Qunhong Zeng

Beijing, China
I am a second-year graduate student at the School of Computer Science and Technology at Beijing Institute of Technology, advised by Prof. Yuxia Zhang. Prior to this, I received my B.S. degree in Computer Science from the same university in 2023.
My research primarily focuses on the application of LLMs to SE fields. Recently, I have concentrated on reinforcement learning (RL) approaches to enhance LLMs’ reasoning capabilities, with the goal of improving their performance on automatic SE tasks such as code generation.
I am also interested in MLSys and enjoy building scalable systems. I had several MLSys internships and recently I’ve been actively contributing to the verl community. I believe RL represents a critical pathway toward AGI and it’s an art of combining research and engineering.
Please feel free to reach out if you’re interested in having a discussion :)
Publications
Experiences
- ByteDance, MarsCode CodeAI Intern, 2024.10 - now
- Oneflow, Framework Intern, 2024.3 - 2024.9
- Momenta, HD-Map Backend Intern, 2022.9 - 2023.1
- ByteDance, AI-Lab Intern, 2021.12 - 2022.6