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 Dept. of System Engineering and Engineering Mangement in 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

• CUHK Postgraduate Studentship, 2020-2024.
• 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

• [July 2025]: I gave an invited talk at the INFORMS International Meeting in Singapore on the nonconvex performative prediction problem. Slides are available here. Many thanks to Prof. Wang Chi Cheung for the kind invitation.
• [May 2025]: My paper titled “Clipped SGD Algorithms for Performative Preidction: Tight Bounds for Stochastic Bias and Remedies” (with Prof. Wai and Prof. Yemini) has been accepted to ICML 2025 (main conference) 🎉. Paper Webpage
• [Feb 2025]: My paper titled “Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity” (with Prof. Wai) has been accepted to IEEE Transactions on Automatic Control (full paper).
• [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.