CVPRIP Group

Publications


PAPERS IN REFEREED JOURNALS


  1. M. Xian, Y. Zhang, H. D. Cheng, F. Xu, J. Ding, ”Neutro-Connectedness Cut”, accepted by IEEE Trans. on Image Processing,2016.

  2. C. Liu, H.D. Cheng, Y. Zhang, Y. Wang, M. Xian, ”Robust multiple cue fusion- based high-speed and non-rigid object tracking algorithm for short track speed skating”, Journal of Electron Imaging, 25 (2016) 013014-013014.

  3. T. Song, Y. Zhang, X. Qu and H. D. Cheng. ”Prediction of cardiac mortality after acute myocardial infarction using support vector machine based on heart-rate dynamics” Journal of the American College of Cardiology, 2015, 66(16):C189-C189. (IF=16.5).

  4. J. Ding; H.D. Cheng; M. Xian; Y. Zhang; F. Xu, ”Local-weighted Citation-kNN algorithm for breast ultrasound image classification”, Optik Interna- tional Journal for Light and Electron Optics, 126(24):5188-5193, 2015.

  5. M. Xian, Y. Zhang, H. D. Cheng, ”Fully automatic segmentation of breast ultra- sound images based on breast characteristics in space and frequency domains”, Pattern Recognition, Vol. 48, No. 2, pp. 485-497, 2015.

  6. Y. Wang, H. D. Cheng, J. Shan, ”Multiplayer tracking system for short track speed skating”, IET Computer Vision, Volume 8, Issue 6, December 2014, p. 629- 641, 2014.

  7. T. Song, X. Qu, Y. Zhang, W. Cao, B. Han, Y. Li, J. Piao, L. Yin, and H. D. Cheng. ”Usefulness of the heart-rate variability complex for predicting cardiac mortality after acute myocardial infarction.” BMC Cardiovascular Disorders, 14, no. 1 (2014): 59.

  8. C. Liu, H. D. Cheng, A. Dasu, ”Scale Robust Head Pose Estimation Based on Relative Homography Transformation”, New Mathematics and Natural Computation, 10(1): 2014

  9. C. Liu, H. D. Cheng. ”Multi-Object Tracking and Occlusion Reasoning Based on Adaptive Weighing Particle Filter”, New Mathematics and Natural Com- putation, 10(3): 2014

  10. L. Sun, Y. Li, Y. Zhang, J. Shen, F. Xue, H. D. Cheng, and Xiu Fen Qu. ”A Computer-Aided Diagnostic Algorithm Improves the Accu- racy of Transesophageal Echocardiography for Left Atrial Thrombi A Single-Center Prospective Study.” Journal of Ultrasound in Medicine, 33, no. 1 (2014): 83-91.

  11. W. Ju and H. D. Cheng, ”A NOVEL NEUTROSOPHIC LOGIC SVM (N-SVM) AND ITS APPLICATION TO IMAGE CATEGORIZATION”, New Mathematics and Natural Computation (NMNC), 2013, vol. 09, issue 01, pages 27-42.

  12. J. Shan, H.D. Cheng and Y. X. Wang, ”A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering”, Medical Physics, 39, 5669 (2012).

  13. M. Zhang, L. Zhang and H. D. Cheng, ”Color image segmentation based on neutrosophy”, Optical Engineering, 51(3), 037009 (Apr 06, 2012).

  14. J. Ding, H.D. Cheng, J. Huang, J. Liu, Y. Zhang, ”Breast ultrasound image classification based on multiple-instance learning”, Journal of Digital Imag- ing, 2012, 25 (5).

  15. J. Ding, H.D. Cheng, Jianhua Huang, Yingtao Zhang, ”An improved quantita- tive measurement for thyroid cancer detection based on elastography”, European Journal of Radiology, 2012, 81 (4).

  16. J. Ding, H.D. Cheng, C. Ning, Y. Zhang, ”Quantitative measurement for thyroid cancer characterization based on elastography”, Journal of Ultrasound in Medicine, 2011, 30 (9).

  17. J. W. Tian, Chun-Ping Ning, Y, H, Guo, H. D. Cheng and X. L. Tang, ”Effect of a novel segmentation algorithm on radiologists’s diagnosis of breast masses using ultrasound imaging”, Ultrasound in Medicine and Biology, Vol. 38, No.1, pp. 118- 127, 2012.

  18. J. Shan, H. D. Cheng, Y. Wang, ”Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features”, Ultrasound in Medicine and Biology, Vol. 38, No. 2, pp. 262-275, 2012.

  19. Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, ”An effective approach of Lesion segmentation within the breast ultrasound image based on cellular au- tomata”, Journal of Digital Imaging. 2012, 25(5) : 580-590.

  20. Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, J. W. Tian, H. Wang, ”Computer-aided diagnosis system for Breast cancer using B-Mode and color Doppler fl w images”, Optical Engineering, 2012, 51(4), 043202(1-9).

  21. Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, J. W. Tian, Y. Wang, ”Computer Aided Diagnosis system for Breast Cancer Based On Color Doppler Flow Imaging”, Journal of Medical System, 2012,36(6):3975-3982.

  22. Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, J. W. Tian, ”An Effective Non-rigid Registration Approach for Ultrasound Image Based On Demons Algorithm”, Journal of Digital Imaging, 2012, DOI: 10.1007/s10278- 012- 9532- 0.

  23. Y. Zhang, H. D. Cheng, J. Huang, X. Tang, ”An Effective and Objective Criterion for Evaluating the Performance of Denoising Filters”, Pattern Recognition, Vol. 47, No. 7, pp. 2743-2757, 2012.

  24. H. D. Cheng, Y. Guo, Y. Zhang, ”A novel approach to image thresholding based on 2D homogeneity histogram and maximum entropy”, New Mathematics and Natural Computation (NMNC) , Vol. 7, Issue: 1(2011) pp. 105-133.

