VIP student makes significant contributions to conference paper, PeaTMOSS
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: