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.

Currently, I am interning at Baidu’s LLM Alignment Team, working on enhancing the mathematical reasoning capabilities of ERNIE X1 (Wenxin Yiyan X1) using reinforcement learning with verifiable rewards. 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.