About Me
I will join the Department of Industrial Engineering & Management Sciences (IEMS) at Northwestern University as a PhD student in Fall 2026.
I received my Bachelor’s degree from Shanghai University of Finance and Economics (2021.9 - 2025.6), in the Pilot Class of Interdisciplinary Sciences.
📚 My Research
My research interests include Optimization, Artificial Intelligence (AI), and the interdisciplinary area between Operations Research and Machine Learning.
Currently, I am particularly focused on:
- Developing optimization-based algorithmic frameworks to enhance the training and inference efficiency of large language models (LLMs)
- Accelerating classical optimization methods by leveraging AI techniques that learn from historical data
- Designing and implementing efficient optimization algorithms for large-scale problems, with a particular focus on GPU-accelerated methods
Recent Publications
(2026).
PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QP.
arXiv.
(2026).
D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems.
arXiv.
(2025).
BenLOC: A Benchmark for Learning to Configure MIP Optimizers.
arXiv.