arXiv
Optimization & Machine Learning
Hongpei Li
First-year PhD studentNorthwestern IEMS
I am a first-year PhD student in the Department of Industrial Engineering & Management Sciences (IEMS) at Northwestern University.
I received my Bachelor’s degree from Shanghai University of Finance and Economics (September 2021 – June 2025), where I was advised by Prof. Yinyu Ye and Prof. Dongdong Ge.
Research interests: Large-Scale Optimization, GPU-Accelerated Algorithms, LLM Systems, and AI for Optimization.
Areas of focus
Research
My interests lie in optimization, artificial intelligence, and the intersection of operations research and machine learning.
Optimization for AI
Developing optimization-based algorithmic frameworks to enhance the training and inference efficiency of large language models (LLMs).
AI for Optimization
Accelerating classical optimization methods with AI techniques that learn from historical data.
GPU-Accelerated Optimization
Designing and implementing efficient algorithms for large-scale optimization, with a particular focus on GPU-accelerated methods.
Latest work
Recent research
arXiv
arXiv
Equal contribution (co-first authors).
arXiv
arXiv