. [PDF]
    Xiaohua Tian, Zhenyu Song, Binyao Jiang, Yang Zhang, Tuo Yu, Xinbing Wang.
    IEEE TMC 2016

Collaborators

My research has been made possible through collaborations with several incredible mentors and mentees.

Mentors

Mentees

  • Maxwell Xu (Princeton Undergrad 2021) → Microsoft
  • Audrey Cheng (Princeton Undergrad 2020) → Berkeley PhD Program
  • John Suh (Princeton Undergrad 2020) → Robinhood

Service

External Reviewer

  • OSDI 2018