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Career

· Graduate Student, San Jose State University2025–2028
· PhD Student, University of California, Berkeley2021–
· Research Assistant, University of California, Berkeley2016–

Publications (18)

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)
IEEE Transactions on Software Engineering · 2019
48
cited
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach
IEEE Transactions on Software Engineering · 2020
43
cited
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
AAAI/ACM Conference on AI, Ethics, and Society · 2023
22
cited
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs
IEEE Transactions on Software Engineering · 2022
18
cited
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics
International Conference on Automated Software Engineering · 2021
17
cited
Is one hyperparameter optimizer enough?
SWAN@ESEC/SIGSOFT FSE · 2018
16
cited
Mining Workflows for Anomalous Data Transfers
IEEE Working Conference on Mining Software Repositories · 2021
15
cited
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning
Empirical Software Engineering · 2022
13
cited
While Tuning is Good, No Tuner is Best
arXiv.org · 2018
10
cited
Can We Achieve Fairness Using Semi-Supervised Learning?
arXiv.org · 2021
8
cited
Fair-SSL: Building fair ML Software with less data
2022 IEEE/ACM International Workshop on Equitable Data & Technology (FairWare) · 2021
8
cited
FRUGAL: Unlocking SSL for Software Analytics
arXiv.org · 2021
8
cited
The Changing Nature of Computational Science Software
arXiv.org · 2020
6
cited
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications
arXiv.org · 2018
1
cited
Enhanced Labeling of Issue Reports (with F3T)
arXiv.org · 2019
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics
arXiv.org · 2023
Mining Scientific Workflows for Anomalous Data Transfers
arXiv.org · 2021
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
arXiv.org · 2022
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Huy Tu | Researcher Profile | Sotabase | Sotabase