Shaoxun Zeng

Shaoxun Zeng

WeLM team, Tencent

Email: 838492657@qq.com

Google Scholar

About Me

I am currently working in the WeLM team at Tencent, where I am advancing systems for LLM training, inference, and reinforcement learning. I received my Ph.D. from Tsinghua University in 2026, supervised by Prof. Youyou Lu and Prof. Jiwu Shu.

My research focuses on system optimizations for LLMs, particularly on infrastructure scaling, resource efficiency, and full-stack co-design. If you are interested in democratizing access to state-of-the-art AI for billions of users and conducting cutting-edge research, join us.

Education

Education:

  • Ph.D. in Computer Science, Tsinghua University, 2021–2026
  • Summer School, University of California, Berkeley, Summer 2019
  • B.S. in Software Engineering, Nanjing University, 2017–2021

Publications

2026

2025

2024

2023

Honors Awarded

  • FAST'26 Distinguished Artifact Award, 2026.
  • No.1 in the ASPLOS / EuroSys 2025 Contest of LLM inference optimization, 2025.
  • Student Travel Grant for ASPLOS'25/EuroSys'25, 2025.
  • No.1 in the IO500 Research Overall Score (SuperFS), ISC'23/SC'23/ISC'24/SC'24/ISC'25/SC'25, 2023-2025.