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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 an elected Senior Member of IEEE and ACM, an active researcher in AI, and Associate Professor (Computing) in School of Sciences, 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., TKDE, KBS, ESWA, IP&M, and PRL) 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, '18, WI-IAT '21 and BESC '18 and '21. He has been an editor or guest editor in many journals including INFFUS and WWWJ, 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 )
  • Natural Language Processing ( 460208 )
  • Artificial Intelligence ( 460200 )
  • Pattern Recognition ( 460308 )
  • Artificial Life And Complex Adaptive Systems ( 460201 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Data Management And Data Science ( 460500 )
  • Computer Vision And Multimedia Computation ( 460300 )

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)

Industry affiliations
Executive Secretary, Web Intelligence Consortium
Managing Editor, Web Intelligence Journal
Editor-in-Chief, IEEE Intelligent Informatics Bulletin
Editorial Board member, Scalable Information Systems
Editorial Board member, Computers and Education: Arti ficial Intelligence, Elsevier

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
Discipline Team Leader (Computing), 2021-present
Program Director, Master of Data Science (2020-2021)
Program Director, Postgraduate Programs (Master of Science, Master of Computing, Master of Computing Technology), School of Sciences (2016-2019)

Research most recent
Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Yuefeng Li, and Haoran Xie (2021) Graph-based Multi-label Disease Prediction Model Learning from Medical Data and Domain Knowledge, to appear in Knowledge-Based Systems, (accepted on 27/10/2021, ERA, Q1)

Thomas Body, Xiaohui Tao, Yuefeng Li, Lin Li and Ning Zhong (2021) Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models. Expert Systems with Applications, 178:115033. pp. 1-12. ISSN 0957-4174 (ERA, Q1)

Wang, Ru and Li, Lin and Tao, Xiaohui and Dong, Xiao and Wang, Peipei and Liu, Peiyu (2021) Trio-based collaborative multi-view graph clustering with multiple constraints. Information Processing & Management, 58 (3):102466. pp. 1-13. ISSN 0306-4573 (ERA, Q1)

See more on: https://eprints.usq.edu.au/cgi/search/simple?screen=Search&order=&q_merge=ALL&q=xiaohui+tao&_action_search=Search


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

Pham, Thuan ORCID: https://orcid.org/0000-0001-7433-858X and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Zhang, Ji and Yong, Jianming and Li, Yuefeng and Xie, Haoran (2022) Graph-based multi-label disease prediction model learning from medical data and domain knowledge. Knowledge-Based Systems, 235:107662. pp. 1-15. ISSN 0950-7051

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 (2021) A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research. Multimedia Tools and Applications, 80. pp. 17335-17363. ISSN 1380-7501

Abduljabbar, Tamara Abdulmunim and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Zhang, Ji and Zhou, Xujuan and Li, Lin and Cai, Yi (2021) A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues. The Computer Journal, 64 (7). pp. 1104-1129. ISSN 0010-4620

Zhang, Guipeng and Xie, Haoran and Yang, Zhenguo and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X and Liu, Wenyin (2021) BDKM: a blockchain-based secure deduplication scheme with reliable key management. Neural Processing Letters. ISSN 1370-4621

Mahalle, Abhishek and Yong, Jianming and Tao, XiaohuiORCID: https://orcid.org/0000-0002-0020-077X (2021) Challenges and mitigation for application deployment over SaaS platform in banking and financial services industry. In: IEEE 24th International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2021), 5-7 May 2021, Dalian, China.

View full listing in ePrints

Approved research supervisor in the area of:

  • Expert Systems ( 080105 )
  • Pattern Recognition and Data Mining ( 080109 )
  • Natural Language Processing ( 080107 )
  • Natural Language Processing ( 460208 )
  • Artificial Intelligence ( 460200 )
  • Pattern Recognition ( 460308 )
  • Artificial Life And Complex Adaptive Systems ( 460201 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Data Management And Data Science ( 460500 )
  • Computer Vision And Multimedia Computation ( 460300 )


Research topics