Shengyu Feng
I am a fourth-year Ph.D. student in Language Technologies Institute, Carnegie Mellon University. I am fortunately advised by Prof. Yiming Yang. Before that, I received my M.S. in Computer Science from University of Illinois at Urbana-Champaign in 2022, and B.S.E in Computer Science from University of Michigan and B.S in Electrical and Computer Engineering from Shanghai Jiao Tong University in 2020.
Curriculum Vitae (Last updated Oct. 2025)
Research Interest
My research focuses on the discrete generative models and combinatorial optimization, with application to text and graph data.
In addition, I am dedicated to advancing AI-for-Science by developing machine learning methods to enhance the efficiency of distributed computing systems used in high-energy physics experiments.
Selected Works
- Large Language Model: DWRL, TSMC4Math
- Combinatorial Optimization: FrontierCO, RLD4CO
- Distributed computing: AlterMILP