Ziheng Jiang

Ziheng Jiang

Ph.D. Student

University of Washington

Biography

Ziheng Jiang is a Ph.D. Student advised by Luis Ceze in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He also work closely with Tianqi Chen. His current research center around co-designing efficient algorithms and systems for machine learning. He received his Bachelor’s degree from Fudan University, where he was a member of Fudan NLP Lab, working with Xipeng Qiu, and Zheng Zhang.

Besides coding, he also enjoy snowboarding, photography, and badminton:)

Interests

  • Machine Learning
  • Large-Scale Computing System

Education

  • PhD in Computer Science, 2018 - Present

    University of Washington

  • BSc in Computer Science, 2013 - 2018

    Fudan University

Experience

 
 
 
 
 

Research Intern

Google Brain

Jun 2019 – Sep 2019 California
 
 
 
 
 

Graduate Research Assistant

University of Washington

Sep 2018 – Present Seattle
 
 
 
 
 

Research Intern

Amazon AWS Machine Learning Group

Feb 2017 – Oct 2017 California
 
 
 
 
 

Undergraduate Research Assistant

New York University, Shanghai

Apr 2016 – Jan 2017 Shanghai
 
 
 
 
 

Undergraduate Research Assistant

Fudan University

Sep 2015 – Jan 2017 Shanghai

Publications

[Preprint] Automated Backend-Aware Post-Training Quantization
[IEEE MICRO 2020] A Hardware–Software Blueprint for Flexible Deep Learning Specialization
[Preprint] Relay: A High-Level Compiler for Deep Learning
[NIPS 2018] Learning to Optimize Tensor Programs
[OSDI 2018] TVM: An Automated End-to-End Optimizing Compiler for Deep Learning