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Xiuzhen (Jenny) Zhang

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Xiuzhen (Jenny) Zhang 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, China, 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 Twitter. • 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). San Francisco, 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
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