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Dr Xiaohui Tao

Dr Xiaohui Tao
Name Xiaohui Tao
Position Senior Lecturer (Computing)
Section School of Agricultural, Computational and Environmental Sciences
Office D102
Location Toowoomba Campus
Phone +61 7 4631 1576
Extension 1576
Email
Qualifications PhD QUT
Homepage http://www.sci.usq.edu.au/staff/tao
The views expressed on staff homepages may not reflect the views of the University.

Fields of Research (FoR)

  • Artificial Intelligence and Image Processing not elsewhere classified ( 080199 )
  • Information Systems not elsewhere classified ( 080699 )

Research interests
Ontology learning and mining, Knowledge engineering, Web intelligence, Data mining, Sentiment analysis and opinion mining, Machine learning, Information retrieval

Currently teaching courses/programs
CSC1402 Foundation Computing
MAT1101 Discrete Mathematics

Teaching experience(Tertiary)
6 Years

Administrative responsibilities
Coordinator of Research Seminar

Research most recent
[1] X. Tao, Y. Li, and N. Zhong. A Personalized Ontology Model for Web Information Gathering. IEEE Transactions on Knowledge and Data Engineering, Sept 02, 2010. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.145> [ERA A journal with ISI impact factor of 3.585]

[2] X. Tao, Y. Li, and N, Zhong. A Knowledge-based Model Using Ontologies for Personalized Web Information Gathering. Web Intelligence and Agent Systems, an International Journal, 8(3), pp. 235-254, 2010. [a leading scholarly journal in the community of Web Intelligence]

[3] X. Tao, Y. Li, R. Y. K. Lau, and S. Geva. Ontology-based Specific and Exhaustive User Profiles for Constraint Information Fusion for Multi-Agents. In Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, pages 264-271, 2010, Toronto, Canada. [Regular paper, Acceptance rate: 16.6%]



Publications in ePrints

Lafta, Raid and Zhang, Ji and Tao, Xiaohui and Li, Yan and Abbas, Wessam and Luo, Yonglong and Chen, Fulong and Tseng, Vincent S. (2017) A fast Fourier transform-coupled machine learning-based ensemble model for disease risk prediction using a real-life dataset. In: 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), 23-26 May 2017 , Jeju, South Korea.

Zhang, Ji and Lafta, Raid and Tao, Xiaohui and Li, Yan and Chen, Fulong and Luo, Yonglong and Zhu, Xiaodong (2017) Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment. IEEE Access, 5 (1). pp. 10674-10685.

Zhou, Xujuan and Tao, Xiaohui and Rahman, Md Mostafijur and Zhang, Ji (2017) Coupling topic modelling in opinion mining for social media analysis. In: 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017), 23-26 Aug 2017, Leipzig, Germany.

Goh, Wee and Tao, Daniel and Zhang, Ji and Yong, Jianming (2017) Mining drug properties for decision support in dental clinics. In: 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017) , 23-26 May 2017, Jeju, South Korea .

Al-kharaz, Ali A. and Tao, Xiaohui and Zhang, Ji and Lafta, Raid (2016) Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification. In: 12th International Conference on Advanced Data Mining and Applications (ADMA 2016), 12-15 Dec 2016, Gold Coast, QLD, Australia.

View full listing in ePrints