Selected Refereed Publications of Qiangfu Zhao and His Students

  1. Q. F. Zhao and C.-H. Hsieh, "Card User Awareness Based on Image Morphing," Journal of Computer Engineering and Science, Vol. 34, No. 1, pp. 11-20, 2012.
  2. J. Ji, R.-C. Chen, and Q. F. Zhao, "Document analysis system based on awareness learning," Journal of Advance Computational Intelligence and Intelligent Informatics, Vol. 15, No. 9, pp. 1230-1240, 2011.
  3. R.-C. Chen, Y.-C. Lin, S.-L. Huang, and Q. F. Zhao, "Using radio frequency identification for indoor location identification based on power level, signal strength and fuzzy method," Journal of Advance Computational Intelligence and Intelligent Informatics, Vol. 15, No. 9, pp. 1287-1298, 2011.
  4. C.-H. Hsieh and Q. F. Zhao, "Grey Temporal Error Concealment," Grey Systems: Theory and Applications, Vol. 1, No. 2, pp. 138-147, 2011.
  5. H. Hayashi and Q. F. Zhao, "Inducing compact NNTrees through discriminant multiple centroids based dimensionality reduction," International Journal of Innovative computing, Information and Control, Vol. 7, No. 5, 2011.
  6. Q. F. Zhao and C.-H. Hsieh, "Card User awareness based on linear sub-space representation," Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC2011), pp. 227-232, Alaska, 2011.
  7. Q. F. Zhao and C.-H. Hsieh, "Card user authentication based on generalized image morphing," IEEE International Conference on Awareness Science and Technology (iCAST2011), pp. 117-122, Dalian, 2011.
  8. K. Watarai, Q. F. Zhao and H. Hayashi, "Inducing compact NNTrees using discriminant rough null space method," IEEE International Conference on Awareness Science and Technology (iCAST2011), pp. 394-399, Dalian, 2011.
  9. J. Ji, H. Hirotomo and Q. F. Zhao, "Inducing Portable Neural Network Trees for Text Data Through DCAMC", Proc. of the 4th International Conference on Human System Interaction, pp. 221-228, Yokohama, Japan, 2011.
  10. N. El-Bendary, H. M. Zawbaa, M. Hamed, A. E. Hassanien, and Q. F. Zhao, "HSAS: heart sound authentication syste," Proc. World Congress on Nature and Biologically Inspired Computing, pp. 351-356, Kitakyushu, 2010.
  11. C. H. Hsieh, B. C. Chen, C. M. Lin, and Q. F. Zhao, "Detail aware contrast enhancement with linear image fusion," Proc. IEEE International Symposium on Aware Computing (ISAC2010), pp. 1-5, Tainan, 2010.
  12. Q. F. Zhao, M. Akatsuka, K. Maeda, and C. H. Hsieh, "A new protocol for user awareness in card based shopping," Proc. IEEE International Symposium on Aware Computing (ISAC2010), pp. 245-250, Tainan, 2010.
  13. J. Ji, Y. T. Tony, and Q. F. Zhao, "Clustering large sparse text data: a comparative advantage approach," Journal of Information Processing Society of Japan, Vol. 18, No. 9, pp. 1234-1243, 2010.
  14. J. Ji and Q. F. Zhao, "Applying Naive Bayes classifier to document clustering," Journal of Advance Computational Intelligence and Intelligent Informatics, Vol. 14, No. 6, pp. 624-630, 2010.
  15. J. Ji, K. Daichi, and Q. F. Zhao, "A customer intention aware system for document analysis," Proc. of International Joint Conference on Neural Networks (IJCNN2010), pp. 114-119, Barcelona, 2010.
  16. C. H. Hsieh, F. J. Chang, and Q. F. Zhao, "Content aware image retrieval with partition-based color feature," Proc. of International Joint Conference on Neural Networks (IJCNN2010), pp. 1392-1398, Barcelona, 2010.