  25. Y. Guo, H. D. Cheng, Y. Zhang, ”Breast Ultrasound Image Segmentation Based On Particle Swarm Optimization And The Characteristics Of Breast Tissue”, New Mathematics and Natural Computation (NMNC), 2011, Vol. 07, issue 01, pp. 135- 154.

  26. Y. Zhang, H. D. Cheng, Y.Q. Chen and J. Huang, ”A novel noise removal method based fractional anisotropic diff and subpixel approach” New Mathematics and Natural Computation (NMNC), Vol. 7, Issue: 1(2011) pp. 173-185.

  27. H.D. Cheng, Y. Guo and Y. Zhang, ”A novel image segmentation approach based on neutrosophic set and improved fuzzy c-means algorithm”, New Mathematics and Natural Computation (NMNC), Vol. 7, Issue: 1(2011) pp. 155-171.

  28. Y. Zhang, H. D. Cheng, J. Huang, X. Tang, ”Novel effective fuzzy diff al- gorithm for noise removal”, Optical Engineering, Vol. 49, Issue 12, pp. 127001- 127001-7 (2010).

  29. D. Sun, H. D. Cheng, J. Liu, X. Tang, ”A NOVEL DENSITY GRADIENT-BASED COLOR EDGE DETECTION APPROACH”, New Mathematics and Natural Com- putation (NMNC), Vol. 6, Issue: 1(2010) pp. 57-75.

  30. M. Zhang, L. Zhang and H. D. Cheng,”Segmentation of ultrasound breast images based on a neutrosophic method”, Optical Engineering, Vol. 49, No. 11, Nov. 11, 2010.

  31. B. Liu, H.D. Cheng, J. Huanga, J. Tian, X. Tang and J. Liu, ”Probability density diff active contour for ultrasound image seg- mentation”, Pattern Recognition, Vol. 43, Issue 6, June 2010, pp. 2028-2042.

  32. Yingtao Zhanga, H.D. Chenga, Jiawei Tianc, Jianhua Huanga and Xianglong Tang, ”Fractional subpixel diff and fuzzy logic approach for ultrasound speckle re- duction”, Pattern Recognition, Vol. 43, Issue 8, August 2010, pp. 2962-2970.

  33. X Shi, H. D. Cheng, L Hu, W Ju, ”Detection and classification of masses in breast ultrasound images”, Digital Signal Processing Vol. 20, Issue 3, May 2010, pp. 824-836.

  34. H.D. Cheng, R. Min and M. Zhang, ”Automatic wavelet base selection and its application to contrast enhancement”, Signal Processing, Vol 90, Issue 4, April 2010, pp. 1279-1289.

  35. Ying Wang, Shuangquan Jiang, Hong Wang, Yan Hui Guo, Bo Liu, Yan Hou, H.D. Cheng, Jiawei Tian, ”CAD Algorithms for Solid Breast Masses Discrimination: Evaluation of the Accuracy and Interobserver Variability”, Ultrasound in Medicine and Biology, Vol. 36, pp. 1273-1281, 2010.

  36. Ying Wang, Hong Wang, Y. Guo, C. Ning, B. Liu, H. D. Cheng and J. Tian, ”Novel Computer-Aided Diagnosis Algorithms on Ultrasound Image: Effects on Solid Breast Masses Discrimination”, journal of Digital Imaging, Vol. 23, No. 5, 2010, pp. 581-591.

  37. Yanxin Su, Hong Wang, Ying Wang, Yanhui Guo, H. D. Cheng, Yingtao Zhang, Jiawei Tian, ”Speckle reduction approach for breast ultrasound image and its ap- plication to breast cancer diagnosis”, European Journal of Radiology, Vol. 75, No. 1, 2010, pp. 136-141.

  38. X. Shi, H. D. Cheng, L. Hu, W. Ju, and J. Tian, ”Detection and Classification of Masses in Breast Ultrasound Images”, Digital Signal Processing, pp. 299-317, Vol. 43, 2010.


  39. Bo Liu, H. D. Cheng, Jianhua Huang, Jiawei Tian, Xianglong Tang, Jiafeng Liu, ”Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images”, Pattern Recognition , Vol. 43, pp. 280-298, 2010.

  40. H.D. Cheng, Juan Shan, Wen Ju, Yanhui Guo, Ling Zhang ”Automated breast cancer detection and classification using ultrasound images: A survey”, Pattern Recognition , Vol. 43, pp. 299-317, 2010.

  41. Wen Ju, Juan Shan, Changhui Yan, and H. D. CHENG, ”Discrimination of Disease- Related non-Synonymous Single Nucleotide Polymorphism using Multi-Scale RBF Kernel Fuzzy Support Vector Machine”, Pattern Recognition Letter, Vol. 30, No. 4, 2009, pp. 391-396.

  42. Y. H. Guo, H. D. Cheng, and Yingtao Zhang, ”A new neutrosophic approach to image denoising”, New Mathematics and Natural Computation, Vol. 5, No. 3, pp 653-662, 2009.

  43. Rui Min and H. D. Cheng, ”Effective image retrieval using dominant color de- scriptor and fuzzy support vector machine”, Pattern Recognition, Vol. 42, Issue 1, 2009, pp.147-157.

  44. Bo Liu, H.D. Cheng, Jianhua Huang, Jiawei Tian, Jiafeng Liu and Xianglong Tang, ”Automated Segmentation of Ultrasonic Breast Lesions Using Statistical Tex- ture Classification and Active Contour Based on Probability Distance”, Ultrasound in Medicine and Biology, Vol. 35, Issue 8, 2009, 1309-1324.

  45. H. D. Cheng, Yanhui Guo and Y. T. Zhang, ”A novel Hough transform based on eliminating particle swarm optimization and its applications”, Pattern Recognition, Vol. 42, pp. 1959-1969, 2009.

  46. G. J. liu, X. L. tang, H. D. Cheng, J. Huang and J. Liu, ” A novel approach for tracking high speed skaters in sports using a panning camera”, Pattern Recognition, Vol. 42, pp. 2922-2935, 2009.

