Ziyu Shao

Ziyu Shao 

Welcome to my homepage! I am a tenured associate professor in the School of Information Science and Technology@ ShanghaiTech University. I direct the Intelligence, Information and Decision Lab @ SIST!

I received my Ph.D. from the information engineering department @ The Chinese University of Hong Kong in December 2010. My advisor was Prof. Shuo-Yen Robert Li (Bob li). I was then a postdoctoral researcher, first worked with Prof. Minghua Chen until November 2012, then worked with Prof. Bob Li and Prof. Raymond Yeung until December 2013. Prior to my Ph.D., I received my B.S. and M.E from Peking University, Beijing, China, both in EE.

Prof. Jean Walrand@UC Berkeley served as a member of my Ph.D. Thesis Committee.

In 2012, I was a visiting research fellow at the EE department @ Princeton University.

In 2017, I was a visiting professor at the RISELab (previously AMPLab) of EECS department @ University of California at Berkeley, working with Prof. Ion Stoica and Prof. Michael Jordan.

I was also a visiting scientist at the Simons Institute for the Theory of Computing at Berkeley.

My Erdos Number is 3 with the three-hop path: Ziyu Shao, Shuo-Yen Robert Li, Ronald Graham, Paul Erdos

My Einstein Number is 4 with the four-hop path: Ziyu Shao, Shuo-Yen Robert Li, Ronald Graham, Ernst Straus, Albert Einstein

I am a senior member of IEEE and a member of ACM.

Research Interests

My research centers on co-design of learning, computing, communication and control for intelligent networks and networks of intelligent agents, including but not limited to

  • Networked Intelligence System

  • Distributed AI system

  • On Device Machine Learning System

  • Bandit and (Deep) Reinforcement Learning

  • Deep Learning with Principled Design

  • Edge Computing and Internet of Things

  • Cloud Computing and Data Center Networks

Research Collaborations

  • Prof. Jean Walrand (UC Berkley)

  • Prof. Kannan Ramchandran (UC Berkeley)

  • Prof. Junshan Zhang (UC Davis)

  • Prof. Salman Avestimehr (USC)

  • Prof. John Lui (CUHK)

  • Prof. Jianwei Huang (CUHK Shenzhen)

  • Prof. Hong Xu (CUHK)


Students and Postdocs: I am constantly looking for highly motivated students (undergrad and graduate) and postdocs who are interested in networked and distributed AI, learning and optimization, cloud intelligence and edge intelligence, and data science. Please email me if you are interested.

Recent News

  • December 2022: Our paper “Neural Constrained Combinatorial Bandits” has been accepted by INFOCOM 2023. Congratulations to Shangshang, Simeng and Xin Liu.


Ziyu Shao
Room 2-302G, SIST Building
No.393 Huaxia Middle Road
ShanghaiTech University
Email: shaozy@shanghaitech.edu.cn or ziyu.shao@gmail.com