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张 磊


发表日期:2018-03-23 供稿:管理员

安徽大学研究生导师简介

院(系、所):威尼斯网站网址

姓名: 张磊

性别:

出生年月:19865

导师类别:博导、硕导

技术职称: 副教授

联系方式

Email: zl@ahu.edu.cn    

招生专业名称

计算机科学与技术、软件工程(学硕、专硕)

主要研究方向

1. 数据挖掘、大数据分析

2. 进化多目标优化及其应用

3. 社会网络分析、推荐系统

个人简历

张磊,威尼斯网站网址,副教授,博士生导师,ACM/ IEEE/ CCF会员。主要研究方向为数据挖掘、社会网络分析、推荐算法、进化多目标优化及其应用研究等。在国际重要学术期刊和会议上发表SCI/EI论文50余篇,包括IEEE   Transactions on Cybernetics, ACM Transactions on Knowledge Discovery from   Data, IEEE Transactions on Big Data, IEEE Transactions on Network Science and   Engineering, IEEE Transactions on Emerging Topics in Computational   Intelligence, IEEE Computational Intelligence Magazine, Information Sciences,   Applied Soft Computing, Engineering Applications of Artificial Intelligence等计算智能、数据挖掘领域重要期刊,以及ACM SIGKDD, ACM   CIKM, IEEE ICDM等数据挖掘领域重要会议论文。获得数据库知名国际会议CIKM 2012最佳学生论文奖CCF 推荐B类会议)以及生物启发计算领域国际会议BIC-TA 2019 最佳论文奖。作为负责人先后主持了国家自然科学基金面上项目、国家自然科学基金青年项目、安徽省自然科学基金青年项目、计算智能和信号处理教育部重点实验室开发课题(重点)、安徽大学引进人才基金等项目,并且作为骨干成员参加了4项国家自然科学基金项目,申请发明专利5项。2015安徽大学“感念师恩”最受欢迎的老师。近些年来,主讲本科生课程《数据库原理》、《数据结构》和《高级语言程序设计》,以及研究生课程《数据挖掘》。个人主页:http://bimk.ahu.edu.cn/2018/0116/c12971a141929/page.htm

学术成果

5年代表性文章(第一作者/通讯作者):

[1]        Lei Zhang, Jiajun Xia, Fan Cheng*, Jianfeng   Qiu and Xingyi Zhang, Multi-Objective Optimization of Critical Node Detection   Based on Cascade Model in Complex Networks, IEEE Transactions on Network   Science and Engineering, 2020, 2020,7(3):2052-2066  (SCI,JCR 1 class)

[2]        Lei Zhang, Xinpeng Wu, Hongke Zhao*, Fan Cheng, Qi Liu, Personalized   Recommendation in P2P Lending Based on Risk-Return Management: A   Multi-Objective Perspective, IEEE Transactions on Big Data, 2020, In   press

[3]        Lei Zhang, Hebin Pan, Yansen Su,   Xingyi Zhang*,and Yunyun Niu. A mixed representation based   multi-objective evolutionary algorithm for overlapping community detection. IEEE   Transactions on Cybernetics, 2017,47(9): 2703-2716. (SCI,JCR 1 class)

[4]        Lei Zhang, Ping Luo*, Linpeng Tang,   Enhong Chen*, Qi Liu, Min Wang, Hui Xiong, Occupancy-based frequent pattern   mining. ACM Transactions on Knowledge Discovery from Data, 2015,   10(2): 14:1-14:33. (SCI, JCR 3 class)

[5]        Lei Zhang, Ping Luo*, Enhong Chen*,   Min Wang, Revisiting bound estimation     of pattern measures: A generic framework. Information Sciences,   2016, 339(1):254–273 (SCI, JCR 1 class)

[6]        Lei Zhang, Shangshang Yang, Xinpeng   Wu, Fan Cheng*,Ying Xie and Zhiting Lin, An Indexed Set Representation based   Multi-objective Evolutionary Approach for Mining Diversified Top-k High   Utility Patterns, Engineering Applications of Artificial Intelligence,   2019, 77:9-20  (SCI, JCR 2 class)

[7]        Lei Zhang, Guanglong Fu, Fan   Cheng*, Jianfeng Qiu and Yansen Su.  A Multi-Objective Evolutionary   Approach for Mining Frequent and High Utility Itemsets.  Applied Soft   Computing,  2018,    62:974-986  (SCI,JCR 2 class )

[8]        Lei Zhang, Langcun Si, Haipeng   Yang, Yuanzhi Hu, Jianfeng Qiu*, Precursory Pattern Based Feature Extraction   Techniques for Earthquake Prediction, IEEE Access,   2019,7(1),30991-31001. (SCI, JCR 2 class)

[9]        Lei Zhang, Fengjiao Sun, Fan Cheng*,   Haiping Ma and Xiaoyan Sun.  An Overlapping Community Detection Based   Multi-Objective Evolutionary Algorithm for Diversified Social Influence   Maximization, In Proceedings of the 2020 IEEE International Congress on   Evolutionary Computation, 2020, CEC'20, accepted (EI)

[10]    Lei Zhang, Xin Zhang, Fan Cheng,   Xiaoyan Sun, Hongke Zhao*. Personalized Recommendation for Crowdfunding   Platform: A Multi-objective Approach, In Proceedings of the 2019 IEEE   International Congress on Evolutionary Computation, 2019, CEC'19, pp.   3316-3324 (EI)

[11]    Haiping Ma, Haipeng Yang,   Kefei Zhou, Lei Zhang*, Xingyi Zhang, A Local-to-Global Scheme Based   Multi-objective Evolutionary Algorithm for Overlapping Community Detection on   Large-scale Complex Networks, Neural Computing and Applications, In   press (SCI JCR 2 class)

