Hi, my name is Zhenyu Song (
宋振宇, pronounced as
I’m currently a Ph.D. student at CS Department, Princeton, under the supervision of Prof. Kai Li and Prof. Wyatt Lloyd. I work on using machine learning to improve content delivery network (CDN) caching. Prior to that, I received my bachelor degree from Shanghai Jiao Tong University, where I was fortunate to work with Prof. Xinbing Wang and Prof. Xiaohua Tian.
I am on the job market and looking for an industry postion. Please send me an email if you think I am a good fit for your team.
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network. [PDF] [Video]
Zhenyu Song, Kevin Chen, Nikhil Sarda, Deniz Altınbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi.
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
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
My research has been made possible through collaborations with several incredible mentors and mentees.
- Maxwell Xu (Princeton Undergrad 2021) → Microsoft
- Audrey Cheng (Princeton Undergrad 2020) → Berkeley PhD Program
- John Suh (Princeton Undergrad 2020) → Robinhood
- OSDI 2022
- OSDI 2018