Zhonglin Xie

Welcome to my personal homepage! I am a researcher at ByteDance Seed. I received my Ph.D. in June 2026 from the Beijing International Center for Mathematical Research, Peking University, under the guidance of Prof. Zaiwen Wen, where I was a member of the Elite Ph.D. Program in Applied Mathematics.

My work centers around Reinforcement Learning for LLMs: developing more efficient RL algorithms and improving post-training accuracy to enhance model performance; Theoretical Analysis and Algorithm Design: leveraging Ordinary Differential Equations (ODEs) to analyze and design optimization algorithms; and Learning to Optimize (L2O): exploring how machine learning techniques can significantly improve algorithm performance for specific problem classes, particularly in industrial settings.

I received my bachelor’s degree in 2021 from the School of Mathematical Sciences at Peking University, majoring in computational mathematics. During my undergraduate studies, I was also a member of the Elite Program of Applied Mathematics and Statistics for Undergraduates. Additionally, I earned a second bachelor’s degree in economics from the National School of Development between 2018 and 2021.