  17. H. Hayashi and Q. F. Zhao, "Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach," Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC2020), pp. 705-712, Istanbul, 2010.
  18. Tony Y. T. Chan, J. Ji, and Q. F. Zhao, "Learning to detect spam: naive-Euclidean approach," International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 1, No. 1, pp. 31-38, 2009.
  19. N. Tominaga and Q. F. Zhao, "Fast structural learning of distance-based neural networks," Proc. of International Joint Conference on Neural Networks (IJCNN2009), pp. 3124-3131, Atlanta, 2009.
  20. H. Hayashi and Q. F. Zhao, "Model reduction of neural network trees based on dimensionality reduction," Proc. of International Joint Conference on Neural Networks (IJCNN2009), pp. 1171-1176, Atlanta, 2009.
  21. N. Tominaga and Q. F. Zhao, "Speed-up of the R4-rule for distance-based neural network learning," Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC2009), pp. 3489-3494, Texas, 2009.
  22. H. Hayashi and Q. F. Zhao, "Induction of compact neural network trees through centroid based dimensionality reduction," Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC2009), pp. 974-979, Texas, 2009.
  23. J. Ji, T. Chan and Q. F. Zhao, "Fast document clustering based on weighted comparative advantage," Proc. of IEEE International Conference on Systems, Man and Cybernetics (SMC2009), pp. 547-552, Texas, 2009.
  24. J. Ji, T. Chan and Q. F. Zhao, "Comparative advantage approach to classifying sparse text data," Proc. of IEEE International Conference on Computer and Information Technology (CIT2009), pp. 3-8, Xiamen, 2009.
  25. J. Ji, Q. F. Zhao, R. Shindo, and Y. Kunishi, "A study on criteria for extracting key terms in document clustering," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 3674-3679, Singapore, 2008.
  26. J. Ji, Q. F. Zhao, R. Shindo, and Y. Kunishi, "A new document clustering method based on comparative advantage," Proc. of Joint International Conference on Soft Computing and Intelligent Systems, and International Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), 1084-1089, Nagoya, 2008.
  27. Q. F. Zhao, H. Hayashi, and H. Takahashi, "Face recognition based on minor components of the within-class scatter matrix," Proc. of Joint International Conference on Soft Computing and Intelligent Systems, and International Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), pp. 1078-1083, Nagoya, 2008.
  28. H. Hayashi and Q. F. Zhao, "A fast algorithm for inducing neural network trees," Journal of Information Processing, Vol. 49, No. 8, pp. 2878-2889, 2008. (in Japanese)
  29. H. Nakamura and Q. F. Zhao, "Information hiding based on image morphing," Proc. of the 3rd International Symposium on Ubiquitous Application and Security Service (UASS2008), in conjunction with the 22nd International Conference on Advanced Information Networking and Applications (AINA2008), pp. 1585-1590, Okinawa, Japan, March 2008.
  30. C. F. Lv, Q. F. Zhao, and Z. W. Liu, "A flexible non-linear PCA encoder for still image compression," Proc. 7th IEEE International Conference on Computer and Information Technology (CIT07), pp. 645-650, Oct. 2007.
  31. K. Sakamoto and Q. F. Zhao, "Generating comprehensible moving policies for mobile robots through co-evolution of navigators and environment patterns," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC2007), pp. 2455-2460, Oct. 2007.
  32. H. Kobayashi and Q. F. Zhao, "Face Detection with Clustering, LDA and NN," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC2007), pp. 1670-1675, Oct. 2007.
  33. A. Tamura and Q. F. Zhao, "Rough Common Vector: A New Approach to Face Recognition," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC2007), pp. 2366-2371, Oct. 2007.
