安徽大学研究生导师简介
院（系、所）：计算机科学与技术学院
姓名：张磊
性别：男
出生年月：1986年5月


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，安徽大学计算机科学与技术学院，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论文近60篇，包括IEEE Transactions on Cybernetics,ACM Transactions on Knowledge Discovery from Data, IEEE Transactions onBig 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5项国家自然科学基金项目和多项省部级项目,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
近5年代表性文章(第一作者/通讯作者)：
[1]Lei Zhang, Yutong Liu, Fan Cheng*, Jianfeng Qiu and Xingyi Zhang, A Local-Global Influence Indicator Based Constrained Evolutionary Algorithm for Budgeted Influence Maximization in Social Networks, IEEE Transactions on Network Science and Engineering, 2021,In Press(SCI, JCR 1 class)
[2]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 1class)
[3]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, (SCI，JCR 2class)
[4]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)
[5]Lei Zhang, Ping Luo*, Linpeng Tang, Enhong Chen*, Qi Liu, Min Wang, HuiXiong, Occupancy-based frequent pattern mining. ACM Transactions on Knowledge Discovery from Data, 2015, 10(2): 14:1-14:33. (SCI, JCR 3 class)
[6]FanCheng, FeixiangChu, YiXu, Lei Zhang*, A steering-matrix-based multi-objective evolutionary algorithm for high-dimensional feature selection, IEEE Transactions on Cybernetics, 2021, In press (SCI, JCR 1 class)
[7]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)
[8]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)
[9]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)
[10]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 )
[11]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)
[12]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)
[13]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)
[14]Fan Cheng, Jiabin Chen, Jianfeng Qiu,andLei Zhang*, A Subregion Division Based Multi-Objective Evolutionary Algorithm for SVM Training Set Selection,Neurocomputing, 2020, 394:70-83(SCI, JCR 2class)
[15]Fan Cheng, Xia Zhang, Chuang Zhang, Jianfeng Qiu, and Lei Zhang*. An Adaptive Mini-Batch Stochastic Gradient Method for AUCMaximization. Neurocomputing, 2018, 318: 137-150. (SCI, JCR 2 class)
[16]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)
[17]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 ).
[18]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).
[19]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).
[20]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, 2016,44（11）：2639-2645. (EI)

近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，6.5（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，1.2（专利）
3.一种面向P2P平台的个性化推荐算法,2019.3.6,中国,2.9(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,7.0(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,1.0(专利)



获奖情况
1. 2019 生物启发计算领域国际会议BIC-TA2019 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”（**), 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”,（**), 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”（**），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”（**QF309），2020/07-2022/06，10万元，主持







填表时间：2020年9月3日