Posts tagged EMSE

PTM Naming: Why “What’s in a Name” Actually Matters for AI Reuse

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.

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Deep Learning Model Reengineering: Challenges and Practices (EMSE 2024)

This paper was led by Wenxin Jiang (Purdue University, working with James C. Davis), with contributions from Vishnu Banna, Nikhil Vivek, Aditya Goel, and Nicholas Synovic. I am one of the key leaders of this research project. The work appeared in the Empirical Software Engineering journal.

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