Wenxin Jiang

Wenxin Jiang is a researcher in the Department of Computer Science at Purdue University specializing in pre-trained models and software engineering. His work focuses on the analysis and reuse of pre-trained models in open-source ecosystems.

Research interests include:

• Machine Learning
• Deep Learning
• Software Engineering
• Pre-trained Models
• Model Registries
• Artificial Intelligence

Recent publications reveal a concentrated effort on creating datasets (PTMTorrent, PeaTMOSS) and analyzing security risks in pre-trained model supply chains. His research trajectory shows increasing focus on the intersection of deep learning and software engineering practices, particularly regarding model reuse from registries like Hugging Face.

Wenxin Jiang frequently collaborates with researchers from Loyola University Chicago, especially Nicholas Synovic and George K. Thiruvathukal, indicating strong cross-institutional partnerships in this emerging research area.

His work has established important methodologies for analyzing pre-trained model ecosystems, contributing significantly to understanding how software engineers interact with model registries and addressing security concerns in model supply chains.