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 big data era. Recently Zhong and colleagues have been working on brain big data based wisdom service project, in which the fundamental issues include how brain informatics based big data interacts in the social-cyber-physical space of the W2T and how to realize human-level collective intelligence as a big data sharing mind, a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services.

References:

    Y. Yang, N. Zhong (corresponding author), K. Imamura, S. Lu, M. Li, H. Zhou, H. Li, X. Yang, Z. Wan, G. Wang, B. Hu, K. Li. Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder. PLoS One, 18 May 2016, 10.1371/journal.pone.0155092.

    M. Li, N. Zhong (corresponding author), S. Lu, G. Wang, L. Feng, and B. Hu. Cognitive Behavioral Performance of Untreated Depressed Patients with Mild Depressive Symptoms. PLoS One, 5 January 2016, 10.1371/journal.pone.0146356.

    N. Zhong, Y. Yang, K. Imamura, S. Lu, M. Li, H. Zhou, G. Wang, and K. Li. Self-regulation of Aversive Emotion: A Dynamic Causal Model. Advances in Computational Psychophysiology, Science Supplement, 2 October 2015, 25-27.

    N. Zhong, S.S. Yau, J. Ma, S. Shimojo, M. Just, B. Hu, G. Wang, K. Oiwa, and Y. Anzai. Brain Informatics-Based Big Data and the Wisdom Web of Things. IEEE Intelligent Systems, 2015, 30(5): 2-7.

    J. Chen, J.H. Ma, N. Zhong (corresponding author), Y.Y. Yao, J. Liu, R.H. Huang, W. Li, Z. Huang, Y. Gao, and J. Cao. WaaS - Wisdom as a Service. IEEE Intelligent Systems, 2014, 29(6): 40-47.

    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, 2013, 64(3): 862-882.

    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, 2012, 24(12): 2127-2142.

    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.

    Z. Wang, J. Liu, N. Zhong (corresponding author), Y. Qin, H. Zhou, and K. Li. Changes in the Brain Intrinsic Organization in Both On-Task State and Post-Task Resting State, NeuroImage, Elsevier, 2012, 62: 394-407.

    X. Jia, P. Liang, J. Lu, Y. Yang, N. Zhong (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, J.M. Bradshaw, J. Liu, and J.G. Taylor. Brain Informatics. IEEE Intelligent Systems, 2011, 26(5): 16-21.

    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: 8 June 2016