Welcome!

Hello! My name is Zongjun Yang (Chinese: 杨宗骏). I am a 2nd year PhD student at Industrial Engineering & Operations Research (IEOR), Columbia University.

My primary interest is algorithmic game theory, with a focus on ad auctions, market equilibria, fair allocation and online learning. I am very fortunate to be advised by Prof. Christian Kroer. Prior to joining Columbia, I received my bachelor’s degree in computer science at Peking University, where I worked with Prof. Xiaotie Deng and Prof. Yuqing Kong on ad auctions and algorithmic game theory.

News

• 2026.06 I’ll be working as a Student Researcher at Google NYC Algorithms and Optimization during Summer 2026, hosted by Yifeng Teng.
• 2026.05 Our work “Online Generalized-Mean Welfare Maximization: Achieving Near-Optimal Regret from Samples” is accepted at EC 2026!
• 2026.05 Our work “Competitive Equilibrium in Labor Economies through the Lens of Goods and Chores Fisher Markets” is accepted at EC 2026!
• 2026.01 Happy to work as the teaching assistant for IEOR4010: AI in Operations Research & Financial Engineering in the Spring 2026 semester!
• 2025.10 I’ll be presenting two working papers on online fair allocaiton at INFORMS 2026 at Atlanta!
• 2025.01 Our work “Learning against Non-Credible Second-Price Auctions” is accepted at The Web Conference (WWW) 2025!
• 2024.12 Our work “Online Fair Allocation with Best-of-Many-Worlds Guarantees” is under major revision at Management Science!

Research Papers

A list of publications can be found here, or at Google Scholar.