计算机科学与技术学院欢迎你 |

师资力量

  • 全职教师
  • 双基地教师
  • 特聘教师
  • 访问教授
  • 博士后
  • 院士

黄哲学的简历

更新时间:2007年06月20日 14:23:44访问次数:

姓名: 黄哲学(Joshua Huang)              
任职: 香港大学电子商业科技研究所助理总监,高级研究员,香港大学数学系荣誉教授,博士生导师
通讯地址:香港薄扶林道香港大学电子商业科技研究所
电话: 852-22990528
传真: 852-22990500
E-mail: jhuang@eti.hku.hk
 
教育经历:
1.        1989-1993 ,瑞典皇家理工大学( The Royal Institute of Technology in Sweden ,获空间数据库专业博士学位
2.        1983-1986 ,东北林业大学获遥感专业硕士学位
3.        1978-1981 ,哈尔滨工业大学获信息处理与模式识别专业学士学位
工作经历:
1.      2000- 现在,香港大学电子商业技术研究所,助理总监,高级研究员, 香港大学数学系荣誉教授,博士生导师
2.      1998-2000 MIP Australia 顾问公司,商业智能高级咨询顾问
3.      1994-1998 年,澳大利亚联邦科学与工业研究院( CSIRO )信息技术与数学研究所,研究员; 澳大利亚国立大学( ANU )高性能计算中心 (ACSys) 研究员
4.      1988-1994 ,瑞典皇家理工大学航空摄影测量与遥感系,访问学者,博士研究生,研究员
5.      1981-1988 ,东北林业大学讲师
研究方向: 数据挖掘与商务智能
   
 
 
