北京交通大学计算机与信息技术学院硕导介绍：景丽萍

　　景丽萍 
 
  
 
　　职 称： 讲师
　　 
　　学 历： 博士
  
　　办公电话： 51688451
 
 
　　毕业学校： 香港大学
 
 
　　个人博客： IJDMMM杂志编委 Knowledge-based system评委
  
 
　　个人简介： 
　　个人履历：
 
　　03/2009 ~ 至今  讲师 北京交通大学 计算机与信息技术学院

　　07/2009~08/2009 访问学者 香港浸会大学 数学系

　　01/2008 ~ 12/2008 博士后研究员 美国德州大学达拉斯分校 计算机系

　　09/2007 ~ 12/2007 博士后研究员 香港浸会大学 数学系

　　07/2006 ~ 12/2006 实习生 IBM中国研究院  
 
　　09/2003 ~ 08/2007 博士  香港大学 数学系&电子商务科技研究所 

　　09/2000 ~ 03/2003 硕士   北方交通大学 计算机科学与技术学院

　　09/1996 ~ 07/2000 学士   北方交通大学 计算机科学与技术学院

　　研究方向： 
 
　　信息检索

　　1. 查询关键词扩展
　　2. 查询结果重构

　　文本挖掘
　　1. 基于领域知识的文本数据表示模型构建
　　2. 结合文本数据特点的聚类算法设计
　　3. 结合背景知识的半监督学习算法设计

　　机器学习及应用
　　1. 机器学习方法在生物信息学领域中的应用
 
 
　　论文情况： 
 

　　1.           Liping Jing, M.K.Ng and T. Zeng, Novel hybrid method for gene selection and cancer prediction, Accepted, Intl. Conf. on Computational and Systems Biology, accepted, Penang, Malaysia, Feb.24-26, 2010. (EI)

　　2.           景丽萍,恽佳丽,于剑, 领域知识在文本聚类应用中的机遇和挑战, Agent2010，推荐到《计算机工程和科学》, 接受，2010 (核心期刊)

　　3.           Liping Jing, M.K. Ng and Y. Liu, Construction of gene networks with hybrid approach from expression profile and gene ontology, IEEE Trans. on Information Technology in Biomedicine, 14(1): 107-118, 2010.  (SCI)

　　4.           Liping Jing, M.K.Ng and J.Z.Huang, Knowledge-based vector space model for text clustering, Knowledge and Information System, Accepted, online published DOI: 10.1007/s10115-009-0256-5, Oct.02, 2009 , to appear in Journal, 2010 (SCI)

　　（URL：http://www.springerlink.com/content/m178072619111181/）

　　5.           Liping Jing and Y.K.Lau, Grannular computing for text mining: new research challenges and opportunities, Proc. of the 12th Intl. Conf. of RSFDGrC, India, Dec.16-18, 2009. (EI, ISTP)

　　6.           Y. Zhu, Liping Jing, J. Yu, New labeling strategy for semi-supervised document categorization, Proc. of the 3rd Intl. Conf. of KSEM, Vienna, Austria, Nov.25-27, 2009. (EI, ISTP)

　　7.           Liping Jing, J. Li, Y. Cheung, M.K. Ng and J.Z. Huang, SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters, International journal of data mining, modeling and management, 1(2):149-177, 2009.

　　8.           M. K. Ng and Liping Jing, A new fuzzy k-modes clustering algorithm for categorical data, International journal of granular computing, rough sets and intelligent systems, 1(1):105-119, 2009.

　　9.           K. Yip, L. Cheung, D. Cheung, Liping Jing and Michael K. Ng, A Semi-supervised Approach to Projected Clustering with Applications to Microarray Data, International Journal of Data Mining and Bioinformatics (IJDMB), 3(3):229-259, 2009. (SCI)

　　10.        Liping Jing, Y. Liu and P. Bachman, Hybrid approach to inferring gene networks with expression profile and gene ontology, The international association science and technology for development, Computational biology and bioinformatics (IASTED CBB), full paper, Orlando, FL, USA, Nov., 2008.

　　11.        Y. Liu, W. Li, Y. Lin and Liping Jing, Spectral Geometry for Simultaneously Clustering and Ranking Query Search Results, The 31st annual international ACM SIGIR conference, Singapore , 2008.

