• Algorithm design and analysis for bilevel, minimax, stochastic, distributed, and online optimization
• Applications for data science, AI/machine learning, healthcare, and decision-making under uncertainty

Sanyou MEI joined the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology as an Assistant Professor in August 2025. He received his Ph.D. in Industrial Engineering (2025) and M.S. in Industrial and Systems Engineering (2023) from University of Minnesota and B.S. in Mathematics and Applied Mathematics from the University of Science and Technology of China (2020).

• INFORMS Optimization Society 2024 Student Paper Prize Honorable Mention
  for the paper "Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient" coauthored with Prof. Zhaosong Lu.

1. Zhaosong Lu, Sanyou Mei, Yifeng Xiao (2024), Variance-reduced First-order Methods for Deterministically Constrained Stochastic Nonconvex Optimization with Strong Convergence Guarantees. arXiv:2409.09906 


2. Zhaosong Lu, Sanyou Mei (2024), Primal-Dual Extrapolation Methods for Monotone Inclusions Under Local Lipschitz Continuity. Mathematics of Operations Research. 


3. Zhaosong Lu, Sanyou Mei (2024), A First-order Augmented Lagrangian Method for Constrained Minimax Optimization. Mathematical Programming, 213, pp.1063–1104. 


4. Zhaosong Lu, Sanyou Mei (2024), First-Order Penalty Methods for Bilevel Optimization. SIAM Journal on Optimization, 34(2), pp.1937-1969. 


5. Zhaosong Lu, Sanyou Mei (2023), Accelerated First-order Methods for Convex Optimization with Locally Lipschitz Continuous Gradient. SIAM Journal on Optimization, 33(3), pp.2275-2310.