Gabriel Pui Cheong Fung Research Scientist School of Information Technology & Electrical Engineering The University of Queensland Office Rm. 638, Building 78, St. Lucia Campus, The University of Queensland, QLD4072, Australia Email g.fung@uq.edu.au Telephone +61 (07) 3365 8325

Dr. Gabriel Fung currently holds the title of Research Scientist in the School of Information Technology and Electrical Engineering at the University of Queensland. He received his Ph.D. degree from the Department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong. In 2005 fall, a year before his normative Ph.D. study period, Gabriel was hired by his department as a full time teaching staff. Gabriel's major research interest is data mining. Gabriel has taught postgraduate and undergraduate courses. He was one of the invited speakers to share his teaching experiences in the "Orientation for the New Teaching Assistants" in his university in 2003, and received the Best Teaching Assistant Award in 2004.
In 2004, his paper titled "Classifying Text Streams in the Presence of Concept Drifts" received the Best Student Paper Award in the 8th International Conference of Pacific-Asia Knowledge Discovery and Data Mining (PAKDD'04). In 2002, his paper titled "Event Driven Stock Trend Prediction" received the Worthwhile Mentioning Award in the ACM (Association for Computing Machinery) Postgraduate Paper Context. In the same year, his paper titled "News Sensitive Stock Trend Prediction System" received the Top Ten Papers Award in the IEE (The Institute of Electrical Engineers) Hong Kong Young Members Paper Context.
Since 2005, Gabriel is frequently invited to be the reviewer of some journals and conferences. In 2007, Gabriel is invited be the program committee member of the 11h IEEE International EODC Conference on Enterprise Computing (EODC'07), the 9th Asia-Pacific Web Conference (APWeb'07) and the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07).


List of Publications

• Journal

1. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu and Philip S. Yu. Text Classification without Negative Examples Revisit. IEEE Transaction of Knowledge and Data Engineering (TKDE), 18(1): 6 – 20, 2006. (Impact factor: 1.76)
    

2. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Hongjun Lu. The Predicting Power of Textual Information on Financial Markets. IEEE Intelligent Informatics Bulletin (IIB), 5 (1): 1 – 10, 2005

• International Conference

1. Ke Deng, Hu Xu, Shazia Sadiq, Yansheng Lu, Gabriel Fung, Hengtao Shen “On Group Nearest Group Query Processing”, In Proceedings of the 25^th International Conference on Data Engineering (ICDE'09). 2009.
    

2. Gabriel Pui Cheong Fung, Wei Lu, Xiaofang Zhou, Xiaoyoung Du. Dominant and K Nearest Probabilistic Skylines. In Proceedings of the 14^th International Conference on Database Systems for Advanced Applications (DASFAA'09). 2009.
    

3. Gabriel Pui Cheong Fung, Xiaofang Zhou. Biolism -- A System for Searching and Mining Bio-Literature. In 19th International Conference on Genome Informatics (GIW'08). 2008.
    

4. Jia Zhu, Gabriel Pui Cheong Fung, Xiaofang Zhou. A Term-based Driven Clustering Approach for Name Disambiguation. In Proceedings of the Joint International Conferences on Asia-Pacific Web Conference (APWeb) and Web-Age Information Management (WAIM) (APWeb-WAIM '09). 2009.
    

5. Wu Di, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu. Integrateing Multiple Data Sources for Stock Prediction. In Proceedings of the 9th International Conference On Web Information Systems Engineering (WISE'08). 2008. (Acceptance rate: 15%)
   
   

6. Wu Di, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu. Mining Multiple Time Series Co-Movements. In Proceedings of the 10th Asia Pacific Web Age Conference (ApWeb'08), 2008. (Acceptance rate: 18%, Best Paper Award)
   
   

7. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu. Time-Dependent Event Hierarchy Construction. In Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining (KDD'07), 2007. (Acceptance rate: 8%, 40/500)
   
   

8. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung and Huan Liu. A Balanced Ensemble Approach to Weight Classifiers for Text Classification. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), 2006. (Acceptance rate: 20%, 150/776)
   
   

9. Gabriel Pui Cheong Fung. VISE: A System for Visualizing Salient Events in a Text Stream. In Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS'06), IEEE Computer Society Press, 2006. (Acceptance rate: 45%, 70/150)
   
   

10. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Philip S. Yu, and Hongjun Lu. Parameter Free Bursty Events Detection in Text Streams. In Proceedings of the 31st International Conference on Very Large Database (VLDB'05), 2005. (Acceptance rate: 16.4%, 32/195)
      

11. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu and Philip S. Yu. Text Classification without Negative Labeled Examples. In Proceedings of the 21st International Conference of Data Engineering (ICDE'05), 2005. (Acceptance rate: 12.8%, 67/521)
     

12. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Hongjun Lu. Classifying Text Streams in the Presence of Concept Drifts. In Proceedings of the 8th International Conference of Pacific-Asia Knowledge Discovery and Data Mining (PAKDD'04), 2004. (Acceptance rate: 21.2%, 50/235, Best Student Paper Award)
     

13. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Hongjun Lu. Classifying High Speed Text Stream. In Proceedings of the 4th International Conference on Web-Age Information Management (WAIM'03), 2003. (Acceptance rate: 11.6%, 30/258)
     

14. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Wai Lam. Stock Prediction: Integrating Text Mining Approach using Real-Time News. In Proceedings of the 7th IEEE International Conference on Computational Intelligence for Financial Engineers (CIFEr'03), 2003. (Acceptance rate: 38.9%, 58/149)
     

15. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Hongjun Lu. Discriminative Category Matching: Efficient Text Classification for Huge Document Collections. In Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM'02), 2002. (Acceptance rate: 19.5%, 72/369)
     

16. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Wai Lam. News Sensitive Stock Trend Prediction. In Proceedings of the 6th International Conference of Pacific-Asia Knowledge Discovery and Data Mining (PAKDD'02), 2002. (Acceptance rate: 25.2%, 67/265)

• Book Chapter

1. Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Wai Lam. Automatic Stock Trend Prediction by Real Time News. In Advances in Data Mining and Modeling. 48 – 59, World Scientific Publishing Co. Pte. Ltd. 2002.

