Xiuzhen (Jenny) Zhang

PhD, Associate Professor, School of Science (Computer Science and IT) RMIT University GPO Box 2476, Melbourne, VIC 3001, Australia Tel: +61-3-9925 2774, Fax: +61-3-9662 1617 Email: [email protected] URL: www.xiuzhenzhang.org

Qualifications Doctor of Philosophy (Computer Science), The University of Melbourne, Australia, 2002. Master of Engineering (Computer Science), Beijing University of Technology, , 1994. Bachelor of Engineering (Computer Engineering), North China Electric Power University, China, 1991.

Appointment History Associate Professor, School of Computer Science and IT, RMIT University, Australia, 2015 – present. Senior Lecturer, School of Computer Science & IT, RMIT University, Australia, 2007— 2014. Lecturer, School of Computer Science & IT, RMIT University, Australia, 2001—2005. Lecturer, Department of Computer Science, Beijing University of Technology, China. 1994—1998.

Awards and Honours • Best Paper Award, Haibin Zhang, Yan Wang and Xiuzhen Zhang, Efficient Contextual Transaction Trust Computation in E-Commerce Environments, 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012), 25-27 June 2012, Liverpool, UK • Outstanding Good Teaching Scale Award. College of SEH, RMIT University. 2013. • Outstanding Good Teaching Scale Award. College of SEH, RMIT University. 2012. • Travel Award, The 6th ACM KDD Conference, Boston, USA, Aug 2000. • Beijing Municipal Award for Advancement in Science and Technology, Beijing, China, Dec 1998. • University Award of Excellent Research Achievement in Science and Technology, Beijing University of Technology, Beijing China, Apr 1998.

Professional Recognition • Guest editing for journals: Lead guest editor Complexity journal (2018), Guest editor: Cognitive Systems Research (2017). • Conference Chairs: Conference Chair: 16th Annual Workshop of The Australasian Language Technology Association (ALTA’2018). Dunedin, New Zealand, 10—12 December 2018. Publication Chair: 13th International Conference on Data Mining and Advanced Applications (ADMA 2017), Singapore, 5-6 Nov 2017. • Member of program committees for conferences: PAKDD (2015--2018), ACM KDD (2016), DEXA (2009—2016), ADC (2008—2016), IJCAI (2011), AI (2009—2011), DaWak (2008), APWeb (2005, 2007), WAIM (2003, 2007). • Reviewer for journals: IEEE Transactions on Knowledge and Data Engineering(TKDE), Journal of the Association for Information Science and Technology(JASIST), Data and Knowledge Engineering (Elsevier), Knowledge and Information Systems (Springer). • Member of ACM, ACM SIGKDD, ACM SIGMOD, ACM SIGIR.

Research Grants • X. Yu and X. Zhang, Data Mining Complex Transactional and Criminal Networks. ARC Linkage. Australian Research Council. $345,000. 2012—2016. • X. Zhang, Athman Bouguettaya, Dimitrios Georgakopoulos, Kai Qin, and Xun Yi Forest Wood Products Australia Ltd. Data Curation for analytics. $20,000. 2015. • X. Zhang. A scalable and cost-effective approach to data management on the cloud. Listcorp Pty Ltd. $16,956. 2014--2015 • X. Zhang, Mark Sanderson and L. Cavedon. Effective question answer techniques for complex customer queries. MACE Engineering Group Pty Ltd. $10,000. 2014--2015. • Mark Sanderson, Timos Sellis, X. Zhang. Semantic data management. Marire Currie EU project. 2013 – 2017. • X. Zhang. Lexer social demographics. Victorian government Department of Commerce funding. $12,500. 2013. • M. Sanderson, F. Scholer and X. Zhang. Viocorp Corporation. $45,000. Analysing Viewing Logs for video recommendation. 2011. • X. Zhang. A Data Mining Approach to Predicting Protein Disorder. RMIT emerging researcher grant. $10,000, 2006.

