Rao, N., Tsay, J., Kate, K., Hellendoorn, V., & Hirzel, M. (2024). AI for Low-Code for AI. Intelligent User Interfaces Conference.
Tsay, J., Braz, A., Hirzel, M., Shinnar, A., & Mummert, T. (2022). Extracting enhanced artificial intelligence model metadata from software repositories. Empirical Software Engineering, 27(7).
Tsay, J., Braz, A., Hirzel, M., Shinnar, A., Mummert, T. (2020). AIMMX: Artificial Intelligence Model Metadata Extractor. Mining Software Repositories Conference.
Tsay, J., Mummert, T., Bobroff, N., Braz, A., Westerink, P., Hirzel, M. (2018). Runway: Machine Learning Model Experiment Management Tool. SysML Conference.
Tsay, J., Dabbish, L., & Herbsleb, J. (2014). Let's Talk About It: Evaluating Contributions through Discussion in GitHub. FSE.
Tsay, J., Dabbish, L., & Herbsleb, J. (2014). Influence of Social and Technical Factors for Evaluating Contribution in GitHub. ICSE.
Tsay, J., Dabbish, L., & Herbsleb, J.D. (2013). Social media in transparent work environments. CHASE Workshop.
Dabbish, L., Stuart, C., Tsay, J., & Herbsleb, J. (2012). Social coding in GitHub: transparency and collaboration in an open software repository. CSCW.