Huy Tu
Cited by
Cited by
Better data labelling with emblem (and how that impacts defect prediction)
H Tu, Z Yu, T Menzies
IEEE Transactions on Software Engineering 48 (1), 278-294, 2020
Identifying self-admitted technical debts with jitterbug: A two-step approach
Z Yu, FM Fahid, H Tu, T Menzies
IEEE Transactions on Software Engineering 48 (5), 1676-1691, 2020
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics
H Tu, T Menzies
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
Is one hyperparameter optimizer enough?
H Tu, V Nair
Proceedings of the 4th ACM SIGSOFT International Workshop on Software …, 2018
Mining Workflows for Anomalous Data Transfers
H Tu, G Papadimitriou, M Kiran, C Wang, A Mandal, E Deelman, ...
IEEE/ACM International Conference on Mining Software Repositories (MSR) 18, 2021
While tuning is good, no tuner is best
H Tu, V Nair
ROSE Festival 2018, 2018
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning
H Tu, T Menzies
Empirical Software Engineering 27 (4), 1-37, 2022
Fair-SSL: Building fair ML Software with less data
J Chakraborty, H Tu, S Majumder
International Workshop on Equitable Data and Technology (FairWare ’22 ), 2022
Can We Achieve Fairness Using Semi-Supervised Learning?
J Chakraborty, H Tu, S Majumder, T Menzies
arXiv preprint arXiv:2111.02038, 2021
The Changing Nature of Computational Science Software
H Tu, R Agrawal, T Menzies
arXiv preprint arXiv:2003.05922, 2020
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs
R Yedida, HJ Kang, H Tu, X Yang, D Lo, T Menzies
IEEE Transactions on Software Engineering, 2023
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
R Shu, T Xia, H Tu, L Williams, T Menzies
arXiv preprint arXiv:2205.00665, 2022
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications
A Agrawal, H Tu, T Menzies
arXiv preprint arXiv:1804.10657, 2018
Leveraging Multilingual Neural Language Models for On-Device Natural Language Understanding
H Tu, S Choudhary, H Saghir, R McGowan
International World Wide Web Conference, 2021
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics
H Tu, T Menzies
arXiv preprint arXiv:2302.01997, 2023
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