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Assoc Prof Xiaohui Tao

Assoc Prof Xiaohui Tao
Name Xiaohui Tao
Position Associate Professor (Computing)
Section School of Sciences
Office D102
Location Toowoomba Campus
Phone +61 7 4631 1576
Extension 1576
Email
Qualifications PhD QUT
Homepage https://tao-xiaohui.info
The views expressed on staff homepages may not reflect the views of the University.

Dr. Xiaohui Tao is Associate Professor of Computing with School of Sciences, Faculty of Health, Engineering and Sciences at University of Southern Queensland (USQ), Australia. His research interests include data analytics, machine learning, knowledge engineering, information retrieval, and health informatics. During his research career, Tao gained a wealth of knowledge and experience in dealing with massive data sets and delivering solutions to complex research problems. He developed many innovative models, methods and systems, such as a multi-disease recommender system, a clinic decision support system for personalized and evidence-based medicine, a heterogeneous information graph model for health risk prediction, an algorithm to detect potential mental issues using sentiment analysis and natural language processing techniques, and an ontology learning and mining model for personalized information gathering, and made contributions to the areas such as Knowledge Engineering, Text Mining and Information Retrieval and Health informatics. The research outcomes have been published on many top-tier journals (e.g., IEEE TKDE, KBS and WWWJ) and conferences (e.g., ICDE, CIKM, PAKDD and WISE). A/Prof. Tao is an Endeavour Research Fellow in 2015-16 and was awarded with Research Award by Department of Mathematics and Computing, USQ in 2012 and the Dean's Award for Academic Excellence by Faculty of Science and Technology at QUT in 2009. A/Prof. Tao has been active in professional services. He has served PC Chair in WI '17 and '18 and BESC '18. He has been an editor or guest editor in many journals including WIJ, WWWJ, and INFFUS, and also been a regular reviewer in many top-ranking journals such as TKDE, TPDS, Neural Networks, and Knowledge Based Systems. Dr. Tao has also been actively participating in tertiary education ever since 2005 and taught a variety of IT/IS subjects. Currently, he is leading the Data Mining and Analytics (DMA) Group in School of Sciences, USQ and is the Principal Supervisor of a number of PhD and Research Master students.


Fields of Research (FoR)

  • Expert Systems ( 080105 )
  • Pattern Recognition and Data Mining ( 080109 )
  • Natural Language Processing ( 080107 )

Research interests
Natural Language Processing, Knowledge engineering, knowledge management, Data mining, Data Analytics, Information retrieval, Health Informatics

Professional memberships
Association for Computing Machinery (ACM)
Institute of Electrical and Electronics Engineers (IEEE)
IEEE Computer Society
IEEE Technical Committee on Intelligent Informatics
Web Intelligence Consortium (WIC)

Currently teaching courses/programs
MSC8001 Research Project I (2017 - present)
MSC8002 Research Project II (2017 - present)
MSC8003 Industry Based Research Practice I (2016 - present)
MSC8004 Industry Based Research Practice II (2016 - present)
CSC8600 Advanced ICT Professional Project (2017 – present)
CSC3600 ICT Professional Project (2013 – present)
CSC1401 Foundation Programming (2011-2017)
CSC1402 Foundation Computing (2011 – 2016)

Teaching experience(Tertiary)
16 Years

Administrative responsibilities
Program Director, Master of Data Science (2020-present)
Program Director, Postgraduate Programs in School of Sciences (2016-2019)

Research most recent
1. Christopher Kok, V Jahmunah, Shu Lih Oh , Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, and U Rajendra Acharya, Automated Prediction of Sepsis Using Temporal Convolutional Network, Computers in Biology and Medicine, 2020 [doi:10.1016/j.compbiomed.2020.103957]

2. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Feature-based Learning in Drug Prescription System for Medical Clinics, Neural Processing Letters, 2020 [doi: 10.1007/s11063-020-10296-7]

3. Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie and Tianyong Hao, A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research, Multimedia Tools and Applications, 2020 [Q1][doi: 10.1007/s11042-020-09062-7]

