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2020 – today
- 2023
[j4]Rahul Yedida
, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies:
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. IEEE Trans. Software Eng. 49(4): 2856-2872 (2023)- [c5]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:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES 2023: 375-386 - [i13]Huy Tu, Tim Menzies:
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics. CoRR abs/2302.01997 (2023) - [i12]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:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. CoRR abs/2307.10223 (2023) - 2022
- [j3]Huy Tu, Tim Menzies:
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. Empir. Softw. Eng. 27(4): 80 (2022) - [j2]Huy Tu, Zhe Yu, Tim Menzies:
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). IEEE Trans. Software Eng. 48(2): 278-294 (2022) - [j1]Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies:
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. IEEE Trans. Software Eng. 48(5): 1676-1691 (2022) - [c4]Joymallya Chakraborty, Suvodeep Majumder, Huy Tu:
Fair-SSL: Building fair ML Software with less data. FairWare@ICSE 2022: 1-8 - [i11]Huy Tu, Tim Menzies:
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning. CoRR abs/2201.10592 (2022) - [i10]Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies:
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR abs/2205.00665 (2022) - [i9]Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies:
How to Find Actionable Static Analysis Warnings. CoRR abs/2205.10504 (2022) - 2021
- [c3]Huy Tu, Tim Menzies:
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. ASE 2021: 394-406 - [c2]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Workflows for Anomalous Data Transfers. MSR 2021: 1-12 - [i8]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Scientific Workflows for Anomalous Data Transfers. CoRR abs/2103.12221 (2021) - [i7]Huy Tu, Tim Menzies:
FRUGAL: Unlocking SSL for Software Analytics. CoRR abs/2108.09847 (2021) - [i6]Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies:
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR abs/2111.02038 (2021) - 2020
- [i5]Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies:
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach. CoRR abs/2002.11049 (2020) - [i4]Huy Tu, Rishabh Agrawal, Tim Menzies:
The Changing Nature of Computational Science Software. CoRR abs/2003.05922 (2020)
2010 – 2019
- 2019
- [i3]Huy Tu, Tim Menzies:
Enhanced Labeling of Issue Reports (with F3T). CoRR abs/1905.01719 (2019) - 2018
- [c1]Huy Tu, Vivek Nair:
Is one hyperparameter optimizer enough? SWAN@ESEC/SIGSOFT FSE 2018: 19-25 - [i2]Amritanshu Agrawal, Huy Tu, Tim Menzies:
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications. CoRR abs/1804.10657 (2018) - [i1]Huy Tu, Vivek Nair:
While Tuning is Good, No Tuner is Best. CoRR abs/1807.11112 (2018)
Coauthor Index
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