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  WANG Shoujue  王守觉
  Division of Nanobionic Research
  CAS Member, Professor
  Pattern recognition; Computer graphics; Digital Iamge processing

Research Interest:
  1. High-dimensional imaginal geometry and biomimetic Informatics and its application;
  2. Biomimetic pattern recognition;
  3. 3D image morphing;
  4. Automatic Image Generation.


Mar2009 - Present  


Lab of High Dimensional Biomimetic Informatics and it's Applications, 


1994- Present  


Chinese Journal of Electronics Editorial Committe

1980- Present 


Chinese Academy of Sciences

1960 - Present  


Institute of Semiconductors, CAS

1988 - 2002

Vice Chairman

The Chinese Institute of Electronics

1956 - 1960

Associate Research Fellow

Istitute of Applied Physics, Chinese Academy of Sciences


B.S. 1942-1949

Department of Electrical Engineering

Tongji University

Selected Publication:
Selected Papers:
  1. Wang Shoujue, Bionic (Topological) Pattern Recognition - A New Model of Pattern Recognition Theory and Its Applications, ACTA ELECTRONICA SINICA, 2002, 30(10).
  2. Wang Shoujue, Wang Bainan. Analysis and Theory of High-Dimension Space Geometry for Artificial Neural Networks, 2002, 30(1)
  3. Wang Shoujue, Li Zhaozhou, Chen Xiangdong and Wang Bainan. Discussion on the Basic Mathematical Models of Neurons in General Purpose Neurocomputer, ACTA ELECTRONICA SINICA,2001, 29(5)
  4. LAI Jiang-Liang, WANG ShouJue, An Geometrical Algorithm for Minimum Covering Sphere and Application in Pattern Recognition. PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2006, 19(2)
  5. Wang Shoujue. Priority ordered neural networks with better similarity to human knowledge representation[J]. Chinese Journal of Electronics, 1999, Vol.8(No.1): 1-4.
  6. Wang Shoujue, Lu Huaxiang, Feng Hongjuan, Zhuang Wenjun. Three-layer channel routing algorithm with track loss and profit analysis[J]. Chinese Journal of Electronics, 1996, Vol.5(No.1): 25-32.
  7. Wang Shoujue, Lai Jiangliang. High dimensional imagery geometry and it's applications[J]. Chinese Journal of Electronics, 2006, Vol.15(No.4A).
  8. Wang Shoujue, Wang Liyan, Chen Yongmei, Lu Huaxiang. A study on artificial neurons with multi-threshold transfer functions[J]. Chinese Journal of Electronics, 1995, Vol.4(No.2): 83-85.
  9. Wang Shoujue, Zhao Xingtao. Biomimetic pattern recognition theory and its application[J]. Chinese Journal of Electronics, 2004, Vol.13(No.3): 373-377.
  10. Wang Shoujue, Chen Xu, Li Weijun. Discussion on the Basic Mathematical Models of Neurons—Double Synaptic Weight Neuron in General-Purpose Neurocomputer,Theory and Application[J]. Chinese Journal of Electronics, 2006, Vol.15(No.3): 373-377.
  11. Wang Shoujue, Lai Jiangliang. Geometrical learning, descriptive geometry, and biomimetic pattern recognition[J]. Neurocomputing, 2005, Vol.67(n1-4 SUPPL.): 9-28.
  12. Wang Shoujue, Wang Xiangdong. The application of feedforward neural networks in VLSI fabrication process optimization[J]. International Journal of Computational Intelligence and Applications, 2001: 83-90.

Selected Inventions and Patents:

  1. Developed the first domestic made high frequency switching transistor which is used in the early high speed transistorized computer for the computing works of the nuclear physics research.
  2. Developed the earliest silicon planar transistors and solid state circuits in China in 1963 and 1965, the Pattern Generator for LSI mask making in 1971.
  3. Developed the Integrated High Speed Fuzzy Logic Circuit DYL, published in 1978, and by using this invention, the converting time of 8 bit D/A convertor chips are reduced form 80 ns to 4 ns.
  4. In the last decade of the twentieth century, significant achievements are got on the Artificial Neural Networks, including chips, hardware, mathematical model, algorithm and application on pattern recognition as well as process optimization, some major work are listed as following:
    1. A new model of pattern recognition principles is proposed (2002), which is based on “matter cognition” instead of “matter classification” in traditional statistical pattern recognition, named point-set covering recognition or topological recognition. This new model is better closer to the function of human being, therefore it also be called Biomimetic Pattern Recognition (BPR).
    2. Since 2002, a new tool is developed named “Computational Descriptive Geometry in High Dimensional Space” for analyzing the point-set covering problem.
    3. The Multi-weighted Neural Networks are created, since 2001, for hardware implementation of Neural Networks to solving the Point-set Covering Problem in high dimensional space.

Selected Prizes and Awards received:

  1. The firs-class award of National New Products Prize in 1964.
  2. The first-class as well as the second-class award of Scientifical and Technological Achievement Prize from CAS in 1980, 1983, 1992, and 1996.
  3. The first-class award of advance Science and Technology Prize Beijing in 2001.
  4. The National Invention Prize in 1964 and again in 1996.
  5. Given the Award of Progress in Science and Technology in 2001.
  6. Elected as the president of China Neural Networks Council in 2004.