ENGLISH VERSION

别荣芳

基本信息

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  •   职称:教授  博士生导师
  •   电话:58804050
  •   邮箱:rfbie@bnu.edu.cn
 

教育背景

  • 理学硕士, 北京师范大学, 中国, 1993;
  • 理学博士, 北京师范大学, 中国, 1996;
  • 访问学者, 剑桥大学, 英国, 2003.

社会兼职

北京师范大学信息科学与技术学院分党委书记。

全国高等院校计算机基础教育研究会常务理事(2012-2016)

北京物联网研究会理事(2013-2017)

全国高等院校计算机基础教育研究会师范专业委员会主任(2016-2019)

研究领域

数据挖掘,知识工程,物联网,可计算模型论。

研究概况

  别荣芳,教授,博士生导师。中国计算机学会高级会员,ACM 会员,SCI 期刊Personal and Ubiquitous Computing编委。1996毕业于北京师范大学,获理学博士学位,后留校工作至今。2003年获得国家留学基金资助,访问英国剑桥大学计算机系。近五年以来,在国内外学术刊物和国际国内学术会议上合作发表学术论文40余篇,合作出版学术著作一部,译著多部,主持或者参与编写教材多部。曾主持和参与多项国家863项目、国家自然科学基金项目、以及多项市级和横向科研项目,曾获得多项北京市和校级奖励。

  长期以来主要从事数据库与数据挖掘、物联网、数理逻辑与可计算模型论等重要领域的基础理论及应用的创新性研究。为本科生、研究生开设数据库系统原理、大型数据库、数据挖掘、智能计算方法等多门课程,已培养了计算机专业的硕士研究生20余人。目前,主持“基于传感器系统的物体结构故障诊断方法研究”、“物联网环境下基于语义链的知识表示与知识自动获取关键技术研究”、“北京市教育信息智能搜索研究”等国家自然基金和市级项目。参与国家自然科学基金委员会与芬兰科学院合作研究项目“脑-机接口中的脑电信号智能处理方法研究”。主讲的“数据挖掘”课程获批成为教育部-IBM课程改革项目建设课程之一。

研究课题

  • 国家自然科学基金: 异质次级频谱的动态分配机制研究(2016-2019)
  • 国家自然科学基金: 基于传感器系统的物体结构故障诊断方法研究(2012-2015)
  • 中央高校基本科研业务费专项资金资助: 物联网环境下基于语义链的知识表示与知识自动获取关键技术研究(2011-2013)
  • 北京市优秀人才资助项目: 北京市教育信息智能搜索研究(2010-2012)

主要获奖与荣誉

  • 宝钢优秀教师奖(2014)
  • 北京市优秀教育工作者(2013)
  • 北京市优秀人才资助 (2010)
  • 北京高校优秀德育工作者(2007)
  • 北京师范大学“教学名师奖”(2015)
  • 北京师范大学“钱瑗教育基金优秀教师奖”(2013)
  • 北京师范大学首届“最受研究生欢迎的十佳教师”(2013)
  • 北京师范大学“优秀学工干部”(2010)
  • 北京师范大学“优秀党务工作者”(2010)
  • 北京师范大学“师德先进个人”(2007)

