Is one hyperparameter optimizer enough? - Huy Tu; Vivek Nair (SWAN@ESEC/SIGSOFT FSE, 2018)

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications. - Amritanshu Agrawal; Huy Tu; Tim Menzies (CoRR, 2018)

While Tuning is Good, No Tuner is Best. - Huy Tu; Vivek Nair (CoRR, 2018)

Enhanced Labeling of Issue Reports (with F3T). - Huy Tu; Tim Menzies (CoRR, 2019)

The Changing Nature of Computational Science Software. - Huy Tu; Rishabh Agrawal; Tim Menzies (CoRR, 2020)

FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. - Huy Tu; Tim Menzies (ASE, 2021)

Mining Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (MSR, 2021)

Mining Scientific Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (CoRR, 2021)

FRUGAL: Unlocking SSL for Software Analytics. - Huy Tu; Tim Menzies (CoRR, 2021)

Can We Achieve Fairness Using Semi-Supervised Learning? - Joymallya Chakraborty; Huy Tu; Suvodeep Majumder; Tim Menzies (CoRR, 2021)

Fair-SSL: Building fair ML Software with less data. - Joymallya Chakraborty; Suvodeep Majumder; Huy Tu (FairWare@ICSE, 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)

How to Find Actionable Static Analysis Warnings. - Rahul Yedida; Hong Jin Kang; Huy Tu; Xueqi Yang; David Lo 001; Tim Menzies (CoRR, 2022)

DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. - Huy Tu; Tim Menzies (Empir. Softw. Eng., 2022)

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). - Huy Tu; Zhe Yu 002; Tim Menzies (IEEE Trans. Software Eng., 2022)

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. - Zhe Yu 002; Fahmid Morshed Fahid; Huy Tu; Tim Menzies (IEEE Trans. Software Eng., 2022)

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; et al. (AIES, 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. - 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; et al. (CoRR, 2023)

How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. - Rahul Yedida; Hong Jin Kang; Huy Tu; Xueqi Yang; David Lo 001; Tim Menzies (IEEE Trans. Software Eng., 2023)