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张晓峰的简历

更新时间:2011年09月19日 06:40:39访问次数:

姓名:张晓峰

任职:副教授,硕士生导师

通讯地址:深圳西丽深圳大学城哈工大校区C409

邮编:    518055

E-Mail zhangxiaofeng@hit.edu.cn

 

研究方向:

数据挖掘、机器学习、人工智能

 

教育经历:

1.2003—2008年获博士学位,香港浸会大学

2.1997—1999年获硕士学位,哈尔滨工业大学

3.1993—1997年获学士学位,东北电力大学

 

工作经历:

2011.03 - 现在      助理教授,哈尔滨工业大学深圳研究生院

科研项目:

12008.8 2009.3

项目:ITP/024/07LP, RFID-based Interoperable Gateway for Logistics Service Platforms (RIG), 香港创新及科技基金,参与。

 

22006-2007

项目:RGC/HKBU210206A Model-based Approach to Distributed Data Mining with Privacy Preservation, 香港研究资助局(RGC),主要参与人。

 

3 2003 2005

项目:Centre for e-Transformation Technology Research, 香港研究资助局(RGC),参与。

 

期刊论文:

 

1.       Chunshan Li, Yunming Ye, X.F. Zhang, “TPS: an Unsupervised Web Page Segmentation Algorithm Based on Dom Tree Structure Mining”, Information, 2012 (SCI)

2.       X.F. Zhang, William K. Cheung and C.H. Li, “Learning Latent Variable Models From Distributed Data”, Information Sciences, pp. 2964-2988, July 2011, (SCI)IF 3.29

3.       X.F. Zhang, Z.W. Luo, Frank. Tong, and William K. Cheung “A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain”, International Journal of Applied Logistics, pp. 1-12, Vol. 1, Issue 4, 2010

4.       W. K. Cheung , X.F. Zhang, H. F. Wong, J. Liu, Z. Luo, F. Tong, "Service Oriented distributed data mining", IEEE Internet Computing, pp. 44-54, July-August, 2006 (SCI) IF 3.1

5.       X.F. Zhang, C.M. Lam and W.K. Cheung, “Mining Local Data Sources for Learning Global Cluster Models via Local Model Exchange,” The IEEE Intelligent Informatics Bulletin, 4(2), pp. 16-22, 2004.

 

会议论文:

 

1.       Yunming Ye, Chunshan Li, X.F. Zhang, “Unsupervised Web Page Segmentation through Graph Partition of DOM Tree”, in Proceedings of International Conference on Computer Convergence Technology , 2011

2.       Y.L. Fei, Z.W. Luo, Y. Xu and X.F. Zhang,  A Semantic DOM Approach for Webpage Information Extraction”, In Proceedings of the 2009 International Conference on Engineering Management and Service Sciences, pp. 1-5, 2009.

3.     X.F. Zhang and William K. Cheung, A Game Theoretic Approach to Active Distributed Data Mining”, In Proceedings of the 2007 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology(IAT07), pp.109-115, Fremont, California, Nov., 2007 (EI).

4.     X.F. Zhang, William K. Cheung, C.H. Li, Graph-Based Abstraction for Privacy Preserving Manifold Visualization”, In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI06),pp. 94-97, Hong Kong, Dec., 2006 (EI)

5.       Xin Li, Zhili Wu and X.F. Zhang, “An Adaptation of EPCA to Image Compression and Reconstruction”, In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pp. 856-860, Taipei , Taiwan , Oct., 2006 (EI)

6.       X.F. Zhang, H.F. Wong and William K. Cheung, “A Privacy-Aware Service-oriented Platform for Distributed Data Mining”, In Proceedings of the Third IEEE Conference on Enterprise Computing, E-Commerce and E-Services (EEE' 06), pp. 44-47, San Francisco , California, Jun., 2006 (EI)

7.       X. F. Zhang, William K. Cheung,Visualizing Global Manifold Based on Distributed Local Data Abstractions”, In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM05), pp.821-824,  Houston, Texas, Nov., 2005. (EI)

8.       X.F. Zhang and William K. Cheung, “Learning Global Models based on Local Data Abstractions”, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI05), pp. 1645-1646, Edinburg, Scotland, Aug., 2005. (SCI

9.       C.M. Lam, X.F. Zhang and William K. Cheung, “On Mining Local Data Sources for Learning Global Cluster Models”, In Proceedings of the 2004 IEEE/WIC International Conference on Web Intelligence (WI 2004), pp. 748-751, Beijing, China, Sep., 2004. (EI)

10.   X.F. Zhang, C.M. Lam and William K. Cheung, “Web Page Organization and Visualization Using Generative Topographic Mapping – A Pilot Study”, In Proceedings of the ICML 2004 Workshop on Statistical Relational Learning (SRL’2004), Banff, Canada, Jul., 2004.

 

 

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