基本信息
浏览量:783
职业迁徙
个人简介
Professor Kong’s research interests focus on data mining and big data analysis, with emphasis on addressing the data variety issues in biomedical research and social computing. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence. He has been working on mining graph data in the domains of neuroscience, biomedical informatics and social networks, and has published papers in top conferences and journals of data mining, including KDD, ICDM, SDM, WWW, WSDM, CIKM, TKDE.
研究兴趣
论文共 167 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
Proceedings of the AAAI Conference on Artificial Intelligenceno. 14 (2024): 15346-15354
AAAIno. 8 (2023): 9980-9988
引用0浏览0EI引用
0
0
CoRR (2023): 453-462
2023 IEEE International Conference on Big Data (BigData)pp.5282-5291, (2023)
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
引用0浏览0引用
0
0
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