  34. C. F. Lv and Q. F. Zhao, "Integration of Data Compression and Cryptography: Another Way to Increase the Information Security," Proc. of 2007 IEEE International Symposium on Ubisafe Computing (UbiSafe-07), in conjunction with the IEEE 21st International Conference on Advanced Information Networking and Applications (AINA-07), pp. 543-547, Niagara Falls, Canada, May 2007.
  35. Hazem M. El-Bakry and Q. F. Zhao, "Fast Normalized Neural Processors For Pattern Detection Based on Cross Correlation Implemented in the Frequency Domain," Journal of Research and Practice in Information Technology, Vol. 38, No.2, pp. 151-170, May 2006.
  36. C. F. Lv and Q. F. Zhao, "k-PCA: a semi-universal encoder for image compression," International Journal of Pervasive Computing and Communications, Vol. 3, No. 2, pp. 205-220, 2007.
  37. K. Sakamoto and Q. F. Zhao, "A study on generating good environment patterns for evolving robot navigators," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC06), pp. 3280-3285, Taipei, Oct. 2006.
  38. Q. F. Zhao, "Inducing NNC-Trees quickly," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC06), pp. 2784-2789, Taipei, Oct. 2006.
  39. S. Kondo and Q. F. Zhao, "A novel steganographic technique based on image morphing," Proc. International Conference on Ubiquitous Intelligence and Computing (UIC06), Wuhan and Three Gorges, China, pp. 806-815, Sept. 2006 (Lecture Notes in Computer Science 4159, Springer).
  40. J. H. Ma, Q. F. Zhao, V. Chaudhary, J. D. Cheng, L. T. Yang, R. H. Huang, and Q. Jin, "Ubisafe computing: vision and challengies (I)," Proc. International Conference on Autonomic and Trusted Computing (ATC-06), Wuhan and Three Gorges, China, pp. 386-397, Sept. 2006 (Lecture Notes in Computer Science 4158, Springer).
  41. H. Hayashi and Q. F. Zhao, "Evolving NNTrees more efficiently," Proc. IEEE International Congress on Evolutionary Computation (CEC06), Vancouver, BC, Canada, pp. 2638-2643, July 2006.
  42. Hazem El-bakry and Qiangfu Zhao, "Fast Neural Implementation of PCA for Face Detection," Proc. International Joint Conference on Neural Networks (IJCNN06), Vancouver, BC, Canada, pp. 1785-1790, July 2006.
  43. Q. F. Zhao, "Inducing NNC-Trees with the R4-rule," IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernectics, Vol. 36, No. 3, pp. 520-533, 2006.
  44. K. Sakamoto and Q. F. Zhao, "CB-CEA: A clustering-based co-evolutionary algorithm for generating environment patterns effectively," WSEA Trans. on Circuits and Systems, Issue 4, Vol. 5, pp. 568-574, 2006.
  45. T. Takeda, Q. F. Zhao and Y. Liu, "Incremental Learning with the Neural Network Trees," Neural, Parallel and Scientific Computations, Vol. 13, No. 3/4, pp. 287-296, 2005.
  46. Hazem M. El-Bakry and Q. F. Zhao, "Fast Time Delay Neural Networks," International Journal of Neural Sysems, Vol. 15, No. 6, pp. 445-455, 2005.
  47. Hazem M. El-Bakry and Q. F. Zhao, "Fast pattern detection using normalized neural networks and cross-correlation in the frequency domain," EURASIP Journal on Applied Signal Processing, No. 13, pp. 2054-2060, 2005.
  48. Hazem M. El-Bakry and Q. F. Zhao, "Speeding-up normalized neural networks for face/object detection," Machine Graphics & Vision, Vol. 14, No. 1, pp. 29-59, 2005.
  49. Q. F. Zhao, "Learning with data streams - an NNTree based approach," Proc. 2nd International Symposium on Ubiquitous Intelligence and Smart Worlds, pp. 519-528, Nagasaki, 2005 (Lecture Notes in Computer Science 3823, Springer).
