个人简介
个人简历
张磊，安徽大学计算机科学与技术学院，副教授，硕士生导师，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 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, Neurocomputing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）。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、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4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》。
获奖情况
1. 2015 安徽大学“感念师恩最受欢迎的老师；
2. 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。
近期论文
查看导师最新文章
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[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, In press (SCI)
[2] 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)
[3] 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 )
[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*, 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, 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)
[7] 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)
[8] 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)
[9] 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)
[10] Lei Zhang, Linpeng Tang, Ping Luo*, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu. Harnessing the wisdom of the crowds for accurate web page clipping. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge and Date Mining, 2012, Beijing, KDD’12, pp. 570-578 (EI, CCF A类会议)
[11] Lei Zhang, Guiquan Liu, Enhong Chen*, A hybrid approach based on regression tree and radial-based function network for dynamic storage device performance prediction. In: Proceedings of 2011 International Conference on Computer Science and Service System, 2011, Nanjing, CSSS 2011, pp. 21-25. (EI)
[12] Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen*, Storage device performance prediction with selective bagging classification and regression tree. In: Proceedings of IFIP International Conference on Network and Parallel Computing, 2010, Zhengzhou, NPC 2010, pp. 121-133. (EI, CCF C)
[13] 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)
[14] Fan Cheng, Jiabin Chen, Jianfeng Qiu, and Lei Zhang*, A Subregion Division Based Multi-Objective Evolutionary Algorithm for SVM Training Set Selection, Neurocomputing, 2020, In press (SCI, JCR 2 class)
[15] 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)
[16] 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)
[17] 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)
[18] 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)
[19] 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)
[20] 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)
[21] 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)
[22] 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 ).
[23] 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).
[24] 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).
[25] 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)
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