  47. Y. H. Guo and H. D. Cheng, ”New Neutrosophic Approach to Image Segmentation”,

    Pattern Recognition, Vol. 42, pp. 587-595, May 2009.

  48. H. D. Cheng, Xiaopeng Cai and Rui Min, ”A novel approach to color normalization using neural network” Neural Computing and Application, 2009, 18: 237-247.

  49. Y. H. Guo, H. D. Cheng, J, Tian and Y. T. Zhang, ”A Novel Approach to Speckle Reduction in Ultrasound Imaging”, Ultrasound in Medicine and Biology, Vol. 35, No. 4, pp. 628-640, 2009.


  50. H. D. Cheng and Y. H. Guo, ”A NEW NEUTROSOPHIC APPROACH TO IM- AGE THRESHOLDING”, New Mathematics and Natural Computation, Vol. 4, No. 3, pp. 291-308, Nov. 2008.

  51. Liang Wang, Hongxun Yao and H. D. Cheng, ”EFFECTIVE AND AUTOMATIC CALIBRATION USING CONCENTRIC CIRCLES”, International Journal of Pat- tern Recognition and Artificial Intelligence, Vol. 22, No. 7, pp. 1379-1401, 2008.

  52. Maotang Li, H. D. Cheng and Yejun Wang, ”Novel Airborne Real-Time Survey System”, IEEE Trans. on Instrumentation and Measurement, Dec. 2007, Vol. 56, pp. 2404-2410.

  53. Y. Guo, H D Cheng, J Huang, W Zhao and X Tang, ”Contrast Enhancement Using Texture Histogram and Fuzzy Entropy”, New Mathematics and Natural Computa- tion, Vol. 3, No. 3, pp. 349-365, 2007.

  54. Jia-Wei Tian, Yu-Jie Liu , Yan-Hui Guo , Heng-Da Cheng , Ying-Tao Zhang, ”Computerized-Aid Diagnosis of Breast Mass Using Ultrasound Image”, Medical Physics, Vol. 3, No. 8, pp3158-3164, 2007.

  55. H. D. Cheng, M. Xue, X. J. Shi and M. Zhang, ”A Novel Contrast Enhancement Approach Based on Fuzzy Homogeneity”, Optical Engineering, Vol. 46, No. 4, pp. 047002-1-9, 2007.

  56. S Fu, Q. Ruan, W. Wang, F. Gao and H. D. Cheng, ”A feature-dependent fuzzy bidirectional flow for adaptive image sharpening”, Neurocomputing, Volume 70, Issues 4-6, January 2007, Pages 883-895.

  57. H.D. Cheng, X.Y. Liu, X. J. Shi and L.M. Hu, ”High Performance System for De- tecting Microcalcification Clusters in Mammograms Using Fuzzy Logic and Wavelet”, Current Development in Theory and Applications of Wavelets, Vol. 1, No. 1, pp.1- 24, 2006.

  58. Yanhui Guo, H. D. Cheng, Jianhua Huang, Jiawei Tian, Wei Zhao, Litao Sun, and Yanxin Su, ”Breast Ultrasound Image Enhancement Using Fuzzy Logic”, Ul- trasound in Medicine and Biology, Vol. 32, No. 2, pp. 237-247, 2006.

  59. H. D. Cheng, X. J. Shi, R. Min, L. M. Hu, X. P. Cai and H. N. Du, ”Approaches for Automated Detection and Classification of Masses in Mammograms”, Pattern Recognition, Vol. 39, pp. 646-668, 2006.

  60. H. D. Cheng, H. Du and L. Hu, ”Vehicle Detection and Classification Using Model- Based and Fuzzy Logic Approaches”, Transportation Research Board Record, Jour- nal of the Transportation Research Board, No. 1935, pp. 154-162, 2005.


  61. R. Ni, Q. Ruan and H. D. Cheng, “Secure Semi-Blind Watermarking Based on Iteration Mapping and Image Features”, Pattern Recognition,Vol. 38, pp. 357- 368, 2005.

  62. H. D. Cheng and Y. Cui, “Mass lesion detection with a fuzzy neural network”,

    Pattern Recognition, Vol. 37, pp. 1189-1200, 2004.

  63. H. D. Cheng, J. L. Wang and X. J. Shi, “Microcalcification detection using fuzzy logic and scale space approach”, Pattern Recognition, Vol. 37, pp. 363-375, 2004.

  64. H. D. Cheng and X. J. Shi, “A simple and effective histogram equalization approach to image enhancement”, Digital Signal Processing, Vol. 14, pp. 158-170, 2004.

  65. H. D. Cheng, X. P. Cai, X. W. Chen, L. M. Hu and X. L. Lou, “Computer-Aided Detection and Classification of microcalcifications in mammograms: a survey”, Pat- tern Recognition, Vol. 36, pp. 2967-2991, 2003.

  66. H. D. Cheng, Mei Xue and X. J. Shi, “Contrast enhancement based on a novel homogeneity measurement”, Pattern Recognition, Vol. 36, pp. 2687-2697, 2003.

  67. H. D. Cheng, X. J. Shi and C. Glazier, “Real-time image thresholding based on sample space reduction and interpolation approach”, ASCE Journal of Computing in Civil Engineering, Vol. 17, No. 4, pp. 264-272, Oct. 2003.

  68. H. D. Cheng and J. G. Li, “Fuzzy homogeneity and scale space approach to color image segmentation”, Pattern Recognition, Vol. 35, 373-393, 2002.

  69. P. Wang, H. D. Cheng, and A. Menzies, “Joint Explorations”, Trends in Cognitive Sciences, Vol. 6, No. 7, pp. 275-276, 2002.

  70. H. D. Cheng and H. J. Xu, “A novel fuzzy logic approach to mammogram contrast enhancement”, Information Sciences, 148 (167-184), 2002.

  71. H. D. Cheng, “Automated real-time pavement crack detection and classification system”, New Ideas for Highway Systems, Transportation Research Board, National Research Council, pp. 115-117, Jan. 2002.