  50. K. Sakamoto and Q. F. Zhao, "Generating smart robot controllers through co-evolution," Proc. 2nd International Symposium on Ubiquitous Intelligence and Smart Worlds, pp. 529-537, Nagasaki, 2005 (Lecture Notes in Computer Science 3823, Springer).
  51. C. F. Lv and Q. F. Zhao, "A universal PCA for image compression," Proc. Embedded and Ubiquitous Computing (EUC2005), pp. 910-919, Nagasaki, 2005 (Lecture Notes in Computer Science 3824, Springer).
  52. C. F. Lv and Q. F. Zhao, "e-LBG: an extended LBG algorithm for constructing universal k-PCA," WSEA Trans. on Signal Processing, Issue 3, Vol. 1, pp. 425-431, 2005.
  53. H. Hayashi and Q. F. Zhao, "A comparative study on GA based and BP based induction of neural network trees," Proc. IEEE International Conference on Systems, Man and Cybernetics, pp. 822-826, Waikoloa, Hawaii, 2005.
  54. K. Sakamoto and Q. F. Zhao, "Co-evolving robot controllers that generalize well," Proc. IEEE International Conference on Systems, Man and Cybernetics, pp. 2311-2316, Waikoloa, Hawaii, 2005.
  55. T. Kawatsure and Q. F. Zhao, "Inducing multivariate decision trees with the R4-rule," Proc. IEEE International Conference on Systems, Man and Cybernetics, pp. 3593-3598, Waikoloa, Hawaii, 2005.
  56. C. F. Lv and Q. F. Zhao, "A simplified MPC for image compression," Proc. IEEE International Conference on Computer and Information Technology, pp. 580-584, Shanghai, 2005.
  57. Hazem M. El-Bakry and Q. F. Zhao, "Normalized neual networks for fast pattern detection," Proc. International Joint Conference on Neural Networks, pp. 1889-1894, Montreal, Canada, 2005.
  58. Hazem M. El-Bakry and Q. F. Zhao, "Fast pattern detection using neual networks and cross correlation in the frequency domain," Proc. International Joint Conference on Neural Networks, pp. 1900-1905, Montreal, Canada, 2005.
  59. Hazem M. El-Bakry and Q. F. Zhao, "Fast complex valued time delay neural networks," International Journal of Computational Intelligence, Vol. 2, No. 1, pp. 16-26, 2005.
  60. Q. F. Zhao, "Lifetime learning with neural network trees,," Proc. 8th International Conference on Pattern Recognition and Information Processing (PRIP05), Keynote Speech, pp. 359-362, Minsk, Belarus, 2005.
  61. Q. F. Zhao, "Design smart NNTrees based on the R4-rule," Proc. of the IEEE 19th International Conference on Advanced Information Networking and Applications (AINA2005), Vol. 2, pp. 547-551, 2005.
  62. Hazem M. El-Bakry and Q. F. Zhao, "Face detection using fast neural processors and image decomposition," International Journal on Computational Intelligence, Vol. 1, No. 4, pp. 313-316, 2004.
  63. Hazem M. El-Bakry and Q. F. Zhao, "A modified cross correlation in the frequency domain for fast pattern detection using neural networks," International Journal on Signal Processing, Vol. 1, No.3, pp. 188-194, 2004.
  64. Hazem M. El-Bakry and Q. F. Zhao, "Fast object/face detection using neural networks and fast Fourier transform," International Journal on Signal Processing, Vol. 1, No. 3, pp. 182-187, 2004.
  65. Q. F. Zhao, "Recognition, learning and understanding," International Scientific Journal of Computing, Vol. 3, Issue 1, pp. 84-92, 2004.
  66. Q. Z. Xu, Q. F. Zhao, W. J. Pei, L. X. Yang and Z. Y. He, "Interpretable neural network tree for continuous-feature data sets," On-line Journal of Neuro Information Processing - Letter and review, Vol. 3, No. 3, pp. 77-84, 2004.