4. Ji Zhang, Leonard Tan, Xiaohui Tao, Thuam Pham and Bing Chan, Rational Intelligence Recognition in Online Social Networks - A Survey, Computer Science Review, volume 35, Feb 2020 [Q1][doi: 10.1016/j.cosrev.2019.100221]

5. Raid Luaibi Lafta, Ji Zhang and Xiaohui Tao, A General Extensible Learning Approach for Multi-Disease Recommendations in a Telehealth Environment, Pattern Recognition Letters, Elsevier, Volume 132, page 106-114, April 2020 [Q1][doi: 10.1016/j.patrec.2018.11.006]

6. Moloud Abdar, Mariam Zomorodi-Moghadam, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Prabal D Barua and Rashmi Gururajan, A new nested ensemble technique for automated diagnosis of
breast cancer, Pattern Recognition Letters, Elsevier, Volume 132, page 123-131, April 2020 [Q1] [doi:10.1016/j.patrec.2018.11.004]

7. Xiaohui Tao, Thuan Pham, Ji Zhang, Jianming Yong, Wee Pheng Goh, Wenping Zhang, Yi Cai, Mining Health Knowledge Graph for Health Risk Prediction, World Wide Web Journal, 2020 [ERA
A][doi: 10.1007/s11280-020-00810-1]

8. Xiaohui Tao, Wee Pheng Goh, Ji Zhang, Jianming Yong, Elizabeth Z. Goh, Xueling Oh, Mobile-based Learning of Drug Prescription for Medical Education using Artificial Intelligence Techniques, International Journal of Mobile Learning and Organisation, InderScience, 2020 [Q1]

9. Thuan Pham, Xiaohui Tao, Ji Zhang and Jianming Yong, Constructing a Knowledge-based Heterogeneous Information Graph for Medical Health Status Classi cation, Health Information Science and Systems, Springer, volume 8, Article number: 10, 2020. [Q1][doi: 10.1007/s13755-020-0100-6]

10. Da Ren, Pengfei Zhang, Qing Li, Xiaohui Tao, Junying Chen and Yi Cai, A Hybrid Representation Based Similar Component Extraction, Neural Computing and Applications, 2020. [Q1][doi: 10.1007/s00521-020-04818-6]


Research most notable
1. Xiaohui Tao, Yuefeng Li, and Ning 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, [doi:10.1109/TKDE.2010.145] [Scopus citation: 81, accessed on 11 Sep 2020]

2. Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, and Xiaohui Tao. Connecting users and items with weighted tags for personalised item recommendations. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (Hypertext 2010), pages 51-60, 2010. [Scopus citation: 61, accessed on 11 Sep 2020]

3. Xujuan Zhou, Xiaohui Tao, Jianming Yong, and Zhenyu Yang. Sentiment Analysis on Tweets for Social Events. In Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 557-562, 2013. [Scopus citation: 56, accessed on 11 Sep 2020]


Publications in ePrints

Chen, Xieling and Zhang, Xinxin and Xie, Haoran and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Wang, Fu Lee and Xie, Nengfu and Hao, Tianyong (2020) A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research. Multimedia Tools and Applications. ISSN 1380-7501

Ren, Da and Zhang, Pengfei and Li, Qing and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Chen, Junying and Cai, Yi (2020) A hybrid representation based simile component extraction. Neural Computing and Applications. ISSN 0941-0643

Nabi, Faisal and Yong, Jianming and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X (2020) A security review of event-based application function and service component architecture. International Journal of Systems and Software Security and Protection, 11 (2). pp. 58-70. ISSN 2640-4265

Zhou, Xujuan and Gururajan, Raj and Li, Yuefeng and Venkataraman, Revathi and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Bargshady, GhazalaORCID: https://orcid.org/0000-0002-2557-7928 and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A survey on text classification and its applications. Web Intelligence. pp. 1-12. ISSN 2405-6456

Kok, Christopher and Jahmunah, V. and Oh, Shu Lih and Zhou, Xujuan and Gururajan, Raj and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Cheong, Kang Hao and Gururajan, Rashmi and Molinari, Filippo and Acharya, U. Rajendra (2020) Automated prediction of sepsis using temporal convolutional network. Computers in Biology and Medicine:103957. pp. 1-23. ISSN 0010-4825

View full listing in ePrints