Journals, Book Chapters and Reports

 

  1. Ji Zhang, Qigang Gao, Hai Wang and Hua Wang. Detecting Anomalies from High-dimensional Wireless Network Data Streams: A Case Study. Soft Computing, Springer Publishing, 2010. (Impact Factor: 0.984)
  1. Ji Zhang, Qigang Gao and Hai Wang. Outlying Subspace Detection in High-dimensional Space. Encyclopedia of Database Technologies and Applications (2nd Edition), Idea Group Publisher, 2009. (Book Chapter)
  1. Ji Zhang, Qigang Gao and Hai Wang. Discover gene specific local co-regulations from time-course gene expression data. Scientific Programming, special issue on Bioinformatics, 16(1): 31-47, IOS Press, 2008. (Impact Factor: 0.342)
  1. Ji Zhang, Han Liu, Tok Wang Ling, Robert M. Bruckner and A Min Tjoa. An Efficient Framework for Association Rule Mining in XML Data. Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, IGI-Global Publisher, 2008.(Book Chapter)
  1. Ji Zhang. A Review of Ontology and Web Service Composition. Technical Report, CSIRO ICT Centre, 2008. 
  1. Ji Zhang and Hai Wang. Detecting Outlying Subspaces for High-dimensional Data: the New Task, Algorithms and Performance. Knowledge and Information Systems: An International Journal (KAIS), Vol. 10, No.3, Pages 333-355, Springer-Verlag Publisher London, 2006. (Impact Factor: 1.733)
  1. Ji Zhang, Han Liu, Tok Wang Ling, Robert M. Bruckner and A Min Tjoa. An Efficient Framework for Association Rule Mining in XML Data. Journal of Database Management (JDM), Vol. 17, No. 3, Idea Group Publisher, 2006.(Impact Factor: 2.000)
  1. Ji Zhang, Wynne Hsu and Mong Li Lee. Clustering in Dynamic Spatial Databases. Journal of Intelligent Information Systems (JIIS), 24(1): 5-27, Kluwer Academic Publisher, 2005.(Impact Factor: 1.075)
  1. Ji Zhang and Han Liu. D-GridMST: Clustering Large Distributed Spatial Databases. Classification and Clustering for Knowledge Discovery, Springer-Verlag Publisher, 2005. (Book Chapter)
  1. Wynne Hsu, Mong Li Lee and Ji Zhang. Image Mining: Trends and Developments. Journal of Intelligent Information Systems (JIIS), 19 (1): 7-23, Kluwer Academic Publisher, 2002.(Impact Factor: 1.075)
  1. Ji Zhang, Wynne Hsu and Mong Li Lee. FASTCiD: FAST Clustering In Dynamic spatial databases, Technical Report, National University of Singapore, 2002.

 

 Conferences and Workshops

 

12. Ji Zhang, Stijn Dekeyser, Hua Wang and Yanfeng Shu. DISTRO: A System for Detecting Global Outliers from Distributed Data Streams with Privacy Protection. 15th International Conference on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, 2010.

13.  Ji Zhang, Qing Liu and Kai Xu. FlowRecommender: A Workflow Recommendation Technique for Process Provenance. 8th Australasian Data Mining Conference (AusDM'09), Melbourne, Australia, 2009.

14. Kai Xu, Rohan Williams, Seok-Hee Hong, Qing Liu, and Ji Zhang. Semi-Bipartite Graph Visualization for Gene Ontology Networks. 17th International Symposium on Graph Drawing (GD'09), Chicago, USA, 2009. 

15. Ji Zhang, Qigang Gao, Hai Wang, Qing Liu and Kai Xu. Detecting Projected Outliers in High-dimensional Data Streams. 20th International Conference on Database and Expert Systems Applications (DEXA'09), Linz, Austria, 2009.

16. Ji Zhang, Qing Liu and Kai Xu. Gene Specific Co-regulation Discovery: An Improved Approach. 2009International Conference on Computational Intelligence (ICCS'09), Baton Rouge, USA, 2009.

17. Athman Bouguettaya, Mark Hepburn, Qing Liu, Kai Xu and Ji Zhang. Bio-Sense: A System for Supporting Sharing and Exploration in Bioinformatics Using Semantic Web Services.4th IEEE International Conference on eScience (eScience'08), IEEE Computer Society, Indianapolis, IN, USA, 2008. 

18. Ji Zhang, Qigang Gao and Hai Wang. SPOT: A System for Detecting Projected Outliers from High-dimensional Data Streams.24th IEEE International Conference on Data Engineering (ICDE'08), IEEE Computer Society, Cancun, Mexico, 2008. 

19. Ji Zhang, Qing Liu, Kai Xu and Paulo de Souza. Gene Specific Co-regulation Discovery from Gene Microarray Data.19th International Conference on Genome Informatics (GIW'08), Gold Coast, Australia, 2008.

20. Ji Zhang, Qigang Gao and Hai Wang. Anomaly Detection in High-dimensional Network Data Streams: A Case Study.2008 IEEE International Conference on Intelligence and Security Informatics (ISI'08), IEEE Computer Society, Taipei, Taiwan, 2008.

21.  Athman Bouguettaya, Mark Hepburn, Qing Liu, Kai Xu, and Ji Zhang. Semantic Web Service System for Bioinformatics Provenance and Sharing, CSIRO ICT Centre Conference, Sydney, 2008.