PhD Supervision PhD completions (Names in Italics indicate as the senior supervisor): • Oshini Goonetilleke. Graph database management systems: storage, management and query processing. 2018. • David Savage. Detection of illicit behaviours and mining for contrast patterns. 2017. • Zhixin Zhou. Social media sentiment analysis. 2016. • Dariush Riazati. Dynamic integration of multidimensional data on heterogeneous data sources. 2012. • Pengfei Han. Predicting disordered regions in proteins with machine learning approaches. 2010. • Pauline Lien-Hua Chou. Efficient computation and summarization of iceberg cubes with bounding. 2005.

Current PhD supervision (Names in italics indicate as the senior supervisor): • Lishan Cui. Event detection on . • Yassien Shaalan. Social media opinion mining. • Shafiza Mohd Shariff. Information Credibility on Twitter. • Shiwei Zhang. Sentiment Analysis and Opinion Mining on the Social Media. • Husna Sarirah Husin. Web log mining. • Suliman Saleh M Aladhadh. Location-oriented information credibility analysis on Twitter. Publications

2018

Journal papers

1. Peng, Min, Jiahui Zhu, Hua Wang, Xuhui Li, Yanchun Zhang, Xiuzhen Zhang, and Gang Tian. "Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding." ACM Transactions on Knowledge Discovery from Data (TKDD) 12, no. 3 (2018): 38.

2. Liu, H. Wu, L. Zhang, D. Jian, M. and Zhang, X. 2018, 'Multi-perspective User2Vec: Exploiting re-pin activity for user representation learning in content curation social network', in Signal Processing, Elsevier BV, Netherlands, vol. 142, pp. 450-456 ISSN: 0165-1684 (SJR Q1)

3. Chen, Qingyu, Yu Wan, Xiuzhen Zhang, Yang Lei, Justin Zobel, and Karin Verspoor. "Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases." Journal of Data and Information Quality (JDIQ), Vol. 9, no. 3 (2018): 17

Conference papers

4. Peng, Min, Qianqian Xie, Yanchun Zhang, Hua Wang, Xiuzhen Zhang, Jimin Huang, and Gang Tian. "Neural Sparse Topical Coding." In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), vol. 1, pp. 2332-2340. 2018.

5. Wang, Dengbao, Li Li, Jingyuan Wang, Fei Hu, and Xiuzhen Zhang. "Extracting Label Importance Information for Multi-label Classification." In International Conference on Database Systems for Advanced Applications, pp. 424-439. Springer, Cham, 2018.

6. Wang, Dengbao, Jingyuan Wang, Fei Hu, Li Li, and Xiuzhen Zhang. "A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm." In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 81-93. Springer, Cham, 2018.

7. Kumar, Dheeraj, Yassien Shaalan, Xiuzhen Zhang, and Jeffrey Chan. “Identifying Singleton Spammers via Spammer Group Detection”. In Proc. PAKDD. 2018.

8. Shaalan, Yassien, Xiuzhen Zhang, and Jeffrey Chan. “Learning to Rank Items of Minimal Reviews using Weak Supervision”. In Proc. PAKDD. 2018.

2017

Journal papers

9. Shariff, Shafiza Mohd, Xiuzhen Zhang, and Mark Sanderson. "On the credibility perception of news on Twitter: Readers, topics and features." Computers in Human Behavior 75 (2017): 785-796. (SJR Q1) 10. Cui, L., Zhang, X., Qin, A. K., Sellis, T., & Wu, L. (2017). CDS: Collaborative distant supervision for Twitter account classification. Expert Systems with Applications, 83, 94-103. (SJR Q1)

11. Savage, D., Zhang, X., Chou, P., Yu, X., & Wang, Q. (2017). Distributed Mining of Contrast Patterns. IEEE Transactions on Parallel and Distributed Systems, 28(7), 1881-1890. (SJR Q1)

