Zhonglin Xie

Welcome to my personal homepage! I am a fourth-year Ph.D. student at the Beijing International Center for Mathematical Research, Peking University, under the guidance of Prof. Zaiwen Wen. I am 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; Innovative MoE Architectures: designing orthogonal MoE structures that balance computational efficiency with model capacity, enabling better scalability for large-scale models; 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.