Institute of
Bioinspired Intelligence and Mining Knowledge
Location:首页  Researchers  Teachers

张 磊(副教授/硕导)


张 磊(副教授 / 硕导)

●电  话:18656556957




主要研究方向:Data Mining、Big Data Analysis、Multi-objective Optimization、Social Network Analysis、Pattern Recommendation

Education Experience: 
2008.9~ 2014.6 Ph.D. in Computer Science and Technology, University of Science and Technology of China (Hefei, P. R. China)
2003.9~ 2007.7 B.S. in Computer Science and Technology, Anhui Agriculture University (Hefei, P. R. China)

Working Experience: 

2019.1~ present  Department of Computer Science and Technology, Anhui University,  Associate Professor

2014.7~ 2018.12  Department of Computer Science and Technology, Anhui University,  Lecturer

2013.7~ 2014.6   Department of Computer Science and Technology, University of Science and Technology of China, Assistant Researcher

2011.4~ 2013.3   HP Labs China (Beijing), Research Intern. 


国家自然基金青年科学基金项目,“基于多目标优化的约束模式挖掘方法研究”(61502001 ), 2016.1-2018.12.

国家自然基金面上科学基金项目,“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.

国家自然基金面上科学基金项目,“基于进化多目标优化的社交网络分析研究”(61976001), 2020.1-2023.12.


2015 安徽大学“感念师恩"最受欢迎的老师

2012 ACM CIKM2012 最佳学生论文奖(CCF B 类会议)


ACM Member;CCF Member; IEEE Member.                                                                                                                              



● 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).     [Download]

● 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).          [Download]

● 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).           [Download]

● Jianfeng Qiu, Minghui Liu, Lei Zhang, Wei Li and Fan Cheng*. A multi-level knee point based multi-objective evolutionary algorithm for AUC maximization,  Memetic Computing, 2019, In press.  (SCI, JCR 3 Class).          [Download]

● Ye Tian, Shangshang Yang, Lei Zhang, Fucheng Duan and Xingyi Zhang*. A surrogate-assisted multi-objective evolutionary algorithm for large-scale task-oriented pattern mining,  IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3(1):1-10.  (EI).                      [Download]

● 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).                     [Download]

● 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)                     [Download]

● Yansen Su, Huole Zhu, Lei Zhang, Xingyi Zhang. Identifying Disease Modules Based on Connectivity and Semantic Similarities,In Proceedings of  BIC-TA 2019, accepted, 2019. (EI)                     [Download]

● Jianfeng Qiu, Fan Cheng, Lei Zhang, Yi Xu. A Diversity Based Competitive Multi-objective PSO for Feature Selection. In Proceedings of ICIC 2019, pages: 26-37, 2019. (EI)                     [Download]


● 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 ).    [Download]

● 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, 2018, In press (SCI, JCR 1 class).    [Download]

● 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).          [Download]

● Zhangxiao Li, Lei Zhang, Yansen Su, Jun Li and Xun Wang*, A skin membrane-driven membrane algorithm for many-objective optimization, Neural Comput & Applic,  2018, 30 (1): 141-152 . (SCI, JCR 2 Class).          [Download]

● Yang Yu, Jianfeng Lin, Lei Zhang, Guiquan Liu, Jing Hu, Yuyang Tan and Haijiang Zhang. Identification of Seismic Wave First Arrivals from Earthquake Records via Deep Learning. In: Proceedings of KSEM 2018, pages: 274-282. (EI, CCF C).              [Download]


● Jianfeng Qiu, Juan Xie, Fan Cheng, Xuefeng Zhang, Lei Zhang*, A Hybrid Social Spider Optimization Algorithm with Differential Evolution for Global Optimization, Journal of Universal Computer Science, vol. 23, no. 7 (2017), 619-635 (SCI, JCR 4 class).                     [Download]

● Fan Ye*, Lei Zhang, Binhong Wang, Lu Liu and Xingyi Zhang. Extended shortest path selection for package routing of complex networks, International Journal of Model Physics C. Volume 28, Issue 11, November 2017 (SCI, JCR 4 class).[Download]

● Yansen Su, Bangju Wang, Fan Cheng, Lei Zhang, Xingyi Zhang*, and Linqiang Pan, An algorithm based on positive and negative links for community detection in signed networks, Scientific Reports, 2017, Article number: 10874 (SCI, JCR 2 class).          [Download]

● 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. The Matlab code can be available from the download. (SCI, JCR 1 class)      [Download]

● Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming guo and Guiquan Liu*. Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels. KSEM 2017, In press. (EI, CCF C)          [Download]

