Dr Jiuyong Li

Major research grants

• ARC Discovery grant (2005 - 2007, DP0559090), Investigation and development of robust rule discovery and classification system
• ARC Discovery grant (2007 - 2009, DP0774450), Privacy preserving data sharing in data mining environment

Conference orgnization and PC committee

• Organising Chair of Australasian Data Mining Conference 2008
• Co-general chair of Australasian Data Mining Conference 2007
• Co-general chair of Australasian Data Mining Conference 2006
• PC member for SIAM International Conference on Data Mining 2009
• PC member for International workshop on privacy-preserving data analysis 2009
• PC member for International Symposium on Computer Science and its Applications, 2008 and 2009
• PC member for International workshop on privacy and anonymity in the information society 2008 and 2009.
• PC member for International conference on machine learning and cybernetics 2008.
• PC member for Asia Pacific Web Conference 2005 and 2006.
• PC member for International Conference on Active Media Technology 2006.
• PC member of Australia data mining conference 2005

Paper reviewer for

• Data Mining and Knowledge Discovery Journal
• IEEE Transactions on Knowledge and Data Engineering
• Information Systems
• IEEE Transactions on Systems, Man and Cybernetics (Part B)
• IEEE transactions on Information Technology in Biomedicine
• Knowledge and Information Systems
• Journal of Information Sciences
• Journal of Computer Methods and Programs in Biomedicine
• Journal of World Wide Web

DOWNLOAD MY PAPERS AND SOFTWARE TOOLS

• I have taught the following courses.
  • Data Mining
  • Database Systems
  ;
  • Perl Programming for Bioinformatics
  • Object Oriented Software Engineering
  • Operating Systems
  • E-Commence and Data base Integration
  • Operating Systems

• Data mining.
• Bioinformatics and Medical Inform.
• Privacy preserving.
• Intelligent systems.

Selected papers

B Liu, J Li, A Tsykin, Discovery of Functional miRNA-mRNA Regulatory Modules with Computational Methods, Journal of Biomedical Informatics, Accepted 17 January 2009. (Impact factor: 2.00)

R. Wong, J. Li, A. Fu, and K. Wang, (alpha, k)-Anonymous Data Publishing, Journal of Intelligent Information Systems, Accepted 21 Nov 2008. (Impact factor: 0.786)

J. Li, A. Fu, and P. Fahey, Efficient Discovery of Risk Patterns in Medical Data, Artificial Intelligence in Medicine, 45, 77-89, 2009. (Impact factor: 1.825)

X Sun, H Wang, J Li, T. M. Truta: Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing. Transactions on Data Privacy 1(2): 53-66 2008

Y Bu, A. Fu, R.Wong, L Chen and J. Li, Privacy Preserving Serial Data Publishing by Role Composition, International Conference on Very Large Data Bases (VLDB), 825-856, 2008. (Tier A+ ICT conference)

J Li, R Wong, A Fu, J Pei, Anonymisation by Local Recoding in Data with Attribute Hierarchical Taxonomies, IEEE transactions on knowledge and data engineering , 20(8), 1181-1194, 2008. (impact factor: 1.898)

J. Li, H Wang, H. Jin, and J. Yong, Current Developments of k-Anonymous Data Releasing, Electronic Journal of Health Informatics , 3(1), 2008,

J. Li, Robust rule based predictions, IEEE transactions on knowledge and data engineering , 18(8), 2006, 1043-1054. (impact factor: 1.898)

J. Li, On optimal rule discovery, IEEE transactions on knowledge and data engineering , 18 (4), 460-471, 2006. (impact factor: 1.898)

J Li, J Jones, Using multiple and negative target rules to make classifier more understandable, Knowledge-based Systems , 19(6), 438-444, 2006. (impact factor: 0.574)

R. Wong, J. Li, A. Fu, K. Wang, (alpha, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing, Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining (KDD) , 754-759, 2006. (Tier A+ ICT conference)

J. Li, A. Fu, H. He, J. Chen, H. Jin, D. McAullay, G. Williams, R. Sparks, C. Kelman, Mining risk patterns in medical data, Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 770-775, 2005,(Tier A+ ICT conference)

J. Li, H. Shen and R. Topor, Mining the informative rule set for prediction, Journal of Intelligent Information Systems , 22:2, 155-174, 2004. (impact factor: 0.796)

J. Li and Y. Zhang, Direct interesting rule generation, Proceedings of The Third IEEE International Conference on Data Mining (ICDM) , 155-162, 2003. (Tier A+ ICT conference)

J. Li, H. Shen and R. Topor, Mining the optimal class association rule set, Knowledge-based systems , 15(7), 399-405, 2002. (impact factor: 0.574)

J. Li, R. Topor and H. Shen, Construct robust rule sets for classification, Proceedings of the eighth ACMKDD international conference on knowledge discovery and data mining (KDD) , 564 - 569, 2002. (Tier A+ ICT conference)

J. Li, H. Shen and R. Topor, Mining the smallest association rule set for predictions, Proceedings of IEEE international conference on data mining (ICDM) , 361-368, 2001. (Tier A+ ICT conference)

Listed by DBLP (Computer Science Bibliography)

Citations by Google Scholar

Download my papers and software tools