  72. H. D. Cheng, X. H. Jiang and J. L. Wang, “Color Image Segmentation Based on Homogram Thresholding and Region Merging”, Pattern Recognition, Vol. 35, pp. 373-393, 2002.

  73. H. D. Cheng, Jingli Wang, Y. G. Hu, C. Glazier, X. J. Shi and X. W. Chen, “A Novel Approach to Pavement Cracking Detection Based on Neural Network”, Transportation Research Board Record, Journal of the Transportation Research Board, No. 1764, pp. 119-127, 2001.


  74. H. D. Cheng, X. H. Jiang, Y. Sun and J. L. Wang, “Color Image Segmentation: Advances & Prospects”, Pattern Recognition, Vol. 34, No. 12, pp 2259-2281, Dec. 2001.

  75. H. D. Cheng and Y. Sun, “A Hierarchical Approach to Color Image Segmentation Using Homogeneity”, IEEE Trans. on Image Processing, Vol. 9, No. 12, pp 2071- 2081, 2000.

  76. Donald L. Hung, H.D. Cheng, Savang Sengkhamyong, “Design of a Configurable Accelerator for Moment Computation”, IEEE Trans. on VLSI Systems, Vol. 8, No. 6, pp 741-746, Dec. 2000.

  77. H. D. Cheng and H. J. Xu, “A novel fuzzy logic approach to contrast enhancement”,

    Pattern Recognition, Vol. 33, No. 5, pp. 809-819, 2000.

  78. H.D. Cheng, Y. H. Chen and X. H. Jiang, “Thresholding using two-dimensional histogram and fuzzy entropy principle”, IEEE Trans. on Image Processing, Vol. 9, No. 4, pp 732-735, April 2000.

  79. H. D. Cheng, X. Jiang, J. Li and C. Glazier, “Automated real-time pavement distress analysis”, Transportation Research Board Record, Journal of the Trans- portation Research Board, No. 1655, pp. 55-64, 1999.

  80. H. D. Cheng, J. R. Chen, C. Glazier and Y. G. Hu, “Novel approach to pave- ment distress detection based on fuzzy set theory”, Journal of Computing in Civil Engineering, Vol. 13, No. 4, pp. 270-280, Oct. 1999.

  81. H. D. Cheng, Y. H. Chen and Y. Sun, “A novel fuzzy entropy approach to image enhancement and thresholding”, Signal Processing, 75, pp. 277-301, 1999.

  82. H. D. Cheng and Y. H. Chen, “Fuzzy partition of two-dimensional histogram and its application to thresholding”, Pattern Recognition, Vol. 32, No. 5, pp. 825-843, May 1999.

  83. D. L. Hung, H. D. Cheng and S. Sengkamyong, “Design of a Hardware Accelerator for Real-Time Moment Computation - A Wavefront Array Approach”, IEEE Trans. Industrial Electronics, Vol. 46, No. 1, pp. 207-218, Feb. 1999.

  84. H. D. Cheng, Y. M. Lui and R. I. Freimanis, “A novel approach to microcalcifica- tion detection using fuzzy logic technique”, IEEE Trans. on Medical Imaging, Vol. 17, No. 3, pp. 442-450, June 1998.

  85. H. D. Cheng and M. Miyojim, “Novel system for automatic pavement distress de- tection”, Journal of Computing in Civil Engineering, Vol. 12, No. 3, pp. 145-152, 1998.


  86. H. D. Cheng, J. R. Chen, R. I. Freimanis and X. H. Jiang, “A novel fuzzy logic approach to microcalcification detection”, Information Sciences, An International Journal, Vol. 111, No. 1-4, pp. 189-205, Nov. 1998.

  87. R. J. Mueller, H. D. Cheng and A. R. Barakat, “Incoherent radar spectrum pro- cessing using neural network”, Signal Processing, 69, pp. 117-129, 1998.

  88. H. D. Cheng, C. H. Chen, H. H. Chiu and H. J. Xu, “Fuzzy homogeneity approach to multilevel thresholding,” IEEE Trans. on Image Processing, Vol. 7, No. 7, pp. 1084-1088, July 1998.

  89. H. D. Cheng, C. Y. Wu and D. L. Hung, “VLSI for moment computation and its application to breast cancer detection”, Pattern Recognition, pp. 1391-1406, Vol. 31, No. 9, Sept. 1998.

  90. H. D. Cheng and R. Desai, “Scene classification by fuzzy logic moments”, Interna- tional Journal of Pattern Recognition and Artificial Intelligence, Vol. 12, No. 7, pp 921-938, 1998.

  91. H. D. Cheng, J. R. Chen and J. Li, “Threshold selection based on fuzzy c-partition entropy approach”, Pattern Recognition, Vol. 31, No. 7, pp. 857-870, 1998.

  92. H. D. Cheng and Y. M. Lui, “Automatic bandwidth selection of fuzzy membership functions”, Information Sciences, An International Journal, Vol. 103, 1-4, pp. 1-22, 1997.

  93. Changyi Sun, Christopher M. U. Neale, Jefferey J. McDonnell, and H. D. Cheng, “Monitoring land-surface snow from SSM/I data using an artificial neural network classifier”, IEEE Trans. on Geoscience and remote sensing, pp. 801-809, Vol. 35, No. 4, July, 1997.

  94. H. D. Cheng, C. H. Chen and Hui-Hua Chiu, “Image segmentation using fuzzy homogeneity criterion”, Information Sciences, An International Journal, Vol. 98, 1-4, pp. 237-262, 1997.

  95. L. F. Wang and H. D. Cheng, “Discretizing continuous neural networks using a polarization learning rule”, Pattern Recognition, Vol. 30, No. 2, pp. 253-261, 1997.

  96. H. D. Cheng and J. R. Chen, “Automatically determine the membership function based on the maximum entropy principle”, Information Sciences, An International Journal, Vol. 96, Issue 3/4, pp. 163-182, Feb. 1997.