12. Zhang, X., Li, Y.,Kotagiri, R.,Wu, L.,Tari, Z.,Cheriet, M. (2017). KRNN: k rare- class nearest neighbor classification In: Pattern Recognition, 62, 33 – 44 (SJR Q1)

13. Wu, L., Wang, D., Zhang, X., Liu, S., Zhang, L., Chen, C. (2017). MLLDA: multi- level LDA for modelling users on content curation social networks In: Neurocomputing, 236, 73 – 81 (SJR Q1)

Conference papers

14. Zhang, S. Zhang, X. and Chan, J. 2017. “A word-character convolutional neural network for language-agnostic Twitter sentiment analysis”. ADCS. Brisbane Australia. 7-8 December 2017.

15. Zhang, S. Zhang, X. and Chan, J. 2017, 'Language-independent Twitter classification using character-based convolutional networks', in Advanced Data Mining and Applications: Proceedings of the 13th International Conference 2017, G. Cong, W.-C. Peng, W. E. Zhang, C. Li and A. Sun (ed.), Springer, Cham, Switzerland, pp. 413-428 (ADMA 2017: 13th International Conference on Advanced Data Mining and Applications) (Rank B)

16. Aladhadh, S. Zhang, X. and Sanderson, M. 2017, 'Beyond the culture effect on credibility perception on microblogs', in Social Informatics: Proceedings of the 9th International Conference 2017, G. L. Ciampaglia, A. Mashhadi and T. Yasseri (ed.), Springer, Oxford, United Kingdom, pp. 316-328 (International Conference on Social Informatics) (Rank B)

17. Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James Thom. Change detection from media sharing community. In Proc. APWeb-WAIM 2017: Web and Big Data. LNCS 10366, pp. 391-398. July 07-09 2017. Beijing, China. (Rank B)

18. Savage, D., Zhang, X., Wang, Q., Yu, X., Chou, P. (2017). Detection of money Laundering groups: supervised learning on small networks. In AAAI-2107 Workshop on AI and OR for Social Good (AIORSocGood-17). , USA. Feb 2017.

2016

Journals

19. Lifang Wu, Dan Wang, Xiuzhen Zhang, Shuang Liu, Lei Zhang and Chang-Wen Chen. MLLDA: multi-level LDA for modelling users on content curation social networks. Neurocomputing. Elsevier. Available online 24 November 2016. http://dx.doi.org/10.1016/j.neucom.2016.08.114 (SJR Q1)

20. Q. Chen, J. Zobel, X. Zhang and K. Verspoor. Supervised learning for detection of duplicates in genomic sequence databases. PLOS One. Published online: August 4, 2016. DOI: http://dx.doi.org/10.1371/journal.pone.0159644

21. Huang, J., Peng, M., Wang, H., Cao, J., Gao, W., & Zhang, X. (2016). A probabilistic method for emerging topic tracking in Microblog stream. World Wide Web, Published online 21 April 2016. DOI: 10.1007/s11280-016-0390-4.

Conference papers

22. F. Liu, A. Moffat, T. Baldwin and X. Zhang. Quit while ahead: evaluating truncated rankings. Proc. ACM SIGIR 2016. Pisa, Italy. July 2016. (CORE2014 A*)

23. S. M. Shariff, M. Sanderson and X. Zhang. Correlation analysis of reader’s demographics and tweet credibility perception. Proc. ECIR 2016. Padua, Italy. March 2016. (CORE2014 B)

24. L. Cui, X. Zhang, F. Salim and X. Zhou. Topical event detection on Twitter. Proc. ADC 2016. Sydney Australia. September 2016. (CORE2014 not ranked)

25. L. Cui, X. Zhang, D. D’Souza and A. Kimpton. Automatic labeling of topics via analysis via Analyis of user comments. Proc. ADC 2016. Sydney Australia. September 2016. (CORE2014 not ranked) 26. Y. Shaalan and X. Zhang. A time and opinion quality-weighted model for aggregating online riviews. Proc. ADC 2016. Sydney Australia. September 2016. (CORE2014 not ranked)

