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Hao Li
Hao Li
Postdoc at SAIL lab, Queen's University
Verified email at queensu.ca - Homepage
Title
Cited by
Cited by
Year
An empirical study of yanked releases in the rust package registry
H Li, FR Cogo, CP Bezemer
IEEE Transactions on Software Engineering 49 (1), 437-449, 2022
112022
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
H Li, GK Rajbahadur, D Lin, CP Bezemer, ZM Jiang
IEEE Access, 2024
92024
Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems
H Li, CP Bezemer
Empirical Software Engineering 30 (1), 6, 2025
3*2025
Studying the impact of tensorflow and pytorch bindings on machine learning software quality
H Li, GK Rajbahadur, CP Bezemer
ACM Transactions on Software Engineering and Methodology, 2024
22024
Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models
H Li, CP Bezemer, AE Hassan
arXiv preprint arXiv:2410.09012, 2024
2024
Systems, methods, and non-transitory computer-readable storage devices for training deep learning and neural network models using overfitting detection and prevention
H Li, GK Rajbahadur, D Lin, Z Jiang
US Patent App. 18/384,634, 2024
2024
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