  97. Y. M. Lui and H. D. Cheng, “A new peak selection criterion based on minimiz- ing the classification error”, Information Sciences, Applications, An International Journal, Vol. 94, 1-4, pp. 213-233, 1996.


  98. H. Cheng and H. D. Cheng, “Feasible map algorithm for path planning”, Robotics and Autonomous Systems, Vol. 17, No. 3, pp. 149-170, May 1996.

  99. H. D. Cheng and S. G. Nho, “Transformation of gray level and color images”,

    Information Sciences, Vol. 90, No. 1-4, pp 179-202, April, 1996.

  100. H. D. Cheng and C. Xia, “A novel parallel approach to character recognition and its VLSI implementation”, Pattern Recognition, Vol. 29, No. 1, pp. 97 - 119, Jan. 1996.

  101. H. D. Cheng and M. Miyojim, “Synthesized images for pavement management sys- tem design”, Journal of Computing in Civil Engineering, Vol. 10, No. 1, pp. 60 - 66, 1996.

  102. H. D. Cheng, X. Q. Li, D. Riordan, J. N. Scrimger, A. Foyle and M. A. MacAulay, “Parallel approach for tubule grading in breast cancer lesions”, Information Sci- ences, An International Journal, Applications, Vol. 4, No.2, pp. 119 - 141, Sept. 1995.

  103. H. D. Cheng and C. Xia, “High-level synthesis: current status and future prospects”,

    Circuits, Systems, and Signal Processing, CSSP Vol. 14, No. 3, pp. 351-400, 1995.

  104. J. C. Chou, W. A. O’Neill and H. D. Cheng, “Pavement distress evaluation using fuzzy logic and moment invariants”, Transportation Research Record, No. 1505, pp. 39-46, Transportation Research Board, National Research Council, U.S.A., July 1995.

  105. X. Li, Z. Zhao and H. D. Cheng, “Fuzzy entropy threshold approach to breast cancer detection”, Information Sciences, Applications, An International Journal, Vol. 4, No. 1, pp. 49 - 56, 1995.

  106. H. D. Cheng and X. Cheng, “Shape recognition using a fixed-size VLSI architec- ture”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 9, No. 1, Feb. 1995.

  107. M. Miyojim and H. D. Cheng, “Synthesized images for pattern recognition”, Pat- tern Recognition, Vol. 28, No. 4, pp. 595 - 610, April 1995.

  108. L. Chen, H. D. Cheng and J. Zhang, “Fuzzy subfiber and its application to seis- mic lithology classification”, Information Sciences, Applications, An International Journal, Vol. 1, No. 2, March 1994.

  109. H. D. Cheng and X. Cheng, “Parallel shape recognition and its implementation on a fixed-size VLSI architecture”, Information Sciences, An International Journal, 2, 35-59, 1994.


  110. C.W. Li and H.D. Cheng, “A nonlinear fluid model for pulmonary blood circula- tion”, Journal of Biomechanics, Vol. 26, No. 6, pp. 653-664, 1993.

  111. H.D. Cheng and C. Tong, “Clustering analyzer”, IEEE Trans. on Circuits and Systems, Vol. 38, No. 1, pp 124-128, 1991.

  112. H.D. Cheng, Y.Y. Tang and C.Y. Suen, “VLSI architectures for image transforma- tion”, IEEE Trans. on System Man, and Cybernetics, Vol. 21, No. 2, pp 409-413, 1991.

  113. Y.Y. Tang, H.D. Cheng and C.Y. Suen, “Size-orientation-invariant character recog- nition”, International Journal of Pattern Recognition and Artificial Intelligence, Invited Paper Vol. 5, No. 1 & 2, June 1991.

  114. C.N. Zhang and H.D. Cheng, “High-speed error correcting converter for residue number processing”, IEE Proceedings part E, Vol. 138, No. 4, 1991.

  115. H.D. Cheng, Y.Y. Tang and C.Y. Suen, “Parallel image transformation and its VLSI implementation”, Pattern Recognition, Vol. 23, No. 10, pp. 1113-1129, 1990.

  116. H.D. Cheng, C. Tong and Y.J. Lu, “VLSI curve detector”, Pattern Recognition, Vol. 23, No. 1/2, pp. 35-50, 1990.

  117. Y.J. Lu, Y.Y. Tang, P. Pirard, Y.H. Hsu and H.D. Cheng, “Measurement of pedes- trian flow data using image analysis technique”, Transportation Research Record, Transportation Research Board, National Research Council, U.S.A., No. 1281, 1990.

  118. H.D. Cheng, H. Don and L. Kou, “VLSI architecture for digital picture compari- son”, IEEE Trans. on Circuits and Systems, Special Issue on VLSI Implementation for Digital Image and Video Processing Applications, Vol. 36, No. 10, pp. 1326- 1335, 1989.

  119. H.D. Cheng and K.S. Fu, “VLSI architectures for string matching and pattern matching”, Pattern Recognition, Vol. 20, No. 1, pp. 121-141, 1987.

  120. H.D. Cheng and K.S. Fu, “Algorithm partition and parallel recognition of general context-free languages using fixed-size VLSI architecture”, Pattern Recognition, Vol. 19, No. 5, pp. 361-372, 1986.

  121. H.D. Cheng and K.S. Fu, “VLSI architecture for dynamic time-warp recognition of handwritten symbols”, IEEE Trans. on Acous., Speech, and Signal Proc., Vol. 34, No. 3, pp. 603-613, 1986.

  122. H.D. Cheng, W.C. Lin and K.S. Fu, “Space-time domain expansion approach to VLSI and its application to hierarchical scene matching”, IEEE Trans. on Pattern Anal. and Machine Intell., Vol. 7, No. 3, pp. 306-319, 1985.


  123. H. D. Cheng, “CMOS characteristics and its applications (I)”, Electrical Measure- ment and Instruments, No. 6, June 1976.

  124. H. D. Cheng, “CMOS characteristics and its applications (II)”, Electrical Mea- surement and Instruments, No. 7, July 1976.

