I’m a Ph.D. Candidate in Computer Software and Theory at School of Computer Science, Peking University, advised by Minghui Zhou at Open Source Software Data Analytics Lab, Software Engineering Institute. Before that, I received my Bachelor’s Degree in Information Security at Harbin Institute of Technology in 2023.

My research interests lie in open-source software (OSS) supply chain, OSS risk governance, empirical software engineering, and GenAI governance. Feel free to reach out at yangwh@stu.pku.edu.cn!

🔥 News

• 2026.08.07: Invited talk “To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions” at Community Over Code Asia 2026 in Beijing.
• 2026.07: Our new Preprint “A First Look at Coding Agents’ Compliance with AI Contribution Rules in Open-Source Communities” is now available on arXiv. [arXiv]
• 2026.07: Our new Preprint “From Collaboration to Regulation: Characterizing Governance Practice in Three Deep Learning Open Source Communities” is now available on arXiv. [arXiv]
• 2026.07: Our new Preprint “AI Cannot Review What Humans Catch: An Empirical Study of Agent Instruction File Review” is now available. [PDF]
• 2026.07: Our new Preprint “File-Level Copying Is an Implicit Dependency in Open Source” is now available on arXiv. [arXiv]
• 2026.06: 🎉 Our paper “To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions” has been accepted to ASE 2026! (CCF-A) [arXiv]
• 2026.03: Our new Preprint “To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions” is now available on arXiv. [arXiv]
• 2025.11: Invited talk “Building an Enterprise Open Source Risk Governance Immune System” at CCF ChinaSoft 2025, Wuhan.
• 2025.10: Our new Preprint “Internal Vulnerabilities, External Threats: A Grounded Framework for Enterprise Open Source Risk Governance” is now available on arXiv. [arXiv]
• 2024.04: Our paper “PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages” is accepted by FSE 2024.

📝 Publications

• arXiv “A First Look at Coding Agents’ Compliance with AI Contribution Rules in Open-Source Communities”, Wenhao Yang, Runzhi He, Minghui Zhou.
• arXiv “From Collaboration to Regulation: Characterizing Governance Practice in Three Deep Learning Open Source Communities”, Ruiqiao Qiu, Wenhao Yang, Minghui Zhou.
• Preprint 2026 “AI Cannot Review What Humans Catch: An Empirical Study of Agent Instruction File Review”, Wenhao Yang, Runzhi He, Minghui Zhou.
• arXiv “File-Level Copying Is an Implicit Dependency in Open Source”, Runzhi He, Audris Mockus, Wenhao Yang, Minghui Zhou.
• ASE 2026 “To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions”, Wenhao Yang, Runzhi He, Minghui Zhou. (CCF-A)
• arXiv “Internal Vulnerabilities, External Threats: A Grounded Framework for Enterprise Open Source Risk Governance”, Wenhao Yang, Minghui Zhou, Daniel Izquierdo Cortázar, Yehui Wang. (CCF-A) (Major Revision at TOSEM)
• FSE 2024 “PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages”, Kai Gao, Weiwei Xu, Wenhao Yang, Minghui Zhou. (CCF-A)

💬 Invited Talks

• 2026.08, “To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions”, Community Over Code Asia 2026, Beijing.
• 2025.11, “Building an Enterprise Open Source Risk Governance Immune System”, CCF ChinaSoft 2025, Wuhan.

📖 Educations

• 2023.09 - 2028.06 (expected), Ph.D. Candidate in Computer Software and Theory, Peking University. Advisor: Minghui Zhou.
• 2019.09 - 2023.06, B.S. in Information Security, Harbin Institute of Technology. GPA: 93.53/100, Rank: top 2%.

🎖 Honors and Awards

• 2023, The First Prize of People’s Scholarship, Harbin Institute of Technology (Top 3%)
• 2022, Outstanding Student, Harbin Institute of Technology
• 2022, The First Prize of People’s Scholarship, Harbin Institute of Technology (Top 3%)
• 2020, Outstanding Student, Harbin Institute of Technology
• 2020, The First Prize of People’s Scholarship, Harbin Institute of Technology (Top 3%)

💻 Teaching Experience

• 2024 Spring, Teaching Assistant, Quantitative Analysis on Open Source Software (Graduate-level, in English), Peking University.

🔧 Skills

• Programming: Java, Python, C, Linux, Rust

🎸 Hobbies

• Fitness, Singing, Playing the guitar, Watching movies