Personal information

medical informatics, data mining, complex network

Biography

Xuezhong Zhou is currently a professor and director of medical intelligence institute in College of Computer Science and Information Technology, Beijing Jiaotong University . He received a PhD degree in Computer Science from Zhejiang University, China and carried out postdoctoral research at China Academy of Chinese Medical Sciences. His research interests cover machine learning,data mining with focus on its application to biomedical informatics and network medicine with focus on traditional medicine and precision medicine. Particularly, he takes main efforts to develop novel computational approaches for Traditional Chinese Medicine (TCM) warehousing, knowledge discovery, modeling and evaluation, and its integration into modern biomedical information.

Activities

Employment (3)

Beijing Jiaotong University: Beijing, Beijing, CN

2014-11-30 to present | Professor (School of Computer and Information Technology)
Employment
Source: Self-asserted source
Zhou XZ

Beijing Jiaotong University: Beijing, Beijing, CN

2010-10-01 to 2014-11-30 | Associate Professor (School of Computer and Information Technology)
Employment
Source: Self-asserted source
Zhou XZ

China Academy of Chinese Medical Sciences: Beijing, CN

2005-01-01 to 2007-03-01 | postdoctoral
Employment
Source: Self-asserted source
Zhou XZ

Education and qualifications (1)

Zhejiang University: Hangzhou, Zhejiang, CN

1999-09-01 to 2005-03-01 | PhD (College of Computer Science)
Education
Source: Self-asserted source
Zhou XZ

Peer review (12 reviews for 7 publications/grants)

Review activity for ACM transactions on Asian and low-resource language information processing. (1)
Review activity for Acta pharmaceutica sinica B. (1)
Review activity for Artificial intelligence in medicine. (4)
Review activity for European journal of integrative medicine. (1)
Review activity for IEEE journal of biomedical and health informatics. (1)
Review activity for Intelligent medicine. (2)
Review activity for Knowledge-based systems. (2)