  125. H. D. Cheng, “CMOS characteristics and its applications (III)”, Electrical Mea- surement and Instruments, No. 8, Aug. 1976.


BOOK AND BOOK CHAPTERS


  1. H. D. Cheng, X. J. Shi. R. Min. X.P. Cai and H. N. Du, ”Automated Detection of Masses in Mammograms”, Handbook of Pattern Recognition and Computer Vision, 4th edition, C. H. Chen, 2010.

  2. H. D. Cheng, C. Y. Wu and J. G. Li, ”VLSI Architectures for Moments and Their Applications to Pattern Recognition”, Handbook of Pattern Recognition and Com- puter Vision, 4th edition, C. H. Chen, 2010.

  3. H. D. Cheng, eds., Proceedings of the Sixth International Conference on Computer Vision, Pattern Recognition & Image Processing, Association for Intelligent Ma- chinery, 2005.

  4. H. D. Cheng and P. Wang (ed.), Special Issue on Medical Image Processing, Infor- mation Sciences, 2005

  5. H. D. Cheng, X. J. Shi, R. Min, X. P. Cai, and H. N. Du, ”Automated Detection of Masses in Mammograms”, Handbook of Pattern Recognition and Computer Vision,

    C. H. Chen and P. S. P. Wang, eds. World Scientifi 2005.

  6. H. D. Cheng, eds., Proceedings of the Fifth International Conference on Computer Vision, Pattern Recognition & Image Processing, Association for Intelligent Ma- chinery, 2005.

  7. H.D. Cheng, eds., Proceedings of the Fifth International Conference on Computer Vision, Pattern Recognition & Image Processing, Association for Intelligent Ma- chinery, 2003.

  8. H. D. Cheng, eds., Proceedings of the Fourth International Conference on Com- puter Vision, Pattern Recognition & Image Processing, Association for Intelligent Machinery, 2002.

  9. H. D. Cheng, Y. G. Hu, D. L. Hung and C. Y. Wu, “Breast Cancer classification using fuzzy central moments”, Fuzzy Logic in Medicine, S. Barro and R. Marin, eds., Springer-Velerg, 2002.


  10. H. D. Cheng, eds., Proceedings of the Third International Conference on Com- puter Vision, Pattern Recognition & Image Processing, Association for Intelligent Machinery, 2000.

  11. H. D. Cheng, eds., Proceedings of the First International Workshop on Computer Vision, Pattern Recognition & Image Processing, Association for Intelligent Ma- chinery, 1998.

  12. H. D. Cheng, C. Y. Wu and J. Li, “VLSI architectures for moments and their ap- plications to pattern recognition”, Handbook of Pattern Recognition and Computer Vision, 2nd Ed. by C. H. Chen, L. F. Pau and P. S. P. Wang, World Scientific, 1996.

  13. H. D. Cheng and J. R. Chen, “Automatically determine the membership function based on the maximum entropy principle”, in the book Advances in Information Sciences, Vol. IV, ed. by P. P. Wang, 1996.

  14. X. Li, Z. Zhao and H. D. Cheng, “Fuzzy logic approach to breast cancer diagnosis”, in the book Advances in Fault-Diagnosis Problem Solving, by CRC Press, 1993.

  15. R. Plamondon and H. D. Cheng, Pattern Recognition: Architectures, Algorithms and Applications, (edited), World Scientific, 1991.

  16. H. D. Cheng and J. Y. Zhang, “Kalman fi for image restoration and its VLSI implementation”, published in the above book.

  17. Y.Y. Tang, H.D. Cheng and C.Y. Suen, “Size-orientation-invariant character recog- nition”, in the book Character and Handwriting Recognition - Expanding Frontiers, (edited by P.S.P. Wang), World Scientific, 1991.

  18. H.D. Cheng, “Space-time domain expansion approach to VLSI and its application to pattern recognition and image processing”, Ph.D. Thesis, School of Electrical Engineering, Purdue University, West Lafayette, IN 47907, August, 1985.


PAPERS IN REFEREED CONFERENCE PROCEEDINGS


  1. Min Xian, Fei Xu, Heng-Da Cheng*, yingtao zhang,Jianrui Ding, ”EISeg: Effec- tive Interactive Segmentation”, Accepted by International Conference on Pattern Recognition, 2016.

  2. H. Guan, Y. zhang, M. Xian, H. D. Cheng, X. Tang, ”WENN for Individualized Cleaning in Imbalanced Data”, Accepted by International Con- ference on Pattern Recognition, 2016.

  3. F. Xu, M. Xian, H. D. Cheng, ”Unsupervised Saliency Estimation based on Robust Hypotheses”, IEEE WACV, 2016.

  4. H. Shao, Y. Zhang, M. Xian, H.D. Cheng, F. Xu, J. Ding, ”A saliency model for automated tumor detection in breast ultrasound images”, IEEE ICIP, 2015, pp. 1424-1428.

  5. J. Ding, M. Xian, H.D. Cheng, Y. Zhang, F. Xu, ”An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography”, IEEE ICIP, 2015, pp. 4224-4227.

  6. M. Xian, Y. Zhang, H. D. Cheng, ”A Fully Automatic Breast Ultrasound Im- age Segmentation Approach Based on Neutro-Connectedness”, International Con- ference on Pattern Recognition, 2014.

  7. J. Ding, H. D. Cheng, J. Huang, Y. Zhang, ”Multiple-instance learning with global and local features for thyroid ultrasound image classification”, IEEE 7th International Conference on Biomedical Engineering and Informatics (BMEI),66 - 70, 2014.

  8. R.Ni, H.D. Cheng, Y. Zhao, L. Chen, ”ADAPTIVE REVERSIBLE WA- TERMARKING USING TRIMMED PREDICTION AND PIXEL-SELECTION- BASED SORTING”, IEEE China Summit & International Conference on Signal and Information Processing, 2014.

  9. C. Liu, H. D. Cheng and V. Allan, ”Articulated Human Pose Track- ing based On Game Theory”, 20th IEEE international Conference on Image Pro- cessing (ICIP), Melbourne, Australia. Sept. 2013.