　　12.        Liping Jing, Michael K. Ng and Z. Huang, Soft subspace clustering for high-dimensional data,  Chapter in Book: Encyclopedia of Data Warehouse and Mining, Publisher: information science reference, ISBN: 9781605660103, 2008. (Book Chapter)

　　13.        X. Zhang, Liping Jing, X. Hu, Michael K. Ng, J. Xia and X. Zhou, Medical document clustering using ontology-based term similarity measures, International Journal of data warehousing & mining (IJDWM), 4(1), 62-73, 2008. (SCI)

　　14.        Liping Jing, Mark J. Li, Michael K. Ng, Yiu-ming Cheung and Joshua Z. Huang, On subspace clustering with automatic selection of cluster numbers for microarray data, IEEE 7th International conference on Bioinformatics & BioEngineering (BIBE), Boston, Massachusetts, USA, Oct. 2007. (PubMed)

　　15.        Liping Jing, Michael K. Ng, and Joshua Z. Huang, An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data, IEEE transaction on knowledge and data engineering (TKDE), 19(8), 1026-1041, 2007. (SCI)

　　16.        X. Zhang, Liping Jing, X. Hu, Michael K. Ng, and X. Zhou, A comparative study of ontology based term similarity measures on PubMed document clustering, Database systems for advanced applications (DASFAA), 2007. (SCI)

　　17.        Joshua Z. Huang, Michael K. Ng, and Liping Jing, Text clustering: algorithms semantics and systems, Tutorial on the 10th Pacific-Asia conference on knowledge discovery and data mining (PAKDD), 2006. (Conference Tutorial)

　　18.        Liping Jing, Michael K. Ng, and Joshua Z. Huang, A text clustering system based on k-means type subspace clustering and ontology, International Journal of Intelligent Technology (IJIT), v1(2), 91-103, 2006. (SCI)

　　19.        Liping Jing, L. Zhou, Michael K. Ng, and Joshua Z. Huang, Ontology-based distance measure for text clustering, the 6th SIAM International conference on data mining (SDM), 2006.(SCI)

　　20.        X. Zhang, Joshua Z. Huang, D. Qian, J. Xu, and Liping Jing, Supplier categorization with k-means type subspace clustering, The 8th Asia Pacific web conference (APWeb), 2006. (SCI)

　　21.        Liping Jing, Michael K. Ng, J. Xu, and Joshua Z. Huang, On the performance of feature weighting k-means for text subspace clustering, The 6th International conference on web-age information management (WAIM), 502-512, 2005. (SCI)

　　22.        Liping Jing, Y. Gao, G. Wu, Jushua Z. Huang and J. Li, Feature weighting k-means algorithms for large-scale documents clustering, Journal of computer research and development (计算机研究与发展), V42, 2005. (EI)

　　23.        Liping Jing, Joshua Z. Huang, Michael K. Ng, J. Xu, Subspace clustering of text documents with feature weighting k-means algorithm, The 9th Pacific-Asia conference on knowledge discovery and data mining (PAKDD), 802-812, 2005. (SCI)

　　24.        Liping Jing, Joshua Z. Huang, Michael K. Ng, and H. Rong, A feature weighting approach to building classification models by interactive clustering, Modeling decisions for artificial intelligence (MDAI), 284-294, 2004. (SCI)

　　25.        Liping Jing, H. Huang, and H. Shi, Improved feature selection approach TFIDF in text mining, The international conference on machine learning and cybernetics (ICMLC), v1-4, 944-946, 2002.(EI)

　　26.        H. Shi, Liping Jing, and H. Huang, Learning tree-augmented naive Bayesian network by reduced space requirements, The international conference on machine learning and cybernetics (ICMLC), v1-4, 1232-1236, 2002. (EI)

　　27.        H. Shi, Liping Jing, H. Huang, and Z. Wang, Text classification based on the TAN model, The 17th IEEE Region 10 international conference on computers, communications, control and power engineering (ICCCPE), v1, 43-46, 2002. (EI)

 
　　获奖情况： 
　　北京交通大学计算机学院 2009年度科研三等奖
 
　　项目科研情况： 
　　在研项目：

　　国家青年自然科学基金  文本语义模型与子空间聚类研究  19万 2010.1---2012.12  （主持）
 
　　授课情况： 
　　本科生课程： 离散数学 
 
　　指导研究生情况： 
　　10/2004~08/2005  指导一名香港大学硕士研究生顺利毕业，研究方向为聚类算法在商业智能中的应用。
　　03/2009~            协助指导一名北京交通大学硕士研究生， 研究方向为: 文本挖掘系统构建
　　03/2009~            协助指导一名北京交通大学博士研究生， 研究方向为: 基于半监督学习的文本分类研究
　　03/2009~            协助指导一名北京交通大学博士研究生， 研究方向为: 基于领域知识的文本语义模型创建