Hengzhi Ye
hzye at stu dot pku dot edu dot cn

I am currently a second-year Ph.D. Student in Computer Science at Peking University, advised by Prof. Minghui Zhou. Before this, I graduated from Tsinghua University in June 2024 and earned my Bachelor's degree in Automatic Science.

My research interest sits at the intersection of Human-AI Interaction, Human-Centered Computing, and Software Engineering. I am dedicated to understanding and optimizing human experiences and collaborative productivity within AI-augmented systems. Additionally, I'm motivated to look into how AI technologies reshape social structures, human interactions, and digital landscapes, exploring the broader impact of these systems on our society.

I'm open to collaboration and discussion on topics related to my research interests. Feel free to reach out to me via email.

CV / Google Scholar / Github

News

Education

Selected Researches

Project thumbnail Small Changes, Big Trouble: Demystifying and Parsing License Variants for Incompatibility Detection in the PyPI Ecosystem

Weiwei Xu, Hengzhi Ye, Kai Gao, Minghui Zhou
The the 48th IEEE/ACM International Conference on Software Engineering (ICSE'26)
Paper  •   Code


TL;DR: Understanding the phenomenon of license variants in the PyPI ecosystem and proposing a novel diff-based method to detect license incompatibility.

Project thumbnail Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers

Cailean Osborne, Farbod Daneshyan, Runzhi He, Hengzhi Ye, Yuxia Zhang, Minghui Zhou
The 28th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW'25)
Paper  •   Code


TL;DR: Understanding the Inter-Cooperation in Company-hosted OSS Projects through empirical study on PyTorch, TensorFlow, and Transformers.

See more publications on Google Scholar.

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