Huy Tu

22 papers A* 1A 1C 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2023 C conf
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.
AIES
Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal
2023 J jnl
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.
CoRR
Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal
2023 J jnl
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs.
IEEE Trans. Software Eng.
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2023 J jnl
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics.
CoRR
Huy Tu, Tim Menzies
2022 J jnl
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction).
IEEE Trans. Software Eng.
Huy Tu, Zhe Yu, Tim Menzies
2022 J jnl
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning.
CoRR
Huy Tu, Tim Menzies
2022 J jnl
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning.
Empir. Softw. Eng.
Huy Tu, Tim Menzies
2022 — conf
Fair-SSL: Building fair ML Software with less data.
FairWare@ICSE
Joymallya Chakraborty, Suvodeep Majumder, Huy Tu
2022 J jnl
How to Find Actionable Static Analysis Warnings.
CoRR
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2022 J jnl
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.
IEEE Trans. Software Eng.
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2022 J jnl
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning).
CoRR
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
2021 J jnl
Can We Achieve Fairness Using Semi-Supervised Learning?
CoRR
Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies
2021 J jnl
FRUGAL: Unlocking SSL for Software Analytics.
CoRR
Huy Tu, Tim Menzies
2021 A* conf
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics.
ASE
Huy Tu, Tim Menzies
2021 J jnl
Mining Scientific Workflows for Anomalous Data Transfers.
CoRR
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021 A conf
Mining Workflows for Anomalous Data Transfers.
MSR
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2020 J jnl
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach.
CoRR
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2020 J jnl
The Changing Nature of Computational Science Software.
CoRR
Huy Tu, Rishabh Agrawal, Tim Menzies
2019 J jnl
Enhanced Labeling of Issue Reports (with F
CoRR
Huy Tu, Tim Menzies
2018 J jnl
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.
CoRR
Amritanshu Agrawal, Huy Tu, Tim Menzies
2018 — conf
Is one hyperparameter optimizer enough?
SWAN@ESEC/SIGSOFT FSE
Huy Tu, Vivek Nair
2018 J jnl
While Tuning is Good, No Tuner is Best.
CoRR
Huy Tu, Vivek Nair