Huy Tu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Manifold Regularization

Graph Transduction

Labeled Examples

Supervised Learning

Top Venues

IEEE Trans. Software Eng.

Publications

Huy Tu, Tim Menzies
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics. CoRR (2023)
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)
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) (2023)
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 (2023)
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
How to Find Actionable Static Analysis Warnings. CoRR (2022)
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) (2022)
Huy Tu, Tim Menzies
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. Empir. Softw. Eng. 27 (4) (2022)
Huy Tu, Tim Menzies
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning. CoRR (2022)
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR (2022)
Joymallya Chakraborty, Suvodeep Majumder, Huy Tu
Fair-SSL: Building fair ML Software with less data. FairWare@ICSE (2022)
Huy Tu, Zhe Yu, Tim Menzies
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). IEEE Trans. Software Eng. 48 (2) (2022)
Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR (2021)
Huy Tu, Tim Menzies
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. ASE (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Scientific Workflows for Anomalous Data Transfers. CoRR (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Workflows for Anomalous Data Transfers. MSR (2021)
Huy Tu, Tim Menzies
FRUGAL: Unlocking SSL for Software Analytics. CoRR (2021)
Huy Tu, Rishabh Agrawal, Tim Menzies
The Changing Nature of Computational Science Software. CoRR (2020)
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach. CoRR (2020)
Huy Tu, Tim Menzies
T). CoRR (2019)
Huy Tu, Vivek Nair
While Tuning is Good, No Tuner is Best. CoRR (2018)
Huy Tu, Vivek Nair
Is one hyperparameter optimizer enough? SWAN@ESEC/SIGSOFT FSE (2018)
Amritanshu Agrawal, Huy Tu, Tim Menzies
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications. CoRR (2018)