Posts tagged Pre-Trained Models
PTM Naming: Why “What’s in a Name” Actually Matters for AI Reuse
- 27 December 2025
I’m thrilled to share some recent work led by Wenxin Jiang, a PhD student at Purdue University. Wenxin is supervised by James C. Davis, and I have had the pleasure of serving as a key external supervisor and PhD committee member on this project as part of my ongoing collaboration with Dr. Davis. This research was recently accepted for publication in Journal of Empirical Software Engineering and it tackles a problem that anyone working in AI has likely grumbled about: how we name our models.
What Do We Know About Hugging Face? A Systematic Literature Review (ESEM 2024)
- 24 October 2024
This paper was led by Jason Jones and Wenxin Jiang (Purdue University, working with James C. Davis). I am one of the key leaders of this research project and contributed to the analysis and synthesis. The work appeared at ESEM 2024 (ACM/IEEE International Symposium on Empirical Software Engineering and Measurement).
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software (MSR 2024)
- 15 April 2024
This paper was led by Wenxin Jiang (Purdue University, working with James C. Davis). I am one of the key leaders of this research project and contributed to its design and analysis. The work appeared at MSR 2024 (International Conference on Mining Software Repositories).
Pre-Trained Model Reuse in Hugging Face: An Empirical Study (ICSE 2023)
- 14 May 2023
This paper was led by Wenxin Jiang, a PhD student at Purdue University working with James C. Davis. I am one of the key leaders of this research project, contributing to the study design, analysis, and framing. The work appeared at ICSE 2023, the flagship conference in software engineering.