  67. W. W. Du and Q. F. Zhao, "An improved R4-rule for evolutionary learning of NN-MLP," Proc. International Conference on Artificial Intelligence and Soft Computing (ASC04), pp. 238-242, Spain, 2004.
  68. Q. Z. Xu, Q. F. Zhao, W. J. Pei, L. X. Yang and Z. Y. He, "Design interpretable neural network trees through self-organized learning of features," Proc. International Joint Conference on Neural Networks (IJCNN04), pp. 1433-1438, Hungary, 2004.
  69. Q. F. Zhao, C. Lu, W. J. Pei and Z. Y. He, "Evolution and Interpretation of MTM-NNTrees," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC'04), pp. 5702-5707, Holland, 2004.
  70. T. Takeda and Q. F. Zhao, "Growing Neural Network Trees Efficiently and Effectively," Proc. International Conference on Hybrid Intelligent Systems (HIS'03), pp. 107-115, Dec. 2003.
  71. T. Takeda and Q. F. Zhao, "A two step algorithm for designing small neural network trees," Proc. IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 513-517, Dec. 2003.
  72. K. Sakamoto, T. Takeda and Q. F. Zhao, "Generation of good training data for extracting DTs from evolved NN robot controllers," Proc. IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 33-36, Dec. 2003.
  73. C. Lu, Q. F. Zhao, W. J. Pei and Z. Y. He, "A Multiple Objective Optimization Based GA for Designing Interpretable and Comprehensible Neural Network Trees," Proc. IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 518-521, Dec. 2003.
  74. T. Takeda, Q. F. Zhao and Y. Liu, "A Study on On-line Learning of NNTrees," Proc. International Joint Conference on Neural Networks (IJCNN03), pp. 513-517, 2003.
  75. N. Okamoto and Q. F. Zhao, "Synchronous parallel GA with nearly zero sequential computations," Proc. International Symposium on Cyber Worlds (CW2002), pp. 296-300, Tokyo, 2002.
  76. S. Mizuno and Q. F. Zhao, "Neural Network Trees with Nodes of Limited Inputs are Good for Learning and Understanding," Proc. 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL2002), pp. 573-576, Singapore, 2002.
  77. S. Mizuno and Q. F. Zhao, "Evolutionary design of neural network trees with nodes of limited number of inputs," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC'02), Tunisia, 2002.
  78. S. Haruyama and Q. F. Zhao, "Designing smaller decision trees using multiple objective optimization based GPs," Proc. IEEE International Conference on Systems, Man and Cybernetics (SMC'02), Tunisia, 2002.
  79. T. Endou and Q. F. Zhao, "Generation of comprehensible decision trees through evolution of training data," Proc. IEEE Congress on Evolutionary Computation (CEC'2002), pp. 1221-1225, 2002.
  80. Q. F. Zhao, "Training and retraining of neural network trees," Proc. INNS-IEEE International Joint Conference on Neural Networks (IJCNN'01), pp. 726-731, Washington DC, 2001.
  81. Q. F. Zhao, "Evolutionary Design of Neural Network Tree - Integration of Decision Tree, Neural Network and GA," Proc. IEEE Congress on Evolutionary Computation (CEC'2001), pp. 240-244, Seoul, 2001.
  82. Q. F. Zhao, "Modeling and evolutionary learning of modular neural networks," Proc. The 6-th International Symposium on Artificial Life and Robotics, pp. 508-511, 2001.
  83. O. Hammami, K. Kuroda, Q. Zhao and K. Saito, "CoEvovable hardware platform for automatic hardware design of neural networks," Proc. IEEE International Conference on Industrial Technology, pp. 509-514, Goa, 2000.
  84. T. Endou and Q. F. Zhao, "Some Considerations for Improving the Efficiency of GA Based Concept Learning," Proc. The 4-th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, pp. 209-214, 2000.
