Ziyu Shao
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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 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 decision making, including but not limited to
Bandit and (Deep) Reinforcement Learning
Generative AI and World Model
Multi-Agent Network
Resource-Limited LLM System
Lightweight AGI Systems: Integration of interactive AI, edge intelligence, embedded intelligence and embodied intelligence.
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)
Openings
Students and Postdocs: I am constantly looking for highly motivated students (undergrad and graduate) and postdocs who are interested in lightweight AGI systems, reinforcement learning, and resource-limited LLM system. Please email me if you are interested.
Recent News
One paper accepted by NeurIPS 2025.
Contact
Ziyu Shao
Room 2-302G, SIST Building
No.393 Huaxia Middle Road
ShanghaiTech University
Email: shaozy@shanghaitech.edu.cn or ziyu.shao@gmail.com