Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network. - Kun Zhu 024; Nana Zhang; Shi Ying 002; Dandan Zhu 001 (IET Softw., 2020)

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation. - Nana Zhang; Shi Ying 002; Weiping Ding 001; Kun Zhu 024; Dandan Zhu 001 (Inf. Sci., 2021)

Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network. - Kun Zhu 024; Shi Ying 002; Nana Zhang; Dandan Zhu 001 (J. Syst. Softw., 2021)

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine. - Nana Zhang; Shi Ying 002; Kun Zhu 024; Dandan Zhu 001 (IET Softw., 2022)

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning. - Kun Zhu 024; Shi Ying 002; Weiping Ding 001; Nana Zhang; Dandan Zhu 001 (Inf. Sci., 2022)