27. Lifang Wu, Dai Zhang, Xiuzhen Zhang, Yuchen Jing, Haiying Liu, Chang Wen Chen. Recommending followees based on content weighted user interest homophily. Proc. International Conference on Internet Multimedia Computing and Service (ICIMCS’16), Pages 146-151. Xi’an, China. August 19-21, 2016. DOI: https://doi.org/10.1145/3007669.3007692. (CORE 2014 rank B) Media coverage New Scientist (Technology news 17 August 2016): https://www.newscientist.com/article/mg23130871-300-australian-ai-spots-dodgy- deals-that-look-like-money-laundering/

2015

Journals

28. D. Savage, X. Zhang, X. Yu, P. Chou, and Q. Wang. Detection of opinion spam based on anomalous rating deviation. Expert Systems with Applications, Pergamon Press, United Kingdom, vol. 42, no. 22, pp. 8650-8657 ISSN: 0957- 4174. 2015. (SJR Q1) 29. H. Zhang, Y. Wang, X. Zhang and E-P Lim. ReputationPro: the efficient approaches to contextual transaction trust computation in E-commerce environments. In ACM Transactions on the Web. Vol. 9, No. 1, article 2, 49 pages, 2015. (SJR Q1)

Conferences

30. Y. Jing, L. Wu, X. Zhang, D. Wang and C. Chen. Recommending users to follow based on user taste homophily for content curation social networks. In Proceedings of 6th International Workshop on Social Recommender Systems (SRS 2015), co-located with KDD 2015. Sydney Australia. 10 Aug 2015. ((CORE2014 not ranked) 31. Z. R. Hesabi, T. Sellis, and X. Zhang. Any time concurrent clustering of multiple streams with an indexing tree. In Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 19–32, 2015 (CORE not ranked) 32. T. Goonetilleke, S. Sathe, T. Sellis, and X. Zhang. Microblogging queries on graph databases: an introspection. In Proceedings of the 3rd International Workshop on Graph Data Management Experiences and Systems (GRADES 2015), Association for Computing Machinery, , United States, pp. 1-6. 2015. (CORE2014 not ranked) 33. N.R. Sabar, X. Zhang, and A. Song. A math-hyper-heuristic approach for large- scale vehicle routing problems with time windows. In Proc. of IEEE Congress on Evolutionary Computation (CEC), pp.830-837, 25-28 May 2015. DOI: 10.1109/CEC.2015.7256977 ((CORE2014 B)

2014

Editor-reviewed journal articles

34. Goonetilleke, T. Sellis. X. Zhang, and S. Sathe. Twitter analytics: a big data management perspective. In SIGKDD Explorations. Vol. 16. Issue No 1. June 2014.