  85. S. Oka and Q. F. Zhao, "Design of Decision Trees through Integration of C4.5 and GP," Proc. The 4-th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, pp. 128-135, 2000.
  86. T. Tanigawa and Q. F. Zhao, "A study on efficient generation of decision trees using genetic programming," Proc. 2000 Genetic and Evolutionary Computation Conference (GECCO'2000), pp. 1047-1052, Las Vegas, July 2000.
  87. Q. F. Zhao, O. Hammami, K. Kuroda and K. Saito, "Cooperative co-evolutionary algorithm - how to evaluate a module ?," Proc. 1st IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, pp. 150-157, San Antonio, May 2000.
  88. Q. F. Zhao, "Cooperative co-evolution of pattern recognition agents," Proc. 4-th Annual Meeting of Japan Association for Evolutionary Economics (JAFEE'2000), Tokyo, Mar. 2000.
  89. Q. F. Zhao and M. Shirasaka, "A study on evolutionary design of binary decision trees," Proc. IEEE Congress on Evolutionary Computation (CEC'99), pp. 1988-1993, Washington D. C., July 1999.
  90. M. Shirasaka, Q. F. Zhao, O. Hammami, K. Kuroda and K. Saito, "Automatic design of binary decision trees based on genetic programming," Proc. The Second Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'98), Canberra, Nov. 1998.
  91. Q. F. Zhao, "Co-evolutionary learning of neural networks," International Journal of Intelligent and Fuzzy Systems, Vol. 6, Issue 1, pp. 83-90, July 1998.
  92. Q. F. Zhao, "A general framework for cooperative co-evolutionary algorithms: a society model," Proc. IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, pp. 57-62, May 1998.
  93. T. Suzuki and Q. F. Zhao, "On-line evolutionary learning of NN-MLP," Proc. Third Int. Symp. on Artificial Life and Robotics, pp. 740-743, Oita, Jan. 1998.
  94. Q. F. Zhao, "A society model for co-operative co-evolutionary algorithms," Proc. International Conference on Neural Information Processing, pp. 444-447, Dunedin, New Zealand, Nov, 1997.
  95. Q. F. Zhao, "A society model for cooperative co-evolutionary algorithms: some case studies," Proc. Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pp. 30-36, Canberra, Australia, Nov, 1997.
  96. Q. F. Zhao, "A Co-Evolutionary Algorithm for Neural Network Learning," Proc. IEEE Inter. Conf. on Neural Networks, pp. 432-437, Houston, June 1997.
  97. Q. F. Zhao, "EditEr: A Combination of IEA and CEA," Proc. IEEE Inter. Conf. on Evolutionary Computation, pp. 641-645, Indianapolis, April 1997.
  98. Q. F. Zhao, "Evolutionary design of decomposable systems based on EditEr," Proc. Inter. Symp. on System Life, pp. 127-132, Tokyo, July 1997.
  99. Q. F. Zhao, "Stable on-line evolutionary learning of NN-MLP," IEEE Trans. on Neural Networks, Vol. 8, No. 6, pp. 1371-1378, 1997.
  100. Q. F. Zhao, "A Study on Co-Evolutionary Learning of Neural Networks," Proc. The first Asia-Pacific Conference on Simulated Evolution and Learning, pp. 287-294, Taejon, Nov. 1996.
  101. Q. F. Zhao and T. Higuchi, "Efficient learning of NN-MLP based on individual evolutionary algorithm," Neurocomputing, No. 13, pp. 201-215, 1996
  102. Q. F. Zhao and T. Higuchi, "Evolutionary learning of nearest neighbor MLP," IEEE Trans. on Neural Networks, Vol. 7, No. 3, pp. 762-767, 1996
  103. Q. F. Zhao and T. Higuchi, "Minimization of Nearest Neighbor Classifiers Based on Individual Evolutionary Algorithm," Pattern Recognition Letters, No. 17, pp. 125-131, 1996.
