| Better data labelling with emblem (and how that impacts defect prediction) H Tu, Z Yu, T Menzies IEEE Transactions on Software Engineering 48 (1), 278-294, 2020 | 47 | 2020 |
| Identifying self-admitted technical debts with jitterbug: A two-step approach Z Yu, FM Fahid, H Tu, T Menzies IEEE Transactions on Software Engineering 48 (5), 1676-1691, 2020 | 38 | 2020 |
| FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics H Tu, T Menzies 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 19 | 2021 |
| Is one hyperparameter optimizer enough? H Tu, V Nair Proceedings of the 4th ACM SIGSOFT International Workshop on Software …, 2018 | 18 | 2018 |
| Mining Workflows for Anomalous Data Transfers H Tu, G Papadimitriou, M Kiran, C Wang, A Mandal, E Deelman, ... IEEE/ACM International Conference on Mining Software Repositories (MSR) 18, 2021 | 14 | 2021 |
| DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning H Tu, T Menzies Empirical Software Engineering 27 (4), 1-37, 2022 | 11 | 2022 |
| While tuning is good, no tuner is best H Tu, V Nair ROSE Festival 2018, 2018 | 11 | 2018 |
| How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs R Yedida, HJ Kang, H Tu, X Yang, D Lo, T Menzies IEEE Transactions on Software Engineering, 2023 | 9 | 2023 |
| Fair-SSL: Building fair ML Software with less data J Chakraborty, H Tu, S Majumder International Workshop on Equitable Data and Technology (FairWare ’22 ), 2022 | 8 | 2022 |
| Can We Achieve Fairness Using Semi-Supervised Learning? J Chakraborty, H Tu, S Majumder, T Menzies arXiv preprint arXiv:2111.02038, 2021 | 8 | 2021 |
| The Changing Nature of Computational Science Software H Tu, R Agrawal, T Menzies arXiv preprint arXiv:2003.05922, 2020 | 8 | 2020 |
| Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms N Dennler, A Ovalle, A Singh, L Soldaini, A Subramonian, H Tu, W Agnew, ... Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 375-386, 2023 | 3 | 2023 |
| Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning) R Shu, T Xia, H Tu, L Williams, T Menzies arXiv preprint arXiv:2205.00665, 2022 | 3 | 2022 |
| Can You Explain That, Better? Comprehensible Text Analytics for SE Applications A Agrawal, H Tu, T Menzies arXiv preprint arXiv:1804.10657, 2018 | 2 | 2018 |
| Leveraging Multilingual Neural Language Models for On-Device Natural Language Understanding H Tu, S Choudhary, H Saghir, R McGowan International World Wide Web Conference, 2021 | 1 | 2021 |
| Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics H Tu, T Menzies arXiv preprint arXiv:2302.01997, 2023 | | 2023 |
| How to find actionable static analysis warnings: A case study with FindBugs.(2023) R YEDIDA, HJ KANG, H TU, X YANG, D LO, T MENZIES IEEE Transactions on Software Engineering, 1-17, 0 | | |
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE FellowVerified email at ncsu.edu