Journal papers

35. D. Savage, X. Zhang, X. Yu, P.Chou and Q. Wang. Anomaly detection in online social networks. In Social Networks. 39:62-70. 2014. Available online: http://www.sciencedirect.com/science/article/pii/S0378873314000331 DOI: 10.1016/j.socnet.2014.05.002 (SJR Q1) 36. X. Zhang, L. Cui, and Y. Wang. CommTrust: Computing multi-dimensional trust by mining E-commerce feedback comments. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 26(7): 1631—1643. July 2014. (SJR Q1) DOI bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177 37. H. Zhang, Y. Wang, and X. Zhang. The approaches to contextual transaction trust computation in E-commerce environments. Security and Communication Networks. Vol 7: 1331-1351. 2014. DOI Bookmark:http://onlinelibrary.wiley.com/doi/10.1002/sec.839/pdf (SJR Q3) 38. Wu, G. Yu, X. Yuan, X. Zhang, L. Cao. Semantic aware sport image resizing jointly using seam carving and warping. In Multimedia Tools and Applications. 70(2):721-739. Springer. 2014. (SJR Q2) Conference papers 39. S. Aladhadh, X. Zhang and M. Sanderson. Tweet author location impacts on Tweet credibility. The 19th Australasian Document Computing Symposium (ADCS 2014). Melbourne, Australia. 27—28 November 2014. (Local conference) 40. H. S. Husin, J. Thom and X. Zhang. Analysing user access to an online newspaper. The 19th Australasian Document Computing Symposium (ADCS 2014). Melbourne Autralia. 27—28 November 2014. (Local conference) 41. Z. Zhou, X. Zhang and M. Sanderson. Sentiment analysis on Twitter through domain-specific lexicon expansion. In Proc. of the 25th Australasian Database Conference (ADC 2014). Brisbane, Australia. 14—16 July 2014. (Local conference) 42. Y. Jing, X. Zhang, and L.F. Wu. Recommendation for communities on Flickr combining user ratings and item importance. In IEEE International Conference on Multimedia and Expo (ICME 2014), pp. 1-6. Chengdu, China. 14-18 July 2014. (CORE 2014 B) DOI: 10.1109/ICME.2014.6890130 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890130&isn umber=6890121 43. X. Song, J. Ji, C. Yang and X. Zhang. Ant colony clustering based on sampling for community detection. In 2014 IEEE Congress on Evolutionary Computation (CEC 2014), pp. 687—692. Beijing, China. 6-11 July 2014. ((CORE2014 B) DOI: 10.1109/CEC.2014.690036 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6900367&isnu mber=6900223 44. S. M. Shariff, X. Zhang and M. Sanderson. User perception of information credibility of news on Twitter. In Proc. of 36th European Conference on Information Retrieval (ECIR 2014). LNCS 8416. Amsterdam. 13--16 Apr, 2014. ((CORE2014 B) Available online: http://www.springer.com/computer/database+management+%26+information +retrieval/book/978-3-319-06027-9