  104. Q. F. Zhao, "Neural Network Learning Based on Co-Evolution," Proc. IEEE Inter. Conf. on Neural Networks, Plenary, Panel and Special Sessions, pp. 124-129, Washington, DC., June 1996.
  105. Q. F. Zhao, "Hierarchical Evolutionary Algorithm Based on IEA and Its Application to Structural Learning," Proc. World Congress on Neural Networks, pp. 1076-1081, San Diego, USA, Sept. 1996.
  106. Q. F. Zhao, " Co-Evolutionary Algorithm: A New Approach to Evolutionary Learning," Proc. Inter. Conf. on SOFT Computing, pp. 529-532, Iizuka, Sept. 1996.
  107. Q. F. Zhao, "Structural Learning of MTM-MLP Based on Individual Evolutionary Algorithm," Proc. IEEE Inter. Conf. on Evolutionary Computation, pp. 341-345, Nagoya, May 1996.
  108. Q. F. Zhao, "On-Line Evolutionary Learning of NN-MLP Based on the Attentional Learning Concept," Proc. IEEE Inter. Conf. on Neural Networks, pp. 403-408, Washington, DC., June 1996.
  109. Q. F. Zhao, " Minimization of a three layered perceptron based on individual evolutionary algorithm," Proc. IEEE Inter. Conf. on Neural Networks and Signal Processing, pp. I612-I615, Nanjing, Dec. 1995.
  110. Q. F. Zhao and T. Higuchi,"On-line minimization of nearest neighbor based MLP," Proc. Would Congress on Neural Networks, pp. I636-I641, Washington, DC, July 1995.
  111. Q. F. Zhao and T. Higuchi, "Individual evolutionary algorithm and its application to learning of nearest neighbor based MLP," Proc. Inter. Workshop on Artificial Neural Networks (Lecture Notes in Computer Science, Vol. 930, Springer), pp. 396-403, Malaga, June 1995.
  112. Q. F. Zhao and T. Higuchi, "An evolutionary algorithm for solving multi-individual-multi-task problems," Proc. Inter. Workshop on Biologically Inspired Evolutionary Systems, pp. 61-68, Tokyo, April 1995.
  113. Q. F. Zhao and T. Higuchi,"Supervised organization of nearest neighbor MLP Proc. Inter. Conf. on Neural Information Processing, pp. 1398-1403, Seoul, Oct. 1994.
  114. Q. F. Zhao and T. Higuchi, "CLC-MLP is a general-purpose feature extractor," Proc. Inter. Conf. on Neural Information Processing, pp. 406-411, Seoul, Oct. 1994.
  115. Q. F. Zhao and T. Higuchi, "Efficient learning of nearest neighbor multilayer perceptrons," Proc. Inter. Conf. on Fuzzy Logic, Neural Nets and Soft computing, pp. 77-78, Iizuka, Aug. 1994.
  116. Q. F. Zhao, "Problem of neural networks in quadratic optimization and its solution," Journal of Beijing Institute of Technology, Vol. 14, No. 1, pp. 1-5, Feb. 1994.
  117. Q. F. Zhao, "Reconsideration on the efficiency of Hopfield neural network," Proc. Inter. Workshop on Intelligent Signal Process. and Communication Systems, pp. 228-232, Sendai, Oct. 1993.
  118. Q. F. Zhao and Y.M. Deng, "Let's learn things one by one ! " Proc. Inter. Workshop on Intelligent Signal Process. and Communication Systems, pp. 203-206, Sendai, Oct. 1993.
  119. Q. F. Zhao, "Neural network or massively parallel computation ? " Proc. Joint Technique Conf. on Circuits, Systems, Computers and Communications, pp. 296-300, Nara, July 1993.
  120. Y. M. Deng, S. X. Jia and Q. F. Zhao, "Recognition of printed characters based on contour analysis," Proc. Joint Technique Conf. on Circuits, Systems, Computers and Communications, pp. 129-132, Nara, July 1993.