22. Ji Zhang, Qigang Gao and Hai Wang. A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm.2006 IEEE International Conference on Data Mining (ICDM'06), IEEE Computer Society, Hong Kong, China, 2006. (One of best student papers, IEEE ICDM Student Travel Award!)

23. Ji Zhang, Qigang Gao and Hai Wang. Outlier Detection in High-dimensional Data Streams. 5th Dalhousie Computer Science In-house Conference (DCSI'07), Halifax, Canada, 2007.

24. Ji Zhang, Qigang Gao and Hai Wang. Discover Gene Specific Co-regulations in Time-course Gene Expression Data Using Progressive Genetic Algorithm.18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), IEEE Computer Society, Washington D. C, USA, 2006.

25. Ji Zhang, Wei Wang, Han Liu and Sheng Zhang. X-Warehouse: Building Query Pattern-driven Data Warehouse.14th International World Wide Web Conference (WWW'05), Association for Computing Machinery (ACM), Chiba, Japan, 2005.

26. Sheng Zhang, Ji Zhang, Han Liu and Wei Wang. XAR-Miner: Efficient Association Rules Mining for XML Data.14th International World Wide Web Conference (WWW'05), Association for Computing Machinery (ACM), Chiba, Japan, 2005.

27. Ji Zhang. Detecting Outlying Subspaces for High-Dimensional Data: A Heuristic Search Approach.SIAM International Workshop on Feature Selection for Data Mining, in conjunction with 2005 SIAM International Conference on Data Mining (SDM'05), Newport Beach, CA, USA, 2005.

28. Ji Zhang, Wei Wang and Sheng Zhang. A Color Indexing Scheme Using Two- Level Clustering Processing for Effective and Efficient Image Retrieval.2005 International Conference on Data Mining (DMIN'05), Las Vegas, USA, 2005.

29. Wei Wang,  Ji Zhang and Hai Wang. Grid-ODF: Detecting Outliers Effectively and Efficiently in Large Multi -dimensional Databases.2005 IEEE International Conference on Computational Intelligence and Security (CIS'05), IEEE (Hong Kong) Computational Intelligence Chapter, Xi'an, China, 2005.

30. Ji Zhang, Meng Lou, Tok Wang Ling and Hai Wang. HOS-Miner: A System for Detecting Outlying Subspaces of High-dimensional Data.30th International Conference on Very Large Data Bases (VLDB'04), Toronto, Canada, 2004.

31. Ji Zhang, TokWang Ling, Robert. M. Bruckner and Han Liu. PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases.15th International Conference on Database and Expert Systems Applications (DEXA'04), Zaragoza, Spain, 2004.

32. Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A Min Tjoa and Han Liu. On Efficient and Effective Association Rule Mining in XML Data.15th International Conference on Database and Expert Systems Applications (DEXA'04), Zaragoza, Spain, 2004.

33. Han Liu, Rafal Kustra and Ji Zhang. A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data. 2004 International Conference on Artificial Intelligence (ICAI'04), Las Vegas, Nevada, USA, 2004.

34. Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra. Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis. 2004 International Conference on Artificial Intelligence (ICAI'04), Las Vegas, Nevada, USA, 2004.

35. Han Liu, Rafal Kustra, Ji Zhang. A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data. 2004 International Conference on Artificial Intelligence (ICAI'04), Las Vegas, Nevada, USA, 2004.

36. Ji Zhang and Han Liu. An Effective and Efficient Data Cleaning Technique in Large Databases. International Conference on Knowledge Engineering (IKE'04), Las Vegas, Nevada, USA, 2004.

37. Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra: Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis. 2004 International Conference on Artificial Intelligence (ICAI'04), Las Vegas, Nevada, USA, 2004.

38. Ji  Zhang, Tok Wang Ling, Robert M. Bruckner and A Min Tjoa. Building XML Data Warehouse Based on Frequent Patterns in User Queries.5th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'03), Czech Republic, 2003.

39. Ji Zhang and Yue Cao. D-GRIDMST: Clustering Large Distributed Spatial Databases. 2002 International Conference on Scientific and Engineering Computing (IC-SEC'02), Singapore, 2002. 

40. Ji Zhang, Wynne Hsu and Mong Li Lee. An Information-driven Framework for Image Mining.12th International Conference on Database and Expert Systems Applications (DEXA'01), Munich, Germany, 2001.

41. Ji Zhang, Wynne Hsu and Mong Li Lee. Image Mining: Issues, Frameworks and Techniques.2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01), in conjunction with 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'01), ACM Press, San Francisco, CA, USA, 2001. (One of best papers, invited for journal publication in JIIS!)

 

Other Publications

 

42. Ji Zhang. Towards Outlier Detection for High-dimensional Data Streams Using Projected Outlier Analysis Strategy, Ph.D. Thesis, Dalhousie University, Canada, 2008.

43. Ji Zhang. Incremental Clustering of High-dimensional Image Databases, Master Thesis, National University of Singapore, Singapore, 2002.

44. Ji Zhang. A Study on Long-term Economic Development for Small Enterprises in Jiangsu Province, Bachelor Thesis, Southeast University, China, 2000.