  10. R. Ni, H.D. Cheng, Y. Zhao, Z. Zhang, and R. Liu ”Reversible Image Watermarking Based on Neural Network and Parity Property”, International Conference on Multimedia and Ubiquitous Engineering (MUE), Seoul, Korea, May 9-11, 2013. (Lecture Notes in Electrical Engineering, Vol. 240, 2013, pp. 285-292, ISSN:1876-1100) Publisher: Springer Netherlands.

  11. R. Ni, H.D. Cheng, Y. Zhao, Y. Hou, ”High capacity reversible water- marking for images based on classified neural network”, 18th Scandinavian Confer- ence on Image Analysis (SCIA), Espoo, Finland, June 17-20, 2013 (Lecture Notes in Computer Science (LNCS), Vol. 7944, 2013, pp. 697-706. ISSN: 0302-9743) Publisher: Springer Berlin Heidelberg.

  12. R. Ni, H.D. Cheng, Y. Zhao, Y. Hou, ”Error-free Authentication Water- marking Based on Prediction-Error-Expansion Reversible Technique”, 24th IET Irish Signals and Systems Conference (ISSC), Letterkenny, Ireland, June 20-21, 2013.

  13. J. Shan, H. D. Cheng and Y. Wang, ”BREAST ULTRASOUND IMAGE SEG- MENTATION BASED ON NEUTROSOPHIC LMEANS CLUSTERING”, The international Conference on Image Processing (ICIP) 2012.

  14. H. D. Cheng and Y. Zhang, ”Detecting of contrast over-enhancement”, The inter- national Conference on Image Processing (ICIP 2012.

  15. J. Ding, H. D. Cheng, J. Huang, J. Liu and Y. Zhang, ”Multiple-instance learning approach for breast ultrasound image classification”, The international Conference on Image Processing (ICIP 2012.

  16. J. Ding, H. D. Cheng, J. Huang, Y. Zhang and C. Ning, ”A novel quantitative measurement for theroid cancer detection based on elastography”, 4th International Congress on Image and Signal Processing, (CISP), 2011.

  17. Y. Zhang, H. D. Cheng, J. Tian, J. Huang. ”A noval speckle reduction and contrast enhancement method based on fuzzy anisotropic diff IEEE International Conference on Image Processing (ICIP2010), Hong Kong, 2010.

  18. J. Shan, Y. X. Wang and H. D. Cheng, ”Completely Automatic Segmentation for Breast Ultrasound Using Multiple-Domain Features”, Int. Conf. on Image Processing (ICIP2010), Hong Kong, China, September 26-29, 2010.

  19. J. Shan, H. D. Cheng and Y.X. Wang, ”A novel automatic seed point selection algorithm for breast ultrasound images”, 19th International Conference on Pattern Recognition (ICPR 2008), Florida, USA, Dec 8-11, 2008.

  20. Y.X. Wang, H. D. Cheng and J. Shan, ”Detecting shadows of moving vehicles based on HMM”, 19th International Conference on Pattern Recognition (ICPR 2008), Florida, USA, Dec 8-11, 2008.

  21. J. Shan, Y. Wang and C. Yan, ”Toward the recognition code of protein-DNA recog- nition”, Proceedings of IEEE 7th International Symposium on BioInformatics and BioEngineering, pp. 1290 C 1293, 2007.

  22. Ping Guo, Zhenjiang Miao, Yuan Shen, H. D. Cheng, ”Real Time Human Action Recognition in a Long Video Sequence”, 2010 Seventh IEEE International Confer- ence on Advanced Video and Signal Based Surveillance (AVSS).

  23. Yanhui Guo, H.D. Cheng, Jiawei Tian, Yingtao Zhang, ”A Novel Approach to Speckle Reduction to Ultrasound Image”, The 11th Joint Conference on Informa- tion Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  24. Yanhui Guo, H.D. Cheng, Jiawei Tian, Yingtao Zhang, ”A Novel Approach to Breast Ultrasound Image Segmentation Based on the Characteristics of Breast Tis- sue and Particle Swarm Optimization”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.


  25. Yanhui Guo, H.D. Cheng, Wei Zhao, Yingtao Zhang, ” A NOVEL HOUGH TRANS- FORM BASED ON ELIMINATING PARTICLE SWARM OPTIMIZATION AND ITS APPLICATIONS”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  26. Yanhui Guo, H.D. Cheng, Yingtao Zhang, Wei Zhao, ”A NEW NEUTROSOPH- ICAPPRAOCH TO IMAGE THRESHOLDING”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  27. Yanhui Guo, H.D. Cheng, Wei Zhao, Yingtao Zhang, ” A Novel Image Segmentation Algorithm Based on Fuzzy C-means Algorithm and Neutrosophic Set”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  28. Yanhui Guo, H.D. Cheng, Yingtao Zhang and Wei Zhao, ”A New Neutrosophic Approach to Image Denoising”, The 11th Joint Conference on Information Sciences (2008)

  29. Ling Zhang, Ming Zhang, H.D. Cheng, ”An Extended Fuzzy Logic Method for Watershed”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  30. Wen Ju and H. D. Cheng, ”Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set”, The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  31. Juan Shan, H. D. Cheng, Yuxuan Wang, ”A completely automatic segmentation method for breast ultrasound images using region growing”, The 11th Joint Con- ference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  32. Yubo Li, H. D. Cheng, Xianglong Tang and Jiafeng Liu, ”Multi-Class Object Clas- sification and Location of Thermal Imagery in Electric Substation”,The 11th Joint Conference on Information Sciences (2008)

