Kun Zhu 0009 - researchr alias

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Viewing Publication 1 - 6 from 6

2022

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learningKun Zhu 0009, Shi Ying, Weiping Ding 0001, Nana Zhang, Dandan Zhu. isci, 583:332-363, 2022. [doi]

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machineNana Zhang, Shi Ying, Kun Zhu 0009, Dandan Zhu. iet-sen, 16(1):29-47, 2022. [doi]

2021

Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural networkKun Zhu 0009, Shi Ying, Nana Zhang, Dandan Zhu. jss, 180:111026, 2021. [doi]

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representationNana Zhang, Shi Ying, Weiping Ding 0001, Kun Zhu 0009, Dandan Zhu. isci, 570:545-576, 2021. [doi]

2020

Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural networkKun Zhu 0009, Nana Zhang, Shi Ying, Dandan Zhu. iet-sen, 14(3):185-195, 2020. [doi]

2017

一种基于MapReduce模型的高效频繁项集挖掘算法 (Efficient Frequent Patterns Mining Algorithm Based on MapReduce Model)Kun Zhu 0009, Ruizhang Huang, Nana Zhang. jsjkx, 44(7):31-37, 2017. [doi]

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