Shengyu Feng
I am a third-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.
I am generally interested in applying machine learning to math problem solving, particularly in combinatorial optimization. The methods I focus on include statistical sampling, reinforcement learning, and Large Language Model reasoning.
Education
- Ph.D. in Language and Information Technologies, Carnegie Mellon University, Aug. 2022 - Present
- Advisor: Yiming Yang
- M.S. in Computer Science, University of Illinois at Urbana-Champaign, Aug. 2020 - May 2022
- Advisor: Hanghang Tong
- B.S.E in Computer Science, University of Michigan, Aug. 2018 - May 2020
- B.S. in Electrical and Computer Engineering, Shanghai Jiao Tong University, Sep. 2016 - Aug. 2020
Work experience
Apple AIML, May 2024 - Aug. 2024
Microsoft Research, May 2022 - Aug. 2022
Intel AI Lab, May 2021 - Aug. 2021
Service
- Reviewer for NeurIPS, ICLR and ICML