基本信息
浏览量:3759
职业迁徙
个人简介
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.
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.
研究兴趣
论文共 356 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-10
COMPUTERS IN BIOLOGY AND MEDICINE (2024): 108043-108043
Artificial Intelligence Reviewno. 5 (2024): 1-63
EXPERT SYSTEMS WITH APPLICATIONSno. Part C (2024): 121765
Qiang Fu,Yuefeng Li
crossref(2024)
Scientific Reportsno. 1 (2024): 1-16
Geohazard Mechanics (2024)
Accident; analysis and prevention (2024): 107517-107517
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn