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PhD (Deakin University)
Professor Yuefeng Li is recognized internationally in Knowledge & Data Engineering, Artificial Intelligence and Information Systems. He published 250 refereed papers (including 60 ERA A or A* journal or conference papers). He has been awarded 5 ARC discovery (he is the 1st CI for three of them) and one ARC linkage grants. He also applied data science to real-world applications through 6 CRC projects. He received 8,100 citations (h-index=46 &14 articles > 100 citations) & 10 Best Paper Awards. As a professor, he has made fundamental and influential contributions in Text Analysis, Machine Learning and AI-based Data Analysis. 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 organized 5 international conferences, and as an editor-in-chief of Web Intelligence, he overseen many articles for 8 years. 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.
- Kapugama Geeganage, D., Xu, Y. & Li, Y. (2024). A Semantics-enhanced Topic Modelling Technique: Semantic-LDA. ACM Transactions on Knowledge Discovery from Data, 18(4). https://eprints.qut.edu.au/246151
- Haque, M., Hussain, F., Ali, Y. & Li, Y. (2024). Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics. Accident Analysis and Prevention, 199. https://eprints.qut.edu.au/247461
- Berahmand, K., Li, Y. & Xu, Y. (2024). A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information. IEEE Transactions on Computational Social Systems, 11(3), 3444–3456. https://eprints.qut.edu.au/246153
- Fu, Q., Li, Y. & Albathan, M. (2023). A supervised method to enhance distance-based neural network clustering performance by discovering perfect representative neurons. Granular Computing, 8(5), 1051–1065. https://eprints.qut.edu.au/246425
- Subhashini, L., Li, Y., Zhang, J. & Atukorale, A. (2022). Integration of semantic patterns and fuzzy concepts to reduce the boundary region in three-way decision-making. Information Sciences, 595, 257–277. https://eprints.qut.edu.au/236702
- Zhang, R., Li, Y., Gui, Y. & Zhou, J. (2022). Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer. Applied Soft Computing, 127. https://eprints.qut.edu.au/234473
- 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
- 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
- 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
- Title
- Privacy Preservation over 5G and IoT Smart Devices
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP220101360
- Start year
- 2022
- Keywords
- 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
- 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
- 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
- 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
- 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 transaction 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)