Yunfeng Chen,  Lei Zhang, Xin Li, Yu Zong, Guiquan Liu* and Enhong ChenIncorporating User Preferences across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation, WAIM 2017, in press. ( EI, CCF C)

● 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 2 class)                                              [Download]


● Xingyi Zhang, Jun Li and Lei Zhang*, A multi-objective membrane algorithm guided by skin membrane, Natural Computing, 2016, 15(4), 597-610 (SCI)                              [Download]

● Zhangxiao Li, Lei Zhang, Yansen Su, Jun Li and Xun Wang*, A skin membrane-driven membrane algorithm for many-objective optimization, Neural Comput & Applic, 2016, in press. (SCI Index, JCR 3 Class)          [Download]

● 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)                                                  [Download]

● 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检索)                                                  [Download]


● 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)         [Download]

● Yiming Yang, Lei Zhang, Guiquan Liu and Enhong Chen. UPCA: An efficient URL-Pattern based algorithm for accurate web page classification, FSKD 2015, Pages: 1475 – 1480. (EI)        [Download]

● Fan Cheng*, Kang Yang, Lei Zhang. A Structural SVM Based Approach for Binary Classification under Class Imbalance, Mathematical Problems in Engineering, 2015.(SCI Indexed, IF:0.644,JCR 3 class)[Download]


● Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong and Chu Guan. Mining User Tasks from Print Logs, IJCNN 2014, Pages: 1250 – 1257. (CCF C, EI)                             [Download]

● Lili Zhou, Hanchao Wang , Lei Zhang, Enhong Chen, Jun Chen, Xin Li and Qi Liu., A Novel Knowledge Network Framework for Financial News Navigation , WAIM 2014,Pages: 723-727(CCF C,EI)                    [Download]

● Hanchao Wang, Lili Zhou, Lei Zhang, Yu Zong, Enhong Chen, Xin Li and Jun Chen. An Intelligent Search Platform for Business News, WAIM 2014,Pages: 744-755 (CCF C,EI)                    [Download]

● Jing Wang, Lei Zhang, Guiquan Liu,Qi Liu and Enhong Chen, On top-k closed sequential patterns mining, IEEE FSKD 2014, Pages: 295 – 300. (EI)                    [Download]

● Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu and Chu Guan, High Utility Episode Mining Made Practical and Fast, ADMA 2014, Pages: 71-84. (EI)                    [Download]


● Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen. Linear Computation for Independent Social Influence, IEEE ICDM 2013, Pages: 468 - 477.  (CCF B, EI)                    [Download]

● Hanying Chen, Guiquan Liu, Lei Zhang. Semi-supervised Image Classification Based on Sparse Coding Spatial Pyramid Matching, ICIMCS 2013, Pages: 273-276. (EI)                    [Download]

● Xin Li, Lei Zhang, Enhong Chen, Yu Zong and Guangdong Xu, Mining Frequent Patterns in Print Logs with Semantically Alternative Labels, ADMA 2013, Pages:107-119. (EI)                    [Download]


● Linpeng Tang, Lei Zhang, Ping Luo and Min Wang. Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation, ACM CIKM 2012, Pages: 75--84.  (Best Student Paper Award, CCF  B, EI)                  [Download]

● Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang and Guiquan Liu. Harnessing the Wisdom of the Crowds for Accurate Web Page Clipping, ACM SIGKDD 2012, Pages: 570--578.  (CCF A, EI)                [Download]

● Chenjun Dai, Guiquan Liu, Lei Zhang and Enhong Chen, Storage Device Performance Prediction with Hybrid Regression Models, IEEE PDCAT 2012,Pages: 556 – 559. (EI)             [Download]

● Wenhui Yang, Guiquan Liu, Lei Zhang and Enhong Chen, Multi-View Learning with Batch Mode Active Selection for Image Retrieval, IEEE ICPR 2012, Pages: 979--982. (CCF C, EI)         [Download]

● Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao and Lei Zhang. Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization. In ACM CIKM 2012, Pages:1854-1858 (CCF B, EI)    [Download]

● Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang and Enhong Chen, Analyzing Sequence Data Based on Conditional Random Fields with Co-training, IEEE CIS 2012, Pages: 94--98. (EI)         [Download]


● Lei Zhang, Guiquan Liu and Enhong Chen. A Hybrid Approach Based on Regression Tree and Radial-Based Function Network for Dynamic Storage Device Performance Prediction, IEEE CSSS 2011, Pages: 21--25. (EI)                     [Download]


● Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang and Enhong Chen. Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree, IFIP NPC 2010 , Pages: 121--133. (CCF C,EI)                              [Download]