| Heterogeneous Defect Prediction LT Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies IEEE Transactions on Software Engineering, 2018 | 568* | 2018 |
| What is wrong with topic modeling? And how to fix it using search-based software engineering A Agrawal, W Fu, T Menzies Information and Software Technology 98, 74-88, 2018 | 274 | 2018 |
| Tuning for software analytics: Is it really necessary? W Fu, T Menzies, X Shen Information and Software Technology 76, 135-146, 2016 | 241 | 2016 |
| Easy over hard: A case study on deep learning W Fu, T Menzies Proceedings of the 2017 11th joint meeting on foundations of software …, 2017 | 232 | 2017 |
| Revisiting unsupervised learning for defect prediction W Fu, T Menzies Proceedings of the 2017 11th joint meeting on foundations of software …, 2017 | 163 | 2017 |
| Too much automation? The bellwether effect and its implications for transfer learning R Krishna, T Menzies, W Fu Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016 | 77 | 2016 |
| 500+ times faster than deep learning:(a case study exploring faster methods for text mining stackoverflow) T Menzies, S Majumder, N Balaji, K Brey, W Fu 2018 IEEE/ACM 15th International Conference on Mining Software Repositories …, 2018 | 75* | 2018 |
| Why is differential evolution better than grid search for tuning defect predictors? W Fu, V Nair, T Menzies arXiv preprint arXiv:1609.02613, 2016 | 61 | 2016 |
| How to “dodge” complex software analytics A Agrawal, W Fu, D Chen, X Shen, T Menzies IEEE Transactions on Software Engineering 47 (10), 2182-2194, 2019 | 60 | 2019 |
| Applications of psychological science for actionable analytics D Chen, W Fu, R Krishna, T Menzies Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 47 | 2018 |
| Data-driven search-based software engineering V Nair, A Agrawal, J Chen, W Fu, G Mathew, T Menzies, L Minku, ... 2018 IEEE/ACM 15th international conference on mining software repositories …, 2018 | 28 | 2018 |
| Robust null-space based interference avoiding scheme for D2D communication underlaying cellular networks W Fu, R Yao, F Gao, JCF Li, M Lei 2013 IEEE Wireless Communications and Networking Conference (WCNC), 4158-4162, 2013 | 21 | 2013 |
| Predicting project health for open source projects (using the DECART hyperparameter optimizer) T Xia, W Fu, R Shu, T Menzies arXiv preprint arXiv:2006.07240, 2020 | 13 | 2020 |
| Predicting health indicators for open source projects (using hyperparameter optimization) T Xia, W Fu, R Shu, R Agrawal, T Menzies Empirical Software Engineering 27 (6), 1-31, 2022 | 9 | 2022 |
| Building better quality predictors using” ϵ− dominance” W Fu, T Menzies, D Chen, A Agrawal arXiv preprint arXiv:1803.04608, 2018 | 5 | 2018 |
| Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors? CoRR abs/1609.02613 (2016) W Fu, V Nair, T Menzies arXiv preprint arXiv:1609.02613, 2016 | 3 | 2016 |
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE Fellow在 ncsu.edu 的电子邮件经过验证