代表性学术论文

  • Qing, Jinjian; Liang, Xuefang; Bie, Rongfang; Gao, Xiaozhi, A new clustering algorithm based on artificial immune network and k-means method, Proceedings-2010 6th International Conference on Natural Computation, ICNC 2010, Vol.6:2826-2830 (EI: 20103013097720)
  • Fu Zengmei, Sun Qiurui, Bie Rongfang, Chen Chuanliang, A comparison study of bayesian classifiers on web pages classification, New Generation Computing, 28(2):161-168, 2010(EI: 20103013097720)
  • Chuan XU, Yong CHEN, Rongfang BIE*, Sequential Pattern Mining in Data Streams Using the Weighted Sliding Window Model, ICPADS09, Dec. 8~11, Shenzhen, China (EI: 20101212791500 )。
  • Qing Jinjian, Mao Ruilong, Bie Rongfang, Gao Xiao-Zhi, An AIS-based e-mail classification method,Lect. Notes Comput. Sci. Volume: 5755, 2009: 492-499.(EI: 20094512418332 )
  • Chen, CL; Gong, YC; Bie, RF, et al. Searching for Interacting Features for Spam Filtering, Advances in Neural Networks - ISNN 2008, PT 1, Proceedings 5263: 491-500, 2008. (EI/ISTP: 002606605000)
  • Fu, ZM; Chen, CL; Gong, YC, et al. A Comparison Study: Web Pages Categorization with Bayesian Classifiers. HPCC 2008: 10th IEEE International Conference on High Performance Computing and Communications, Proceedings pp. 789-794, 2008. (EI/ISTP: 002601283001)
  • Jixin Ma, Rongfang Bie, Guoxing Zhao. An Ontological Characterization of Time-series and State-sequences for Data Mining. Proceedings of 5th International Conference on Fuzzy Systems and Knowledge Discovery, 5: 46-49, IEEE CS Press, 2008.
  • Chen, Chuanliang; Gong, Yunchao; Bie, Rongfang. Discriminant Analysis Methods for Microarray Data Classification. Lecture Notes in Computer Science 5360 LNAI, pp. 268-277, 2008. (EI: 090411876159)
  • Chen, Chuanliang; Bie, Rongfang; Guo, Ping. Combining LPP with PCA for Microarray Data Clustering. 2008 IEEE Congress on Evolutionary Computation, pp. 2081-2086, 2008. (EI: 084611709940)
  • Jin, X; Xu, AB; Bie, RF. Cancer Classification from Serial Analysis of Gene Expression with Event Models. Applied Intelligence, 29(1): 35-46, 2008. (SCI: 002568209000)
  • Jin Xin, Li Rongyan, Shen Xian, Bie Rongfang. Automatic Web Pages Categorization with Relief F and Hidden Naive Bayes. Proceedings of the 2007 ACM Symposium on Applied Computing, pp. 617-621, 2007. (EI: 074210876848)
  • Xin Jin, Wengang Zhou, Rongfang Bie. Multinomial Event Naive Bayesian Modeling for SAGE Data Classification. Computational Statistics, 22(1): 133-143, 2007.(SCI: 024610930009)
  • Zhaodong Liu, Xin Jin, Rongfang Bie, Xiaozhi Gao. FAISC: A Fuzzy Artificial Immune System Clustering Algorithm. Proceedings - Third International Conference on Natural Computation, 3: 657-661, 2007. (EI: 080311026800)
  • Jin, X; Bie, RF. Frequent Variable Sets Based Clustering for Artificial Neural Networks Particle Classification. Advances in Data and Web Management, Proceedings 4505: 857-867, 2007. (ISTP: 247337100085)
  • Zhao, D; Gao, XZ; Bie, RF. Computing with Words in Data Mining and Pattern Recognition. Conference Information: 3rd International Conference on Intelligent Computing, Qingdao, China, 2: 285-293, 2007. ( ISTP: 251134500032)
  • Jin, Xin; Huang, Ronghuai; Bie, Rongfang. Detecting Network Attacks via Improved Iterative Scaling. 5th IEEE International Conference on Industrial Informatics, 1-3: 113-118, 2007. (ISTP: 252372900022)
  • Bie RF, Jin X, Chen CL, et al. Meta Learning Intrusion Detection in Real Time Network. Proceedings of the 17th International Conference on Artificial Neural Networks, pp. 809-816, 2007. (ISTP: 250338200082)
  • Bie, RF; Wu, GH. A Minimal Pair in The Quotient Structure M/N Cup. Computation and Logic in The Real World, Proceedings 4497: 53-62, 2007. (EI/ISTP: 024779760006)
  • Jin X, Xu AB, Zhao GX, Ma JX, Bie RF. Event Models for Tumor Classification with SAGE Gene Expression Data. Proceedings of Computational Science - ICCS 2006, vol. 3992. (SCIE/EI/ISTP: 238389400104)
  • Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo. Machine Learning Techniques and Chi-square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. LNCS, 3916: 106-115, 2006. (SCIE/EI: 237241100011)
  • Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo. Kernel Independent Component Analysis for Gene Expression Data Clustering.       LNCS, 3889: 454-461, 2006. (SCIE: 236486300057)
  • Xin Jin, Zhaodong Liu, Rongfang Bie, Guoxing Zhao, Jixin Ma. Support Vector Machines for Regression and Applications to Software Quality Prediction LNCS, 3994: 781-788, 2006. (SCIE/EI/ISTP: 238417500105)
  • Bie, RF; Jin, X; Xu, C, et al. Global and Local Preserving Feature Extraction for Image Categorization. Artificial Neural Networks - ICANN 2007, PT 2, Proceedings 4669: 546-553, 2007. (EI/ISTP: 249783400056)
  • Xin Jin, Anbang Xu, Rongfang Bie, Xian Shen, Min Yin. Spam Email Filtering with Bayesian Belief Network: Using Relevant Words. Proceedings of the 2006 IEEE International Conference on Granular Computing: 238-243, 2006. (EI/ISTP: 238353400048)
  • Xian Shen, Xiaozhi Gao, Rongfang Bie. Artificial Immune Networks: Models and Applications. Proc. of 2006 CIS06: 394-397, 2006. ( ISTP: 243679800082)
  • Bie Rongfang, Wang Shiqiang. Inductive Rings and Systems of Diophantine Equations. Acta Mathematica Sinica (English Series), 22(5): 1549-1556, 2006. (SCIE: 240337900025)
  • Xian Shen, Xin Jin, Rongfang Bie, Yunchuan Sun. MSC: A Semantic Ranking for Hitting Results of Matchmaking of Services. Proceedings of 30th Annual International Computer Software and Applications Conference. 2: 291-296, 2006. (ISTP: 241645100054)
  • Jin, X; Liu, Y; Ren, J; Xu, AB; Bie, RF. Locality Preserving Projection on Source Code Metrics for Improved Software Maintainability. AI 2006: Advances in Artificial Intelligence, Proceedings 4304: 877-886, 2006. (ISTP: 244891200092)
  • Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo. Classification Analysis of SAGE Data Using Maximum Entropy Model.  LNAI, 3614: 1037-1040, Part 2, 2005. (SCIE/EI/ISTP: 232218400133)