Ziyu Shao

Ziyu Shao 



Welcome to my homepage! I am an Assistant 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 August 2010. My advisor was Prof. Shuo-Yen Robert Li (Bob li). I was then a postdoctoral researcher in the same department from September 2010 to November 2012, working with Prof. Minghua Chen. Then I was a Postdoctoral Fellow at the Institute of Network Coding @ The Chinese University of Hong Kong from December 2012 to December 2013, working with Prof. Bob Li and Prof. Raymond Yeung. 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.


I have been a visiting research fellow at the EE department @ Princeton University, working with Prof. Mung Chiang.


I have been 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 in 2017.


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

Research Interests

My research centers on convergence of computing, communication and control for large-scale networks, including but not limited to

  • Network Intelligence and Data Science

  • Machine Learning and Optimization Algorithm

  • Bandit and Reinforcement Learning

  • Online Learning and Control

  • Fog Computing and Internet of Things

  • Cloud Computing and Data Center Networks

Research Collaborations

  • Prof. Ion Stoica (UC Berkeley)

  • Prof. Michael Jordan (UC Berkeley)

  • Prof. Jean Walrand (UC Berkley)

  • Prof. Kannan Ramchandran (UC Berkeley)

  • Prof. Mung Chiang (Purdue and Princeton)

  • Prof. Junshan Zhang (ASU)

  • Prof. Salman Avestimehr (USC)

  • Prof. Shuo-Yen Robert Li (CUHK)

  • Prof. Raymond Yeung (CUHK)

  • Prof. Jianwei Huang (CUHK)

  • Prof. Minghua Chen (CUHK)

  • Prof. Hong Xu (HK City U)

  • Prof. Ning Cai (ShanghaiTech)

Openings

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


Visiting Scholars and Visiting PhD Students: I am always looking for self-motivated visiting scholars and PhD students who are passionate about network science and data science. Excellent applicants’ expenses at ShanghaiTech can be covered. Please email me if you are interested.

Recent News

  • We are organzing a workshop of around 10-12 speakers in ASSIST 2019, focusing on the theme of ‘‘Learning for Intelligent Networks’’. Current topics include both theory and applications of multi-armed bandit, reinforcement learning, deep learning, online learning and game-theoretic learning.

  • We are organzing ‘‘Annual ShanghaiTech Symposium on Information Science and Technology (ASSIST) 2019’’ (ASSIST 2019) in this Summer!

Contact

Ziyu Shao
Room 1C-403D, SIST Building
No.393 Huaxia Middle Road
ShanghaiTech University
Email: shaozy@shanghaitech.edu.cn or ziyu.shao@gmail.com