 
Research Interest

• Text Mining and Information retrieval

• Data Mining and Knowledge Discovery

• Time Series Mining and Forecasting (esp. Stock Market Analysis)

• Theoretical Simulation System
   

List of Courses Taught Up-To-Date

• 2007 - 2008  INFS4203 Data Mining
                       INFS7203 Data Mining (Posgraduate)

• 2006 -  2007  SEG7470 Open Systems and E-Commerce (Postgraduate)
                        SEG7430 Information Technology Management (Postgraduate)
                        SEG3490 Information Systems Management
                        SEG3410 Systems Modeling & Simulation
                        SEG2440 Engineering Economic

• 2005 -  2006 SEG7470 Open Systems and E-Commerce (Postgraduate)
                       SEG3490 Information Systems Management
                       SEG2440 Engineering Economic

• 2004 -  2005 SEG7470 Open Systems and E-Commerce (Postgraduate)
                       SEG3410 System Analysis and Design
                       SEG3550 Fundamental of Information Systems
                       SEG2440 Engineering Economic

• 2003 -  2004 SEG7470 Open Systems and E-Commerce (Postgraduate)
                       SEG7430 Information Technology Management (Postgraduate)
                       SEG3550 Fundamental of Information Systems

• 2002 -  2003 SEG4630 E-Commerce Data Mining
                       SEG3450 Introduction to E-Commerce

• 2001 -  2002 SEG3530 Engineering Innovation & Entrepreneurship
                       SEG3810 Product Development Project
                       SEG3450 Introduction to E-Commerce

Services

• Industry

• Information Systems Consultant. Pineapple Design Limited. 2006 - 2008
   

• Program Committee

• The 14^th International Conference on Database Systems for Advanced Applications (DASFAA'09)

• The 2^nd IEEE International Conference on Business Intelligence and Financial Engineering (IEEE BIFE 2009).

• The 2009 IEEE Joint Conference on Computational Sciences and Optimization (IEEE CSO 2009)

• The Joint International Conferences on Asia-Pacific Web Conference (APWeb) and Web-Age Information Management (WAIM), 2009.

• The Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD'09), 2009.

• The 10^th Asia-Pacific Web Conference (APWeb'08), 2008.

• The 9^th Asia-Pacific Web Conference (APWeb'07), 2007.

• The 11^th IEEE International EODC Conference (EODC'07), Annapolis, Maryland, U.S.A., 2007.

• The 4^th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), Haikou, China
   

• Reviewer / Invited Reviewer

• IEEE Transaction of Knowledge and Data Engineering (TKDE), 2006 – Present

• Informatica, 2006 – 2007

• Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM-07), St. Petersburg, Russia, 2007.

• International Journal of Production Economics (IJPE) Special Issue – Logistics Management in Fashion Retail Supply Chains.

• International Journal of Computers and Applications.

• Data Mining Patterns: New Methods and Applications, to be published by Idea Group Inc.

• The 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06), Guilin, China, 2006.

• The 16th European-Japanese Conference on Information Modeling and Knowledge Bases (EJC'06), Trojanovice, Czech Republic, 2006.

• The 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06), Hong Kong, China, 2006.

• The 7th International Conference on Web-Age Information Management (WAIM'06), Hong Kong, China, 2006.

• The 2006 International Conference on Control System (ICCS'06), USA, 2006.

• The 21st International Conference of Data Engineering (ICDE'05), Tokyo, Japan, 2005.
   

• Department / University

• Program Committee. The 2nd Inter-School Competition On System Modeling and Optimization (COSMO'07), the Chinese University of Hong Kong.

• Program Advisor. Executive Master of Science in Logistics and Supply Chain Management Field Study, co-organized by Tsinghua University and the Chinese University of Hong Kong.

• Program Committee Member. The 1st Inter-School Competition On System Modeling and Optimization (COSMO'06) Summer Camp, the Chinese University of Hong Kong.

• Program Advisor. Executive Master of Science in Logistics and Supply Chain Management Field Study, co-organized by Tsinghua University and the Chinese University of Hong Kong.

• Coordinator. Executive Master of Science in Logistics and Supply Chain Management  Field Study, co-organized by Tsinghua University and the Chinese University of Hong Kong.

• Referee. The 1st Internet-based Robotics Inter-School Competition, the Chinese University of Hong Kong.

• Invited Speaker. Orientation for New Teaching Assistants, the Chinese University of Hong Kong.

 
Honors and Awards

• 2007 Who's Who in AsiaTM, Marquis Who's Who®

• 2004 Best Student Paper Award, PAKDD’04

• 2004 Best Teaching Assistant Award, Department of Systems Engineering and Engineering Management, CUHK

• 2002 Worthwhile Mentioning Award, Postgraduate Paper Context '02, ACM Hong Kong Chapter

• 2002 Top Ten Papers Award, IEE Hong Kong Young Members Paper Context '02, IEE