About

• Ph.D. Candidate
• Dept. of System Engineering & Engineering Management
• The Chinese University of Hong Kong (CUHK)
• Email: qiangli [at] link.cuhk.edu.hk
• Office: Room 511, William M.W. Mong Engineering Building, CUHK

Bio

I am currently a final-year PhD student in System Engineering and Engineering Mangement at the The Chinese University of Hong Kong, where I was supervised by Prof. Hoi-To Wai. Prior to CUHK, I earned a B.S. at the Harbin Institute of Technology, China.

Education

• Ph.D in Operation Research, 2020-present
  Department of System Engineering & Engineering Management
  The Chinese University of Hong Kong

• B.E. in Information and Computing Science, 2016-2020
  Department of Mathematics
  Harbin Institute of Technology

Honors & Awards

• National Scholarship of HIT, 2019
• Second Class Innovation Scholarship from the Ministry of Industry and Information Technology of China, 2019.
• Outstanding graduates of Harbin Institute of Technology, 2020.

Research Interests

My research is centered around stochastic optimization, distributed optimization (multi-agent system) and theories in machine lerning area. More details about my research is here.

Recent News

• [Sept 2024]: My paper titled “Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss” (with Prof. Wai) has been accepted to the NeurIPS 2024 main conference.
• [June 2024]: My paper titled “Privacy-Efficacy Tradeoff of Clipped SGD with Decision-dependent Data” (with Prof. Wai and Prof. Yemini) has been accepted to ICML 2024, Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact Workshop.
• [May 2024]: My paper titled “Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data” (with Prof. Wai and Haitong Liu) has been accepted to the ICML 2024 main conference.
• [Sept 2022]: My paper titled “On the Role of Data Homogeneity in Multi-Agent Nonconvex Stochastic Optimization” (with Prof. Wai) was accepted to IEEE CDC 2022.