CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Zihan Zheng*, Zerui Cheng*, Zeyu Shen*, Shang Zhou*, Kaiyuan Liu*, Hansen He*, et al. (2025). "LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?." arXiv preprint arXiv:2506.11928.

Scaling LLM Inference with Optimized Sample Compute Allocation

Kexun Zhang*, Shang Zhou*, Danqing Wang, William Yang Wang, Lei Li. (2025). "Scaling LLM Inference with Optimized Sample Compute Allocation." In Proceedings of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs

Shang Zhou*, Feng Yao*, Chengyu Dong, Zihan Wang, Jingbo Shang. (2024). "Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs." In Findings of the Association for Computational Linguistics: ACL 2024.

Talks

Teaching

Service and leadership

• Currently signed in to 43 different slack teams