  121. S. X. Jia, Y. M. Deng and Q. F. Zhao,"Automatic reading of printed electrical schematics based on line tracking," Proc. Joint Technique Conf. on Circuits, Systems, Computers and Communications, pp. 1036-1040, Nara, July 1993.
  122. Q. F. Zhao and Y. A. Ke, "Phase compensation and optimal imaging for inverse synthetic aperture radar," Journal of Beijing Institute of Technology, Vol. 12, No. 3, pp. 62-66, Sept. 1992.
  123. Q. F. Zhao, "Radar imaging without phase compensation," Proc. IEE Inter. Radar Conf., pp. 473-476, London, Oct. 1992.
  124. Q. F. Zhao and Y. A. Ke, "Efficiency of linearized Hopfield neural network in linearly constrained optimization problems," Proc. Inter. Joint Conf. on Neural Networks, I538-I541, Beijing, Nov. 1992.
  125. Q. F. Zhao, Z. Wang and Y. A. Ke, "Radar imaging based on iterative algorithms," Chinese J. of Systems Engineering and Electronics, Vol. 2, No. 2, pp. 91-99, July 1991.
  126. Q. F. Zhao, Z. Wang and Y.A. Ke, " Radar imaging based on iterative algorithms," Proc. IEEE Inter. Radar Conf., pp. 537-577, Arlington, May 1990.
  127. Q. F. Zhao, Z. Wang and Y. A. Ke, "Reconstruction of finite duration signals from their incomplete and noisy spectrum using ART-type algorithms," Proc. Inter. Conf. on Signal Process., Beijing, pp. 75-78, Oct. 1990.
  128. Q. F. Zhao and Y. Tadokoro, "A simple design of FIR filters with powers-of-two coefficients," IEEE Trans. Vol. CAS-35, No. 5, pp. 566-570, May 1988.
  129. Q. F. Zhao, M. Kawamata and T. Higuchi, "Controllability, observability and model reduction of separable denominator M-D systems," Trans. IEICE, Vol. E71, No. 5, pp. 505-513, May 1988.
  130. Q. F. Zhao, M. Kawamata and T. Higuchi, "A unified approach to the minimization of quantization effects in separable denominator multi-dimensional digital filters," Trans. IEICE, Vol. E70, No. 11, pp. 1092-1095, Nov. 1987.
  131. Q. F. Zhao, M. Kawamata and T. Higuchi, "Analysis and minimization of roundoff noise in separable denominator multi-dimensional digital filters," Trans. IEICE, Vol. J70-A, No. 8, pp. 1126-1135, Aug. 1987.
  132. Q .F. Zhao, M. Kawamata and T. Higuchi, "Direct design of separable denominator 3-D state-space digital filters," Trans. IEICE, Vol. E70, No. 4, pp. 411-421, April 1987.
  133. Q. F. Zhao, M. Kawamata and T. Higuchi, "A new property of optimal realizations of CRSD 2-D digital filters and its application to the direct spatial-domain design," Trans. IECE, Vol. E69, No. 10, pp. 1084-1092,Oct. 1986.
  134. Q. F. Zhao, M. Kawamata and T. Higuchi, "Equivalent relation between the balanced realization and optimal realization of digital filters and its application to time-domain design," SICE Trans., Vol. 22, No. 10, pp. 1037-1042, Oct. 1986.
  135. Q. F. Zhao, M. Kawamata and T. Higuchi, "A unified design method of state-space digital filters using system balancing concept," Proc. IEEE Inter. Conf. on ASSP, 2579-2582, Tokyo, April 1986.
  136. M. Kawamata, Q. F. Zhao and T. Higuchi,"A unified design method of 2-D separable denominator digital filters using system balancing concept," Proc. IEEE Inter. Symp. on CAS, 13-16, San Jose, May 1986.
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