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Faculty Profile

Zhize LI's photo

Zhize LI

Full-time Faculty
Assistant Professor of Computer Science
School of Computing and Information Systems SCIS


Qualification

  • PhD, Tsinghua University, 2019

  Teaching Topics

  • Data Structures and Algorithms
  • Programming Fundamentals

  Research Advisor/Co-Research Advisor to

 

Highlights
16
Publications
24
H-Index (All Time)
1980
Citations (All Time)
Zhize Li is an award-winning computer scientist specializing in optimization and federated learning, with a strong track record in algorithmic innovation, large-scale data analysis, and privacy-preserving machine learning.

Recognized for pioneering efficient and resilient algorithms in federated and distributed learning, bridging theoretical advances with practical solutions for privacy, scalability, and robustness; recipient of multiple prestigious awards including the Tsinghua Outstanding Doctoral Dissertation Award and Rising Star in AI at KAUST; highly active in international research leadership and community service.

Focused research areas include Federated and distributed optimization, communication-efficient algorithms, privacy and resiliency in machine learning, large-scale clustering, nonconvex and stochastic optimization, and theoretical foundations for scalable AI.
Optimization and machine learninglarge-scaledistributedand decentralized optimizationfederated learning (privateefficientand resilient)algorithmic theorycommunication-efficient and privacy-preserving learning.
This highlights are AI-generated content using the faculty's CV.


Qualification

  • PhD, Tsinghua University, 2019

  Teaching Topics

  • Data Structures and Algorithms
  • Programming Fundamentals

  Research Advisor/Co-Research Advisor to