张娜娜

女 计算机应用技术系 讲师

个人简介：

2022年6月获得武汉大学计算机科学与技术博士学位。自2022年8月起，在太阳集团tcy8722担任讲师，从事人工智能、软件仓库挖掘等方面的科研工作。目前已在国际知名期刊和国际重要会议上发表论文10余篇，授权国家发明专利1项，授权软件著作权7项，参与国家自然科学基金项目3项。担任Information Sciences、IET Software、Neurocomputing等SCI期刊的审稿人。

主要研究方向：

人工智能

软件仓库挖掘

进化计算

欢迎对该领域感兴趣的同学加入团队攻读硕士

讲授课程：

计算机网络

主要论文研究成果：

[1]Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu. Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine. IET Software, 2022, 16(1): 29–47. (CCF B类期刊)

[2]Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu. WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation. Information Sciences, 2021, 570: 545–576. (SCI 1区，IF=8.233，CCF B类期刊)

[3]Nana Zhang, Kun Zhu, Shi Ying, Xu Wang. Software defect prediction based on stacked contractive autoencoder and multi-objective optimization. CMC-Computers, Materials & Continua, 2020, 65(1): 279–308. (SCI期刊)

[4]Nana Zhang, Kun Zhu, Shi Ying, Xu Wang. KAEA: A novel three-stage ensemble model for software defect prediction. CMC-Computers, Materials & Continua, 2020, 64(1): 471–499. (SCI期刊)

[5]Nana Zhang, Yisong Wang, Kun Zhu. Design and Implementation of Full Text Search Engine Based on Lucene. In: DEStech Transactions on Computer Science and Engineering (CST), 2017.  

[6]Nana Zhang, Yisong Wang, Kun Zhu. Research and Implementation of Index Real-time Updating Based on Lucene. In: International Conference on Computer Engineering, Information Science & Application Technology (ICCIA), 2017.

[7]Kun Zhu, Shi Ying, Nana Zhang, Dandan Zhu. Software Defect Prediction Based on Enhanced Metaheuristic Feature Selection Optimization and A Hybrid Deep Neural Network. Journal of Systems and Software (JSS), 2021, 180: 111026. (CCF B类期刊，中科院二区)

[8]Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu. IVKMP: A Robust Data-driven Heterogeneous Defect Model Based on Deep Representation Optimization Learning. Information Sciences, 2022, 583: 332-363. (SCI 1区，IF=8.233，CCF B类期刊)

[9]Kun Zhu, Nana Zhang, Shi Ying, Dandan Zhu. Within-Project and Cross-Project Just-In-Time Defect Prediction Based on Denoising AutoEncoder and Convolutional Neural Network. IET Software, 2020, 14(3): 185-195. (CCF B类期刊)  

[10]Kun Zhu, Nana Zhang, Qing Zhang, Shi Ying, Xu Wang. Software Defect Prediction Based on Non-linear Manifold Learning and Hybrid Deep Learning Techniques. CMC-Computers, Materials & Continua, 2020, 65(2): 1467–1486.   (SCI期刊)

国家发明专利：

[1] 一种基于GBDT决策树的SaaS软件性能故障诊断方法，专利号: ZL201910247053.6，授权公告号: CN109918313B，国家知识产权局，已授权

软件著作权：

[1] 基于Lucene的全文检索引擎系统软件，证书号: 2171189，登记号:       

2017SR585905，国家版权局，已授权(一作)

[2] 教师师德师风网络知识竞赛系统 证书号: 1509814，登记号: 2016SR331197，

国家版权局，已授权(一作)

[3] 校园二手交易平台软件 证书号: 1509635，登记号: 2016SR331018，国家版权

局，已授权(一作)

[4] 网上购物系统，证书号: 1509778，登记号: 2016SR331161，国家版权局，已

授权(一作)

联系方式：

电子邮箱：nnzhang@dhu.edu.cn

地址：上海市松江区人民北路2999号太阳集团tcy87221号学院楼253室

邮政编码：201620

Biography:

In June 2022, she received the doctor's degree in computer science and technology from Wuhan University. Since August 2022, she has served as a lecturer in the School of Computer Science and Technology, Donghua University, engaging in scientific research in artificial intelligence, mining software repositories, etc. At present, she has published more than 10 papers in international well-known journals and important international conferences, authorized 1 national invention patent, 7 software copyrights, and participated in 3 NSFC projects. Moreover, she acts as the reviewers of some SCI journals, such as Information Sciences, IET Software, Neurocomputing.

Main research area:

Artificial Intelligence

Mining Software Repositories

Evolutionary Computing

Main courses:

Computer Network

Main Publications:

[1] Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu. Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine. IET Software, 2022, 16(1): 29–47.

[2] Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu. WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation. Information Sciences, 2021, 570: 545–576.

[3] Nana Zhang, Kun Zhu, Shi Ying, Xu Wang. Software defect prediction based on stacked contractive autoencoder and multi-objective optimization. CMC-Computers, Materials & Continua, 2020, 65(1): 279–308.

[4] Nana Zhang, Kun Zhu, Shi Ying, Xu Wang. KAEA: A novel three-stage ensemble model for software defect prediction. CMC-Computers, Materials & Continua, 2020, 64(1): 471–499.

[5] Nana Zhang, Yisong Wang, Kun Zhu. Design and Implementation of Full Text Search Engine Based on Lucene. In: DEStech Transactions on Computer Science and Engineering (CST) , 2017. 

[6] Nana Zhang, Yisong Wang, Kun Zhu. Research and Implementation of Index Real-time Updating Based on Lucene. In: International Conference on Computer Engineering, Information Science & Application Technology (ICCIA) , 2017.

[7] Kun Zhu, Shi Ying, Nana Zhang, Dandan Zhu. Software Defect Prediction Based on Enhanced Metaheuristic Feature Selection Optimization and A Hybrid Deep Neural Network. Journal of Systems and Software (JSS), 2021, 180: 111026.

[8] Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu. IVKMP: A Robust Data-driven Heterogeneous Defect Model Based on Deep Representation Optimization Learning. Information Sciences, 2022, 583: 332-363.

[9] Kun Zhu, Nana Zhang, Shi Ying, Dandan Zhu. Within-Project and Cross-Project Just-In-Time Defect Prediction Based on Denoising AutoEncoder and Convolutional Neural Network. IET Software, 2020, 14(3): 185-195.

[10] Kun Zhu, Nana Zhang, Qing Zhang, Shi Ying, Xu Wang. Software Defect Prediction Based on Non-linear Manifold Learning and Hybrid Deep Learning Techniques. CMC-Computers, Materials & Continua, 2020, 65(2): 1467–1486.   

E-mail: nnzhang@dhu.edu.cn

Address: 2999 North Renmin Road, Songjiang District, Shanghai, China

Office: Room 253, Building 1