VIP Student Makes Significant Contributions to Conference Paper, PeaTMOSS

VIP student, Jiashen (Shen) Kuo, completed his ECE Senior Design project with the Pre-Trained Models in Deep Learning team led by Prof. Jamie Davis. Shen's project was a tool to automatically extract data from pre-trained model data cards in order to build an indexed dataset for future study. Shen's work was included in a conference paper for Mining Software Repositories 2024!

VIP student, Jiashen “Shen” Kuo, completed his ECE Senior Design project with the Pre-Trained Models in Deep Learning team led by Prof. Jamie Davis. Shen's project was a tool to automatically extract data from pre-trained model data cards in order to build an indexed dataset for future study. This project comprised 2 pages out of a 10-page+references paper Prof. Davis's lab will present at Mining Software Repositories 2024, a “Core A” conference viewed as a good specialized venue in the area of software engineering. The paper was from a three-institution collaboration. Shen’s contribution to the work was specific, substantial, and valuable. The citation is below:

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. Jiang, Yasmin, Jones, Synovic, Kuo, Bielanski, Tian, Thiruvathukal, and Davis.  Proceedings of the 21st Annual Conference on Mining Software Repositories (MSR’24) 2024. 10 pages. (https://arxiv.org/pdf/2402.00699.pdf)

 

Pictured is Shen's tool that he developed for the project: