I joined the TensorFlow team at Google AI in July 2018.
I received my Ph.D. in Computer Science from Princeton University, advised by Professor Michael J. Freedman. My research focuses on designing scalable, reliable, and highly-efficient distributed systems, which include topics on datacenter resource scheduling, big-data analytics, distributed machine learning, video stream processing, and in-network computing.
Previously, I interned at Facebook (summer 2017) and Microsoft Research (summer 2015). Before coming to Princeton, I received my B.Sc. in Computer Science from Peking University in 2013. I also received my B.A. in Economics (double major) from National School of Development.
me (at) haoyuzhang (dot) org
Experience
Google AI
Software Engineer, TensorFlow
07/2018--Present
Princeton University, S* Network Systems (SNS) Group
Ph.D. in Computer Science
09/2013--06/2018
Facebook, Data Infrastructure
Ph.D. Software Engineer Intern
06/2017--08/2017
Microsoft Research, Mobility and Networking Research
Research Intern
06/2015--08/2015
Peking University
B.Sc. in Computer Science, B.A. in Economics
09/2009--06/2013
Technion -- Israel Institute of Technology
Research Exchange Student
09/2012--02/2013
Selected Publications
Riffle: Facebook's Optimized Shuffle Service for Large-Scale Data Analytics
Haoyu Zhang, Brian Cho, Ergin Seyfe, Avery Ching, Michael J. Freedman
European Conference on Computer Systems (EuroSys '18). Porto, Portugal
[PDF] [Slides] [BibTeX] [Spark Summit]
NetChain: Scale-Free Sub-RTT Coordination
Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
USENIX Symposium on Networked Systems Design and Implementation (NSDI '18). Renton, WA, USA
Best Paper Award [PDF] [Extended Version] [Slides] [BibTeX] [The Morning Paper]
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman
ACM Symposium on Cloud Computing (SoCC '17). Santa Clara, CA, USA
Best Paper Award [PDF] [Slides] [BibTeX]
Poster (extended abstract) at the 1st SysML Conference (SysML '18). Stanford, CA, USA
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodik, Matthai Philipose, Paramvir Bahl, Michael J. Freedman
USENIX Symposium on Networked Systems Design and Implementation (NSDI '17). Boston, MA, USA
[PDF] [Slides] [BibTeX] [Project Website]