主要经历
 
黄哲学 (Joshua Zhexue Huang) ,男, 1959 7 月生,香港大学电子商业科技研究所助理总监,高级研究员,上海交大 -IBM- 香港大学 "e 时代技术研究中心 " 副主任, 1993 年在瑞典皇家理工大学( Royal Institute of Technology )获博士学位。在香港大学工作前,黄哲学教授曾任澳大利亚联邦科学院信息与数学科学研究所研究员,澳大利亚国立大学高性能计算中心研究员。黄教授多年来一直从事数据挖掘、大量和复杂的实时数据分析、数据库以及商务智能系统的研究工作,他提出的 K-Modes K-Prototypes 快速聚类算法解决了商业数据库大量属性属性和混合数据的聚类问题,该算法已被纳入数据挖掘教科书中,并被广泛采用和引用。黄教授已在 IEEE Transaction Data Mining & Knowledge Discovery 等国际重要杂志和国际会议上发表论文八十余篇,许多论文已被广泛引用。
Selected Refereed Publications
International Journals
(1)       Huang, Joshua Zhexue, Ng, Michal K.P., Rong, Hongqiang and Li, Zichen (2005) Automated Variable Weighting in k-means Type Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 5, pp.657-668.
(2)     Huang, Joshua Zhexue and Ng, Michael K. (2003) A Note on K-modes Clustering.  Journal of Classification, Vol. 20, pp.257-261.
(3)       Huang, Z. and Ng, M. (1999) A Fuzzy k-modes Algorithm for Clustering Categorical Data. IEEE Transactions on Fuzzy Systems, Vol. 7, No. 4, pp. 446-452.
(4)       Huang, Z. (1998) Extensions to the k-means Algorithm for Clustering Large Data Sets with Categorical Values. International Journal of Data Mining and Knowledge Discovery, Vol. 2, No. 3, pp. 283-304.
(5)       Ng, M and Huang, Z. (1999) Data-Mining Massive Time Series Astronomical Data: Challenges, Problems and Solutions. International Journal of Information and Software Technology, Vol. 41, No. 9, pp. 545-556.
(6)       He, Zengyou, Xu, Xiaofei, Huang, Joshua Zhexue and Deng, Shengchun (2005) FP-Outlier: Frequent Pattern Based Outlier Detection. To appear in Computer Science and Information Systems.
(7)       Ye, Yunming, Rong, Hongqiang, Lu, Yiming, Ma, Fanyuan and Huang, Joshua Zhexue (2005) LinkPulse: An Online Self-adaptive Link Evaluation Algorithm for Topical Web Crawler. To appear in Journal of Harbin Institute of Technology.
(8)       Tang, Feilong, Li, Minglu and Huang, Joshua Zhexue (2005) GridTS: A Transaction Service for Intelligent Grid Environment, To appear in Journal of Future Generation Computer Systems.
(9)       Gao, Yang and Huang, Joshua Zhexue (2005) Adaptive Job Scheduling in BI-Grid, To appear in Journal of Future Generation Computer Systems.
(10)    He, Zengyou, Xu, Xiaofei, Deng, Shengchun, and Huang, Joshua Zhexue (2005) Clustering Categorical Data Streams, To appear in Journal of Computational Methods in Sciences and Engineering.
(11) Gao, Yang, Rong, Hongqian, and Huang, Joshua Zhexue (2005) Adaptive Grid Job Scheduling with Genetic Algorithms. Future Generation Computer Systems, V.21, pp.151-161.
(12)  Tang, Feilong, Li, Minglu, Huang, Joshua Zhexue 2004 A real-time transaction processing approach for autonomic Grid environment, in Engineering Applications of Artificial Intelligence, v.17, No. 7, pp.799-807.
(13) He, Zengyou, Xu, Xiaofei, Huang, Joshua Zhexue and Deng, Shengchun (2004) Mining Class Outliers: Concepts, Algorithms and Applications in CRM. Expert Systems with Applications, Vol. 27, pp.680-697, Elsevier.
(14) Wang, Hongbing, Huang, Joshua Zhexue, Qu, Yuzhong and Xie,  Junyuan (2004) Web services: problems and future directions, Journal of Web Semantics, 1(3), pp.309-320.
(15) Chan, E. Y., Ching, W. K., Ng, M. K., and Huang, J. Z. (2004) An Optimization Algorithm for Clustering using Weighted Dissimilarity Measures. Pattern Recognition, 37(5), pp.943-952.
(16) Shen, R., Han, P., Yang, F., Yang, Q. and Huang, J. Z.  (2003) Data Mining and Case-based Reasoning for Distance Learning. International Journal of Distance Education Technology, Vol. 1, No. 3, pp.46-58.
(17) Yang, Q., Huang, J.Z. and Ng, M. (200 3 ) A Data Cube Model for Prediction-based Web Prefetching. Journal of Intelligence Information Systems , Vol. 20, No. 1, pp.11-30 .
International Conference Proceedings
(1)       Huang, Joshua Z., Rong, Henry H, Ting, Jessica, Ye, Yunming, and Huang, Qiming (2003) Clustering and Cluster Validation in Data Mining, in Advances in Data Mining and Modeling, ed. Wai-Ki Ching & Michael Ng, World Scientific.
(2)       Huang, Z., Ng, J., Cheung, D.W., Ng, M. and Ching, W.K. (2001) A Cube Model for Web Access Sessions and Cluster Analysis. In Proceeding of WEBKDD01, Springer.
(3)       Huang, Z., Ng, J., Cheung, D.W., Ng, M. and Ching, W.K. (2001) A Cube Model for Web Access Sessions and Cluster Analysis. In Proceeding of WEBKDD01, Springer.