Before 2014 …… Scholarly books/Scholarly book chapters 45. Q. Wang, X. Yu and X. Zhang. A connectionist model-based approach to centrality discovery in social networks. In Behaviour and Social Computing. LNAI 8178. pp. 82- 94. ISBN: 978-3-319-04047-9 (Print) 978-3-319-04048-6 (Online). 2013. 46. X. Zhang, and G. Dong. Overview and analysis of contrast pattern-based classification. In Contrast Data Mining: Concepts, Algorithms and Applications, Chapman and Hall/CRC, Florida, US, pp. 151-170 ISBN: 9781439854327. 2013. Refereed journal papers 47. X. Zhang, L. Cui, and Y. Wang. CommTrust: Computing multi-dimensional trust by mining E-commerce feedback comments. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 26(7): 1631—1643. July 2014. Published online November 2013. DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.177 (IF 2.476) 48. J Ji, X. Song, C. Liu, and X. Zhang. Ant colony clustering with fitness perception and pheromone diffusion for community detection in complex networks. In Physica A: Statistical Mechanics and its Applications, Elsevier, Netherlands, vol. 392, no. 15, pp. 3260-3272 ISSN: 0378-4371. 2013. (IF 1.785) 49. H. Zhang, Y. Wang, and X. Zhang. The approaches to contextual transaction trust computation in E-commerce environments. Security and Communication Networks. Vol 7: 1331-1351. 2014. DOI: http://onlinelibrary.wiley.com/doi/10.1002/sec.839/pdf (IF 0.433) 50. L. Wu, G. Yu, X. Yuan, X. Zhang, L. Cao. Semantic aware sport image resizing jointly using seam carving and warping. In Multimedia Tools and Applications, 70(2):721- 739. Springer. 2014. (IF 1.331) 51. P. Han, X. Zhang and Z.-P. Feng. Predicting disordered regions in proteins using the profiles of amino acid indices. In BMC Bioinformatics 2009, 10 (Suppl 1): S42, pp. 1- 8. 30 Jan 2009. (IF 2.435). 52. P. Han, X. Zhang, R. S. Norton and Z.-P. Feng. Large-scale prediction of long disordered regions in proteins using random forests. In BMC Bioinformatics 2009. 10:8, pp. 1-9. 07 Jan 2009. (IF 2.435). 53. H. Zhang and X. Zhang. Comments on "Data mining static code attributes to learn defect predictors". In IEEE Transactions on Software Engineering. 33(9):635-636. September 2007. (IF 2.292) 54. X. Zhang, P. Chou and G. Dong. Efficient computation of iceberg cubes by bounding aggregate functions. In IEEE Transactions on Knowledge and Data Engineering. 19(7):903-918, July 2007. (IF 2.476) 55. Z.-P. Feng, X. Zhang, P. Han, N. Arora, R. F. Anders, and R. S. Norton. The abundance of IUPs in the Malarial Proteome. Molecular and Biochemical Parasitology. 150, 256--267. 2006. 56. P. Han, X. Zhang, R. Norton and Z.-P. Feng. Predicting disordered regions in proteins based on decision trees of reduced amino acid composition. Journal of Computational Biology. 13(9):1579--1590. 2006. 57. X Zhang and J Fong. Translating updatae operations from relational to object-oriented databases. Information and Software Technology, 42(3): 197-210, 2000. 58. X Zhang, Y Zhang, J Fong and X Jia. Transforming RDB schema into well-structured OODB schema. Information and Software Technology, 41(5): 275-281, 1999.

