Professor Ning Zhong,  PhD

Head of Knowledge Information Systems Laboratory
Department of Life Science and Informatics
Maebashi Institute of Technology, Japan

Tel & Fax: +81-27-265-7366
E-mail: zhong at maebashi-it dot ac dot jp
URL: http://kis-lab.com/zhong/

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Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International Web Intelligence Consortium (WIC) Institute, Beijing University of Technology, China.

Prof. Zhong's present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. In 2000 and 2004, Zhong and colleagues introduced WI and BI as new research directions, respectively. Currently, he is focusing on "WI meets BI" research with three aspects: (1) systematic investigations for complex brain science problems; (2) BI studies based on WI research needs; and (3) new information technologies for supporting systematic brain science studies. The synergy between WI and BI advances our ways of analyzing and understanding of data, information, knowledge, wisdom, as well as their interrelationships, organizations, and creation processes, to achieve human-level Web intelligence reality. In 2010, Zhong and colleagues extended such a vision to develop Wisdom Web of Things (W2T) as a holistic framework for computing and intelligence in the post-WWW era.

References:

    N. Zhong and J. Chen. Constructing a New-style Conceptual Model of Brain Data for Systematic Brain Informatics. IEEE Transactions on Knowledge and Data Engineering, (2011). DOI 10.1109/TKDE.2011.139.

    N. Zhong, J.H. Ma, R.H. Huang, J.M. Liu, Y.Y. Yao, Y.X. Zhang, and J.H. Chen. Research Challenges and Perspectives on Wisdom Web of Things (W2T). Journal of Supercomputing, Springer. (2010) DOI 10.1007/s11227-010-0518-8.

    N. Zhong, Y. Li, and S.T. Wu. Effective Pattern Discovery for Text Mining. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(1): 30-44.

    N. Zhong, J.M. Bradshaw, J. Liu, and J.G. Taylor. Brain Informatics. IEEE Intelligent Systems, 2011, 26(5):16-21.

    X. Jia, P. Liang, J. Lu, Y. Yang, N. Zhong (co-corresponding author), and K. Li. Common and Dissociable Neural Correlates Associated with Component Processes of Inductive Reasoning. NeuroImage, Elsevier, 2011, 56:2292-2299.

    N. Zhong and S. Motomura. Agent-Enriched Data Mining: A Case Study in Brain Informatics. IEEE Intelligent Systems, 2009, 24(3):38-45.

    N. Zhong, J. Liu, and Y.Y. Yao. Web Intelligence (WI). The Encyclopedia of Computer Science and Engineering, Wiley, 2009, 5: 3062-3072.

    N. Zhong, J. Liu, and Y.Y. Yao. Envisioning Intelligent Information Technologies through the Prism of Web Intelligence. Communications of the ACM, 2007, 50(3):89-94.

    N. Zhong, J. Liu, Y.Y. Yao, J. Wu, S. Lu, Y. Qin, K. Li, and B. Wah. Web Intelligence Meets Brain Informatics. N. Zhong et al (eds.) Web Intelligence Meets Brain Informatics, State-of-the-Art-Survey, Springer LNCS 4845, 2007, 1-31.

    N. Zhong, Y.Y. Yao, and M. Ohshima. Peculiarity Oriented Multi-Database Mining. IEEE Transactions on Knowledge and Data Engineering, 2003, 15(4):952-960.

    N. Zhong, J. Liu, and Y.Y. Yao. In Search of the Wisdom Web. IEEE Computer, 2002, 35(11):27-31.


Zhong's Lab.
WI Consortium
   
Contact Information
Office: Knowledge Information Systems Lab.
Department of Life Science and Informatics
Maebashi Institute of Technology
460-1 Kamisadori-Cho
Maebashi-City 371-0816
Japan
Tel & Fax: +81-27-265-7366
(Inside Japan: 027-265-7366)
E-mail: zhong@maebashi-it.ac.jp
URL: http://kis-lab.com/zhong/

This page has been accessed times since 3 December 2000.
Last updated: 16 December 2011