Huy Tu

According to our database, Huy Tu authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs.

Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies

IEEE Trans. Software Eng., April, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

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

CoRR, 2023

Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics.

Huy Tu, Tim Menzies

CoRR, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

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

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.

Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies

IEEE Trans. Software Eng., 2022

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction).

Huy Tu, Zhe Yu, Tim Menzies

IEEE Trans. Software Eng., 2022

DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning.

Huy Tu, Tim Menzies

Empir. Softw. Eng., 2022

How to Find Actionable Static Analysis Warnings.

Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies

CoRR, 2022

Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning).

Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies

CoRR, 2022

Fair-SSL: Building fair ML Software with less data.

Joymallya Chakraborty, Suvodeep Majumder, Huy Tu

Proceedings of the 2nd IEEE/ACM International Workshop on Equitable Data & Technology, 2022

2021

Can We Achieve Fairness Using Semi-Supervised Learning?

Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies

CoRR, 2021

FRUGAL: Unlocking SSL for Software Analytics.

Huy Tu, Tim Menzies

CoRR, 2021

Mining Scientific Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

CoRR, 2021

Mining Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics.

Huy Tu, Tim Menzies

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

The Changing Nature of Computational Science Software.

Huy Tu, Rishabh Agrawal, Tim Menzies

CoRR, 2020

2019

Enhanced Labeling of Issue Reports (with F³T).

Huy Tu, Tim Menzies

CoRR, 2019

2018

While Tuning is Good, No Tuner is Best.

Huy Tu, Vivek Nair

CoRR, 2018

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.

Amritanshu Agrawal, Huy Tu, Tim Menzies

CoRR, 2018

Is one hyperparameter optimizer enough?

Huy Tu, Vivek Nair

Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics, 2018