Refereed conference papers 59. X. Zhang and Y. Li. A positive-biased nearest neighbor algorithm for imbalanced classification. The Proc. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013). LNCS vol. 7819. Pp293—304. ISSN: 0302-9743. Gold Coast, Australia. 14-17 April, 2013. 60. Q. Wang, X. Yu, and X. Zhang. A novel connectionist method for centrality measurement in social networks. In Proc. of IJCAI workshop on Behavior and Social Informatics and Computing (BSIC’13), Beijing, China. LNCS. August 2013. 61. L. Cui, X. Zhang, Y. Wang and L. Wu. Mining E-commerce feedback comments for dimension rating profiles. The 9th International Conference on Advanced Data Mining and Applications (ADMA-2013). Zhejiang China. LNCS. Dec 2013. (ERA2010 Rank B) 62. H. Zhang, Y. Wang and X. Zhang. A trust vector approach to transaction context- aware trust evaluation in E-commerce and E-service environments. The 5th IEEE International Conference on Service-oriented Computing and Applications (SOCA 2012). Taipei, Taiwan. 17-19 December 2012. 63. X. Zhang, Y. Zhou. J. Bailey and K. Ramamohanarao. Sentiment analysis by augmenting expectation maximization with lexical knowledge. The 13th International’s Conference on Web Information Systems Engineering (WISE 2012). Paphos, Cyprus. 28-30 November. 2012. 64. H. Zhang, Y. Wang and X. Zhang. Efficient contextual transaction trust computation in E-commerce environments. In Proc. of the 11th In’l Conf. on Trust, Security and Privacy in Computing and Communications (TrustCom’12). Liverpool, UK. June 2012. Best Paper Award. 65. Z. Zhou, X. Zhang and P. Vines. Sentiment classification of blog posts using topical extracts. In Proc. of the 23rd Australasian Database Conference (ADC’2012), pp. 71- 80. Melbourne, Australia. January 2012. 66. X. Zhang and Y. Zhou. Holistic approaches to identifying the sentiment of blogs using opinion words. In Proc. of the 12th International Conference on Web Information Systems Engineering (WISE’2011), pp. 15—28. Sydney Australia. October 2011. 67. D. Riazati, J. Thom and X. Zhang. Enforcing strictness in integration of dimensions: beyond instance Matching. In Proc. of the 14th ACM International Workshop On Data Warehousing and OLAP (DOLAP’2011), pp. 9-16. Glasgow, Scotland, UK. October 2011. 68. H. Zhang, Y. Wang, X. Zhang: Transaction similarity-based contextual trust evaluation in e-commerce and e-service environments. In Proc. of the 9th IEEE International Conference on Web Services (ICWS’2011), pp. 500-507. Washington DC, USA. July 2011. 69. Y. Li and X. Zhang. Improving k nearest neighbour with exemplar generalization for imbalanced classification. In Proc. of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’2011), Part II, LNAI 6635, pp. 321—332. Shenzhen China. May 2011. 70. X. Zhang and Y. Li. An empirical study of learning from imbalanced data. In Proc. of the 22nd Australasian Database Conference (ADC’2011), pp. 85—94. Perth Australia. Jan 2011. 71. Z. Zhou, X. Zhang and P. Vines. Seeing the forest from trees: blog retrieval by aggregating post similarity scores. In Proc. of the fifteenth Australasian Document Computing Symposium (ADCS’2010), pp. 12—19. Melbourne Australia. Dec 2010. 72. D. Riazati and J. Thom and X. Zhang. Inferring aggregation hierarchies for integration of data marts. In Proc. of the 21th International Conference on Database and Expert Systems Applications (DEXA’ 2010), LNCS 6262, pp. 96—110. Bilbao, Spain, 30 Aug – 3 Sep, 2010. 73. X. Zhang and Z. Zhou and M. Wu. Positive, negative, or mixed? Mining blogs for opinions. In Proc. of the 14th Australasian Document Computing Symposium (ADCS’2009), pp.141-144. Sydney, Australia. Dec 2009, Best Short Paper Award. 74. C. Pang, X. Zhang, Y. Zhang and K. Ramamohanarao. The efficient maintenance of access roles with role hiding. In Proc. of the 14th International Conference on Management of Data (COMAD’2008), pp. 139-149. Mumbai, India. December 2008. 75. D. Riazati, J. Thom and X. Zhang. Drill-across and visualization of cubes with non-confirmed dimensions. In Proc. of the 19th Australasian Database Conference (ADC'2008), pp.85-93. Wollonggong, Australia, 22-25 Jan 2008. 76. H. Zhang, X. Zhang and M. Gu. Predicting defective software components from code complexity measures. In Proc. of the 13th IEEE Pacific Rim Dependable Computing conference, Melbourne, Australia. IEEE Press, pp. 93-96. 17-19 December 2007. 77. P. Han, X. Zhang, R. S. Norton and Z.-P. Feng. Reducing overfitting in predicting intrinsically unstructured proteins. In Proc. of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2007), LNAI 4426, pp. 515-522. Nanjing, China, May 2007. 