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韩忠明 - Han Zhongming

作者: 计算机与信息工程学院  |  发布日期:2017-03-20 18:05:30  |  阅读次数:

姓名:韩忠明

部门:北京工商大学计算机与信息工程学院计算机系

职称职务:副教授

主要研究领域:海量数据分析与挖掘,互联网挖掘,生物信息学等

主讲课程:数据库原理以及数、算法设计与分许、数据仓库与数据挖掘等

教育背景:中国医学科学院博士后

获奖及荣誉:

主要学术成果:

近年来共发表了学术论文近50篇,其中5篇论文被SCI收录,近20篇论文被EI/ISTP收录。参与或主持完成多项国家级省部级科研项目,目前参加2项北京市级科研项目,主持一项北京市教委科技基金项目,参与一项973项目、一项863项目。申请软件著作全6项,发明专利一项。

目前主持项目:

1、基于人类行为动力学的网络热点话题发现与预测(61170112),国家自然科学基金。

2、智能XML信息检索及应用研究(KM200810011008),北京市教委科技面上项目。

代表性论文:

[1]     韩忠明,陈妮, . 面向热点话题时间序列的有效聚类算法研究. 计算机学报,2012.11

[2]     韩忠明,张玉沙,. 有效的中文微博短文本倾向性分类算法. 计算机应用于软件,2012.10.

[3]     韩忠明, 刘艳君等. 在线书签系统中标签分布特性的仿真研究, 计算机仿真2011,   28(1):43-46 .

[4]     Zhongming Han, Qian Mo, et,al. Constructing Taxonomy by Hierarchical Clustering in Online Social Bookmarking. In ICEIT 2010,2010.

[5]     Zhongming Han, Qian Mo, et,al. Effectively and Efficiently Detect Web Page Duplication. In ICDIM 2009, USA.PP: 58-63EI

联系方式:

Hanzm@th.btbu.edu.cn

 

Name: Han Zhongming

Academic Posts

 

Associate professor, Department of Computer, College of Computer and Information EngineeringBeijing Technology and Business University

Research Interests

 

Data Mining, Social Networks Analysis, Pattern Recognition, Machine Learning

Teaching courses

Database, Algorithms Design and Analysis, Data Analysis Using R

Professional Experiences

 

2006-2008, Lecturer, College of Computer and Information Engineering, Beijing Technology and Business University

2008-now, Associate professor, College of Computer and Information Engineering, Beijing Technology and Business University           

Education

 

2003-2006, PhD of Computer Science and Technology, Donghua University, China

Awards & Honors

Selected Publications

 

Published more than 40 papers:

1.      Han Zhongming, Yang Ke, Tan Xusheng. Analyzing Spectrum Features of Weight User Relation Graph to Identify Large Spammer Groups in Online Shopping Websites. Chinese Journal of Computers,2017,40(4):939-954. (in Chinese).

2.      Han ZM, Chen Y, Liu W, Yuan BH, Li MQ, Duan DG. Research on node influence analysis in social networks.Journal of Software, 2017,28(1):84−104 (in Chinese).

3.      Zhongming HAN, Xusheng TAN, Yan CHEN & Dagao DUAN. NCSS: an effective and efficient complex network community detection algorithm,SCIENCE CHINA Information Sciences,2016,04:431-444.

4.      Han Zhongming, Zhang Meng, Tan Xusheng, Duan Dagao, Si Huilin. An efficient topic propagation model based on self-exciting point process, Chinese Journal of Computers,2016,04:704-716.

5.      Zhongming Han, Ke Yang, Fengmin Xu and Dagao Duan. Probabilistic graphical model for detecting spammers in microblog websites, International Journal of Embedded Systems, 2016,8(1):12-23 (EI)

6.      Han Zhong-Ming, Chen Yan, Li Meng-Qi, Liu Wen, Yang Wei-Jie. An efficient node influence metric based on triangle in complex networks. Acta Physica Sinica, 2016, 65(16): 168901. doi:10.7498/aps.65.168901.

7.      Han Zhong-Ming, Wu Yang, Tan Xu-Sheng, Duan Da-Gao, Yang Wei-Jie. Ranking key nodes in complex networks by considering structural holes. Acta Phys. Sin, 2015, 64(5): 58902-058902

Contact

 

Phone :     010-68985704

E-mail:     hanzhongming@btbu.edu.cn