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PhD (Deakin University)
Professor Yuefeng Li is recognised internationally in Knowledge & Data Engineering, Artificial Intelligence and Information Systems. He published 230 refereed papers (including 53 ERA A or A* journal or conference papers). He has been awarded 4 ARC discovery (he is the 1st CI for three of them) and one ARC linkage grants. He received 5,515 citations (h-index=34 &11 articles > 100 citations) & 4 Best Paper Awards. As a professor, he has made fundamental and influential contributions in Text Analysis, Ontology Engineering and Machine Learning. He has been the program leader of Information Science at QUT and a technical committee member of IEEE CIS Emerging Technologies Technical Committee, and Technical Committee on Intelligent Informatics. As a PC or Conference chair, he organised 5 international conferences. As an editor-in-chief of Web Intelligence, he oversees many articles for 4 issues per year. As an Academic Lead HDR, he is responsible for overseeing the School’s research training activities for many HDRs. He carries out research on Data mining & Knowledge Discovery, Data Engineering and Data Science, Natural Language Processing, IR & Web Search, semi- and unsupervised learning, deep learning, information modelling, management and ontologies, knowledge representation and Data structure and algorithms. His research outcomes have published in top-20 publications of Google Scholar subcategories: Data Mining & Analysis, Database & Information Systems, Artificial Intelligence, Engineering & Computer Science (in general), Fuzzy Systems, Computer Networks & Wireless Communication, including Q1 Journals: IEEE Trans. Knowl. Data Eng. (TKDE), IEEE Trans. Ind. Electron., IEEE Access, ACM Trans. Intell. Syst. Technol., Expert Systems with Applications, Information Sciences, Knowl. Based Syst. (KBS), Data Min. Knowl. Discov. (DMKD), Knowl. and Info. Syst., Int. J. Approx. Reason. (IJAR), and J. of Network and Computer Applications. And Top Conferences: ACM SIGKDD Inter. Conf. on Know. Discovery and Data Mining (KDD), IEEE Inter. Conf. on Data Mining (ICDM), IEEE Inter. Conf. on Data Science and Advanced Analytics (DSAA), Pacific-Asia Conf. on Know. Discovery and Data Mining (PAKDD), Inter. World Wide Web Conferences (WWW), Inter. Conf. on Data Engineering (ICDE), ACM Inter. Conf. on Information and Knowledge Management (CIKM).Additional information
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2012
- Details
- Best Paper Award "Personalization in Tag Ontology Learning for Recommendation Making", 14th International Conference on Information Integration and Web-Based Applications & Services, 3-5 December 2012, Ball, Indonesia.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2008
- Details
- Best Paper Award, "Web information recommendation making based on item taxonomy", 10th International Conference on Enterprise Information Systems, June 2008, Barcelona, Spain, 2008.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2007
- Details
- Outstanding Doctoral Thesis, "Knowledge discovery using pattern taxonomy model in text mining", Sheng-Tang Wu (Supervisors: Prof Yuefeng Li and A/Prof Yue Xu), QUT, 2007.
- Li, Y., Zhang, L., Xu, Y., Yao, Y., Lau, R. & Wu, Y. (2017). Enhancing binary classification by modeling uncertain boundary in three-way decisions. IEEE Transactions on Knowledge and Data Engineering, 29(7), 1438–1451. https://eprints.qut.edu.au/117109
- Li, Y., Algarni, A., Albathan, M., Shen, Y. & Bijaksana, A. (2015). Relevance feature discovery for text mining. IEEE Transactions on Knowledge and Data Engineering, 27(6), 1656–1669. https://eprints.qut.edu.au/80085
- Li, Y. & Wu, J. (2014). Interpretation of association rules in multi-tier structures. International Journal of Approximate Reasoning, 55(6), 1439–1457. https://eprints.qut.edu.au/72159
- Li, Y., Zhou, X., Bruza, P., Xu, Y. & Lau, R. (2012). A two-stage decision model for information filtering. Decision Support Systems, 52(3), 706–716. https://eprints.qut.edu.au/48242
- Zhong, N., Li, Y. & Wu, S. (2012). Effective pattern discovery for text mining. IEEE Transactions on Knowledge and Data Engineering, 24(1), 30–44. https://eprints.qut.edu.au/42066
- Tao, D., Li, Y. & Zhong, N. (2011). A Personalized Ontology Model for Web Information Gathering. IEEE Transactions on Knowledge and Data Engineering, 23(4), 496–511. https://eprints.qut.edu.au/42924
- Li, Y., Algarni, A. & Zhong, N. (2010). Mining positive and negative patterns for relevance feature discovery. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 753–762. https://eprints.qut.edu.au/42068
- Li, Y., Zhou, X., Bruza, P., Xu, Y. & Lau, R. (2008). A two-stage text mining model for information filtering. Proceedings of the ACM 17th Conference on Information and Knowledge Management (CIKM2008), 1023–1032. https://eprints.qut.edu.au/30508
- Li, Y. & Zhong, N. (2006). Mining Ontology for Automatically Acquiring Web User Information Needs. IEEE Transactions on Knowledge and Data Engineering, 18(4), 554–568. https://eprints.qut.edu.au/7047
- Li, Y. & Zhong, N. (2004). Web Mining Model and its Applications for Information Gathering. Knowledge-Based Systems, 17, 207–217. https://eprints.qut.edu.au/1231
- Title
- Web Services Reputation Management
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0776400
- Start year
- 2007
- Keywords
- Web Services; Reputation; Trust Management; Security; Quality of Service; Service Oriented Architecture
- Title
- Personalized Ontology Learning And Mining For Web Information Gathering
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP0988007
- Start year
- 2009
- Keywords
- Web intelligence; Ontology learning; Ontology mining; Information gathering; Personalization
- Title
- A Framework for Scalable Ontology Enrichment and Change
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP130102302
- Start year
- 2013
- Keywords
- Knowledge Representation; Ontology Change; Description Logics
- Title
- Learning Specific Ontology for Un-Supervised Text Classification
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP140103157
- Start year
- 2014
- Keywords
- Text feature extraction; Ontology learning; Data mining
- Towards Automated Early Prediction of Multi-Type Dementia Through Discourse Analysis
PhD, Principal Supervisor
Other supervisors: Associate Professor Yue Xu
- A Data Mining Approach to Improve the Automated Quality of Data (2014)
- A Data Mining Framework for Relevance Feature Discovery (2013)
- Personalized Ontology Learning for Enhancing Text Mining Effectiveness (2013)
- Relevance Feature Discovery For Text Analysis (2011)
- User Profiling based on Folksonomy information in Web 2.0 for Personalised Recommender Systems (2011)
- Granule-Based Knowledge Representation for Intra and Inter Association Mining (2009)
- Personalised Ontology Learning and Mining for Web Information Gathering (2009)
- Rough Set-based Reasoning and Pattern Mining for Information Filtering (2009)
- Search Engine Content Analysis (2008)
- Knowledge Discovery using Pattern Taxonomy Model in Text Mining (2007)