78. Stewart and X. Zhang. Building a disordered protein database: a case study in managing biological data. In Proc. of the 18th Australasian Database Conference (ADC'2007), pp. 151-160. Ballarat, Australia, Jan 2007. 79. X. Zhang and P. Chou. Multiway pruing for efficient iceberg cube computation. In Proc. 17th Int'l Conf. on Database and Expert Systems Applications (DEXA 2006), LNCS 4080, pp.203--212. Krakow Poland, Sep 2006. 80. X. Zhang, P. Chou and K. Ramamohanarao. Computing iceberg quotient cubes with bounding. In Proc. 8th Int'l Conf. on Data Warehousing and Knowledge Discovery (DaWak 2006), LNCS 4081, pp. 145--154. Krakow Poland, Sep 2006. 81. P. Han, X. Zhang, Z. Feng and R. S. Norton. Predicting intrinsically unstructured proteins based on amino acid composition. In S.J. Simoff, G.J. Williams, J. Galloway and I. Kolyshina editors, Proc. 4th Australasian Data Mining Conference, pp. 131—140. Sydney, Australia, Dec 2005. 82. L. Chou and X. Zhang. Muti-way iceberg cubing on trees. In A.H.H. Ngu, M. Kitsuregawa, E.J. Neuhold, J.-Y. Chung and Q.Z. Sheng editors, Proc. 6th Int'l conference on Web Information Systems Engineering (WISE 2005), LNCS 3806, pp. 620—622. New York, USA, Nov 2005. 83. L. Chou and X Zhang. Computing complex iceberg cubes by multiway aggregation and bounding. In Proc. 6th Int. Conf. Data Warehousing and Knowledge Discovery (DaWak 2004), LNCS 3181, pp. 108—117. Zaragoza Spain, September 2004. 84. C. Pang, K. Taylor, X. Zhang and M. Cameron. Generating multidimensional schemata from relational aggregation queries. In X. Zhou, S. Su, M.P. Papazoglou, M.E. Orlowska, K.G. Jeffery editors, Proc. 5thInternational Conf. on Web Systems Engineering (WISE 2004), pp. 584—589. Brisbane Australia, Nov 2004. 85. L. Sun and X. Zhang. Efficient frequent pattern mining on Web logs. In J.X. Yu, X. Lin, H. Lu, and Y. Zhang editors, Proc. 6th Asia Pacific Web Conference (APWeb 2004), LNCS 3007, pp. 533—542. Hangzhou China, April 2004. 86. Q. Sun, X. Zhang, and K. Ramamohanarao. The noise tolerance of EP-based classifiers. In T.D. Gedeon and L.C.C. Fung editors, Proc. 16th Australian Conference on Artificial Ingelligence( AI 2003), LNAI 2903, 796—806. Perth Australia, December 2003. 87. L. Chou and X. Zhang. Efficiently computing iceberg cubes with complex constraints through bounding. In K.-Y. Whang, J. Jeon, K. Shim, and J. Srivastava editors, Proc. 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), LNAI 2637, pp. 423—429. Seoul Korea, Apr 2003. 88. L. Chou and X. Zhang. Efficiently computing the top N averages in iceberg cubes. In M.J. Oudshoorn editors, Proc. 26th Australasian Computer Science Conference (ACSC 2003), pp. 101—109. Adelaide Australia, Feb 2003. 89. X Zhang, G Dong, and K Ramamohanarao. Building Behaviour Knowledge Space to Make Classification Decision. In D. Cheung, G.J. Williams, and Q. Li editors, Proc. of 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2001), LNAI 2035, pp. 488—494. Hong Kong, 2001. 90. X Zhang, G Dong, and K Ramamohanarao. Information-based Classification by Aggregating Emerging Patterns. In Proc. of the 2nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2000), LNCS 1983, pages 48-53, Hong Kong China, December 2000. 91. X Zhang, G Dong, and K Ramamohanarao. Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. In Proc. of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2000), pages 310-314, Boston, USA, August 2000. 92. G Dong, X Zhang, L Wong and J Li. CAEP: Classification by aggregating emerging patterns. In Proc. of the 2nd International Conference on Discovery Science (DS 99), LNAI 1721, pages 30-42, Tokyo, Japan, December 1999. 93. J Li, X Zhang, G Dong, K Ramamohanarao, and Q Sun. Efficient Mining of High Confidence Association Rules without Support Thresholds. In Proc. of 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 1999), Prague, Czech Republic, September 1999. 94. G Dong, J Li, and X Zhang. Discovering jumping emerging patterns and experiments on real datasets. In Proc. of 9th International Database Conference (IDC'99), Hong Kong, July 1999. 95. X. Zhang and J. Fong. A distributed object database's basic design issues. International Hong Kong Computer Society Database Workshop, pp. 324--330, Hong Kong, Apr 1996.

Patent • G. Dong, X. Zhang, J. Li and L. Wong. Method and apparatus for classification of data by aggregating emerging patterns. United States Patent Number 6,507,843. Date Issued: January 14, 2003.