(4)       Huang, Z. (1997) Clustering Large Data Sets with Mixed Numeric and Categorical Values. (PAKDD'97), Singapore, World Scientific, pp. 21-35.
(5)       Huang, Z. (1993) Designing a Spatial Query Language for Spatial Data Query and Analysis. In: H. Lu and B. C. Ooi (eds), GIS: Technology and Applications, World Scientific.
(6)       Huang, Z. and Svensson, P. (1993) Neighbourhood Query and Analysis with GeoSAL, a Spatial Query Language. In: D. Abel and B. C. Ooi (eds), Advances in Spatial Databases, Lecture Notes in Computer Science 692, Springer.
(7)       Huang, Z., Svensson, P. and Hauska, H. (1992) Solving Spatial Analysis Problems with GeoSAL, a Spatial Query Language. In: Proceedings of the 6th Conference on Scientific and Statistical Database Management, Ascona, Switzerland.
(8)       Zhexue Huang and Friedrich Quiel, (1992) Solving network problems using a spatial query language In Proceedings of The 4th Scandinavian Research Conference on GIS, November 22-25, 1992, Helsinki, Finland.
(9)       He, H. and Huang, Z. (1997) Boosting Neural Networks in Real World Applications: an Empirical Study.  In: Abdul Sattar, Advanced Topics in Artificial Intelligence, Lecture Notes on Artificial Intelligence 1342, Springer, pp.321-329.
(10) Williams, G. and Huang, Z. (1997) Mining the Knowledge Mine- The Hot Spots Methodology for Mining Large Real World Databases, In: Abdul Sattar, Advanced Topics in Artificial Intelligence, Lecture Notes on Artificial Intelligence 1342, Springer, pp.340-348.
(11) Ng, M. and Huang, Z. (1997) Temporal Data Mining with a Case Study of Astronomical Data Analysis, In: Proceedings of Scientific Computing'97, Lecture Notes in Computer Sciences, Springer.
(12) Ting, Jessica, Ng, Michael, Hong, Henry Hongqiang and Huang, Joshua Zhexue (2003) Statistical Models for Time Sequences Data Mining . IEEE Conference on Computational Intelligence for Financial Engineering (CIFEr2003), March 20-23, Hong Kong, China.
(13) Shen, R., Han, P., Yang, F., Yang, Q. and Huang, J. Z. (2002) An Open Framework for Smart and Personalized Distance Learning, In Proceedings of the first International Conference on Web-based Learning, August, 2002, Hong Kong, Springer.
(14) Ng, M. and Huang, J. Z (2002) M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining, Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD2002), May 6-8, 2002, Teipei.
(15) Ye, Yunming,  Ma, Fanyuan,  Lu, Yiming,  Chiu, Matthew Chiu and Huang, Joshua  (2004)  iSurfer: a Focused Web Crawler Based On Incremental Learning from Positive Samples, APWEB2004.
(16) Wu, Edmond H., Ng, Michael K. and Huang, Joshua Z. (2004) An Efficient Data Cube Model for Web Usage Analysis, APWEB2004.
(17) Wu, Edmond H., Ng, Michael K. and Huang, Joshua Z. (2004) Increasing Website Connectivity by Web-log Data Streams, In proceedings of DASFAA2004, South Korea.
(18) Gao, Y.,  Rong, H., Luo, Z., Huang, J.Z, and Tong, F. (2003) Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm, The 2 nd International Workshop on Grid and Cooperative Computing (GCC2003), December 7-10, Shanghai, China, Springer.
(19) Yang, J., Huang, J.Z. and Zhang, N. (2003) C3: A New Learning Scheme to Improve Classification of Rare Category Emails, In Proceedings of The 16th Australian Joint Conference on Artificial Intelligence - AI’03, LNAI, Springer.
(20) He, J., Rong, H., Luo, Z., Huang, J.Z. and Tong, F. (2003) Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals, In Proceedings of ICWS-Europe'03, LNCS 2853, Spronger.
(21) Ye, Yunming, Ma, Fanyuan, Rong, Hongqiang and Huang, Joshua Zhexue (2004) Enhanced Email Classification Based on Feature Space Enriching, The 9th Intl. conference on Applications of Natural Language to Information System (NLDB2004), Springer.
(22) Jing, Liping, Huang, Joshua Zhexue, Ng, Michael and Rong, Hongqing (2004) A Feature Weighting approach to building classification models by interactive clustering. Modeling  Decisions   for   Artificial  Intelligence  (MDAI 2004), Barcelona, Catalonia, Spain August, 2-4 2004, Springer-Verlag.
(23) Jin, Cheqing, Xiong, Fang, Huang, J. Z., Yu, Jeffrey and Zhou, Aoying (2004) Mining Frequent Items in Spatio-Temporal Databases. Lecture Notes in Computer Science (WAIM2004), Volume.3015, Springer-Verlag, 2004.
× 学术夏令营 招生信息