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Hao Li
Hao Li
在 ualberta.ca 的电子邮件经过验证 - 首页
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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
72022
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
22024
Studying popular open source machine learning libraries and their cross-ecosystem bindings
H Li, CP Bezemer
arXiv preprint arXiv:2201.07201, 2022
22022
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
H Li, GK Rajbahadur, CP Bezemer
arXiv preprint arXiv:2407.05466, 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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