[12]     Xingyi Zhang,   Kefei Zhou, Hebin Pan, Lei Zhang*, Xiangxiang Zeng and Yaochu Jin, A   network reduction based multi-objective evolutionary algorithm for community   detection in large-scale complex networks, IEEE Transactions on   Cybernetics, 2020, 50(2): 703 - 716 (SCI, JCR 1 class)

[13]     Fan Cheng, Jiabin   Chen, Jianfeng Qiu, and Lei Zhang*,  A Subregion Division Based Multi-Objective   Evolutionary Algorithm for SVM Training Set Selection, Neurocomputing,   2020, 394:70-83 (SCI, JCR 2 class) 

[14]     Fan Cheng,   Yangxi Liu, Jianfeng Qiu, Lei Zhang*, A Sparse Stochastic Method with   Optimal Convergence Rate for Optimizing Pseudo-Linear Performance Measures, IEEE   Access, 2019, 7(1):83729-83739 (SCI, JCR 2   class) 

[15]     Jianfeng Lin,   Lei Zhang*, Ming He, Hefu Zhang, Guiquan Liu*, Xiuyuan Chen, Zhongming   Chen, Multi-Path Relationship Preserved Social Network Embedding, IEEE   Access, 2019, 7(1):26507-26518 (SCI, JCR 2 class)

[16]     Fan Cheng,   Xia Zhang, Chuang Zhang, Jianfeng Qiu and Lei Zhang*, An Adaptive   Robust Online Method for AUC Maximization, IEEE Access, 2018,   6: p 52004-52013 (SCI, JCR 2 class) 

[17]     Fan Cheng,   Xia Zhang, Chuang Zhang, Jianfeng Qiu, and Lei Zhang*. An Adaptive   Mini-Batch Stochastic Gradient Method for AUC Maximization. Neurocomputing,   2018, 318: 137-150.  (SCI, JCR 2 class) 

[18]     Xingyi Zhang,   Fuchen Duan, Lei Zhang*, Fan Cheng, Yaochu Jin and Ke   Tang, Pattern recommendation in task-oriented applications: a   multi-objective perspective, IEEE Computational Intelligence Magazine,   12 (3): 43-53, 2017. (SCI, JCR 1 class)

[19]     Jianfeng Qiu,   Juan Xie, Fan Cheng, Xuefeng Zhang and Lei Zhang*, A Hybrid   Social Spider Optimization Algorithm with Differential Evolution for   Global Optimization, Journal of Universal Computer Science,   23 (7): 619-635, 2017. (SCI, JCR 4 class)

[20]     Xingyi Zhang,   Jun Li and Lei Zhang*, A Multi-objective Membrane Algorithm Guided by   Skin Membrane, Natural Computing, 2016, 15(4): 597-610.(SCI, JCR   4 class)

[21]    Rui Li, Xiaobo Lu, Shuowei Li, Haipeng Yang,   Jianfeng Qiu and Lei Zhang*, DLEP: A Deep Learning Model for   Earthquake Prediction, In Proceedings of the 2020 IEEE International Joint   Conference on Neural Networks, 2020, IJCNN'20, accepted (EI, CCF C ).

[22]    Yang Yu, Lei Zhang*, Jiakai Shen, Qingcai   Wang and Guiquan Liu*, Seismic Event Detection via Deep Multi-Task Learning, In   Proceedings of the 2020 IEEE International Joint Conference on Neural   Networks, 2020, IJCNN'20, accepted    (EI, CCF C).

[23]    Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang,   Lei Zhang*. A Closed Itemset Property based Multi-objective   Evolutionary Approach for Mining Frequent and High Utility Itemsets, In   Proceedings of the 2019 IEEE International Congress on Evolutionary   Computation, 2019, CEC'19, pp. 3356-3363 (EI).

[24] 张兴义, 蒋小三, 张磊*. 基于权值向量的偏好多目标优化方法, 电子学报, 2016,4411):2639-2645. (EI)

  

5年申请专利情况(第一发明人):

1.           一种基于重叠社团检测的社交网络优质用户识别方法,2020.6.28,中国,202010596006.5(专利)

2.           一种P2P平台上基于博弈多目标优化的双向推荐方法,2020.4.16,中国,202010299351.2(专利)

3.            一种面向P2P平台的个性化推荐算法, 2018.8.3, 中国, 201910168652.9    (专利)

4.           一种基于多目标的电力网络关键节点识别, 2018.8.3, 中国, 201810879147.0   (专利)

5.           一种基于多目标优化的商品组合模式的挖掘方法, 2017.4.12, 中国, 201710237451.0    (专利)

 

获奖情况

1.          2019 生物启发计算领域国际会议BIC-TA 2019 最佳论文奖;

2.          2015   安徽大学“感念师恩最受欢迎的老师;

3.          2012   ACM CIKM2012 最佳学生论文奖(CCF 推荐B 类会议);

在研项目

1、主持国家自然基金面上基金项目,“基于进化多目标优化的社交网络分析研究”(61976001),  2020.1-2023.12, 63万。

2、主持国家自然基金面上基金项目子课题,融合深度学习与进化优化的多源异构用户生成内容个性化搜索”,61876184),  2019.1-2022.12, 12万元。

3、主持国家自然基金青年项目,“基于多目标优化的约束模式挖掘方法研究”(61502001),2015/01-2018/12 , 20万元。

4、主持安徽省自然基金青年项目,“复杂网络重叠社团检测多目标优化方法研究”(2008085QF309),2020/07-2022/06,10万元,主持







  填表时间:202093

 








 

 




 


 



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