Tianpei Xia

Shu, R., Xia, T., Williams, L., & Menzies, T. (2022). Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 144–155. https://doi.org/10.1145/3524842.3528437

Majumder, S., Xia, T., Krishna, R., & Menzies, T. (2022). Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 566–578. https://doi.org/10.1145/3524842.3527934

Shu, R., Xia, T., Williams, L., & Menzies, T. (2022). Omni: automated ensemble with unexpected models against adversarial evasion attack. EMPIRICAL SOFTWARE ENGINEERING, 27(1). https://doi.org/10.1007/s10664-021-10064-8

Xia, T., Fu, W., Shu, R., Agrawal, R., & Menzies, T. (2022). Predicting health indicators for open source projects (using hyperparameter optimization). EMPIRICAL SOFTWARE ENGINEERING, 27(6). https://doi.org/10.1007/s10664-022-10171-0

Xia, T., Shu, R., Shen, X., & Menzies, T. (2022). Sequential Model Optimization for Software Effort Estimation. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(6), 1994–2009. https://doi.org/10.1109/TSE.2020.3047072

Shu, R., Xia, T., Chen, J., Williams, L., & Menzies, T. (2021). How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization). EMPIRICAL SOFTWARE ENGINEERING, 26(3). https://doi.org/10.1007/s10664-020-09906-8