Postdoctoral Fellow
Education
- Ph.D. Operations Research (2025), Massachusetts Institute of Technolody
- B.S. Mathematics and Applied Mathematics (2020), Fudan University
About
Zikai Xiong is a postdoctoral fellow at the Georgia Tech H. Milton Stewart School of Industrial and Systems Engineering (ISyE), working with Prof. Katya Scheinberg. He will join the Northwestern University Department of Industrial Engineering and Management Sciences (IEMS) as a tenure-track Assistant Professor in Fall 2026. He received Ph.D. degree from the MIT Operations Research Center (ORC). He has had research experience at JPMorgan Chase AI Research and at Fudan University.
Research
Zikai Xiong's current research interests are mainly in optimization, with twin interests in theoretical foundations and computational practice. His research up to now has involved enhancing the scalability of optimization algorithms for solving large-scale linear and convex optimization -- both generically as well as on specific applications. His overarching aspiration is to extend the capability of modern optimization methods to effectively solve problems arising in operations research, data science, and machine learning/AI.
Representative Publications
- Z. Lin, Z. Xiong, D. Ge, Y. Ye, “PDCS: A Primal-Dual Large-Scale Conic Programming Solver with GPU Enhancements,” submitted.
- Z. Xiong, “High-Probability Polynomial-Time Complexity of Restarted PDHG for Linear Programming,” under revision.
- Z. Xiong, “Accessible Complexity Bounds for Restarted PDHG on Linear Programs with a Unique Optimizer,” under revision.
- J. Guo*, B. Jiang*, Z. Xiong*, N. Zhang*, “Two Sides of "Hidden City Ticketing': Analysis of a Choice-Based Network Revenue Management Model,” submitted.