  33. Jia-Wei Tian, Guo-Qing Du, Ying Liu, Min Ren, Ying Wang, Meng Zhang, Xiang- Long Tang, H. D. Cheng and Yan-Hui Guo, ”Evaluation of Risk Area by Myocardial Contrast Echocardiography with a New Computer-aided Method”,The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  34. Bo Liu, H. D. Cheng, Jianhua Huang and Jiafeng Liu, ”Ultrasound Image Segmen- tation Based on Probability Distance and Maximum Likelihood”,The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  35. Jia-Wei Tian, Chun-Ping Ning, Yan-Hui Guo, Xiang-Long Tang, Ying Wang and H. D. Cheng, ”Effect of a Novel Segment Algorithm on Radiologist’s Diagnosis of Masses Using Breast Ultrasound Imaging”,The 11th Joint Conference on Informa- tion Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  36. Yingtao Zhang, H. D. Cheng, Yan-Hui Guo, Jiawei Tian, Jianhua Huang, Bo Liu and Yanxin Su, ”Classification of Breast Masses Using Color Doppler Flow Imag- ing”,The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  37. Bo Liu, H. D. Cheng, Jianhua Huang and Jiafeng Liu, ”Fully Automatic and Segmentation-Robust Classification of Breast Tumors Based on Local Texture Anal- ysis”,The 11th Joint Conference on Information Sciences (2008), ShenZhen, Dec. 15-20, 2008.

  38. Juan Shan, H. D. Cheng and Yuxuan Wang, ”A novel automatic seed point selec- tion algorithm for breast ultrasound images”, International Conference on Pattern Recognition, 2008.

  39. Yuxuan Wang, H. D. Cheng and Juan Shan, ”Detecting Shadows of Moving Vehicles Based on HMM”, International Conference on Pattern Recognition, 2008.

  40. Rui Min and H. D. Cheng, ”A NOVEL DOMINANT COLOR DESCRIPTOR AND ITS APPLICATIONS”, The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.

  41. Rui Min and H. D. Cheng,”IMAGE RETRIEVAL BASED ON RELEVANCE FEEDBACK USING FUZZY SUPPORT VECTOR MACHINE ”,The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.

  42. LIMING HU, H. D. CHENG and XIANGJUN SHI, ”FUZZY MARKOV RAN- DOM FIELD IMAGE SEGMENTATION ALGORITHM AND COMPARATIVE STUDY ”,The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.

  43. MING ZHANG, LING ZHANG and H. D. CHENG, ”FUZZY WATERSHED METHOD FOR IMAGE SEGMENTATION”, The 10th Joint Conference on Information Sci- ences (2007), Salt Lake City, July 15-22, 2007.

  44. WEN JU, JUAN SHAN, CHANGHUI YAN and H. D. CHENG, ”DISCRIMINA- TION OF OUTER MEMBRANE PROTEINS USING FUZZY SUPPORT VEC- TOR MACHINES”, The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.

  45. WEN JU, JUAN SHAN, CHANGHUI YAN and H. D. CHENG, ”DESCRIMINA- TION OF DISEASE-RELATED NON-SYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISM USING FUZZY SUPPORT VECTOR MACHINE ”, The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.

  46. YUXUAN WANG, H. D. CHENG and CHRIS GLAZIER, ”AN IMPROVED AP- PROACH FOR VEHICLE DETECTION AND CLASSIFICATION ”, The 10th Joint Conference on Information Sciences (2007), Salt Lake City, July 15-22, 2007.


  47. H.D. Cheng and Chris Glazier, ”AUTOMATED REAL-TIME PAVEMENT CRACK DETECTION AND CLASSIFICATION”, The 86th Transportation Research Board Annual Meeting, Washignton, DC., Jan. 21-25, 2007.

  48. H.D. Cheng, Manasi Datar, Wen Ju ”NATURAL SCENE SEGMENTATION BASED ON INFORMATION FUSION AND HOMOGENEITY PROPERTY”, The 9th Joint Conference on Information Sciences (2006), Kaohsiung, Aug. 8-11, 2006.

  49. X. Shi, H. D. Cheng and L. Hu, ”Mass detection and classification in breast ultra- sound images using fuzzy SVM”,The 9th Joint Conference on Information Sciences (2006), Kaohsiung, Aug. 8-11, 2006.

  50. H. D. Cheng and Liming Hu, ”A High Performance Edge Detector Based on Fuzzy Logic and Inference Rules”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  51. H. D. Cheng, Liming Hu, Jiawei Tian and Litao Sun, ”A Novel Markov Random Field Segmentation Algorithm and Its Application to Breast Ultrasound Image Analysis”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  52. H. D. Cheng and Rui Min, ”Piecewise Fuzzifi of the Intensity and Texture In- formation for Color Image Enhancement”,The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  53. Rongrong Ni, Qiuqi Ruan, and H.D. Cheng, ”Scalable authentication watermark- ing with high precise based on chaotic sequence”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  54. Rongrong Ni, Qiuqi Ruan, and H.D. Cheng, ”Homogeneity-Based Image Water- marking to Protect ROI”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  55. Shujun Fu, Heng-Da Cheng, Qiuqi Ruan and Wenqia Wang, ”A Coupled Bidirec- tional Flow for Feature Preserving Image Interpolation”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  56. Heng-Da Cheng and Xiangjun Shi, ”Mass Classification Based on Texture Features in Breast Ultrasound Image”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  57. H.D. Cheng, X.Y. Liu and X. J. Shi, ”Automatic Detection of Microcalcification Clusters Using Fuzzy Logic and Wavelet”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.


  58. Y.H. Guo, H.D. Cheng, J.W. Tian and W. Zhao, ”Fuzzy Logic Approach to Breast Ultrasound Image Enhancement”, The 8th Joint Conference on Information Sci- ences (2005), Salt Lake City, Utah, July 21-26, 2005.

  59. Dansong Cheng , Heng-Da Cheng, Xianglong Tang and Zhiguo Yu, ”Bone Image Enhancement Based on Fuzzy Techniques”, The 8th Joint Conference on Informa- tion Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  60. H. D. Cheng, Liming Hu, Xiangjun Shi, C. Glazier and G. Kuhl, ”A Comparative Study on Automated Pavement Crack Detection and Classification Systems”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  61. Ying-Tao Zhang, H. D. Cheng, Xiang-Long Tang, Yan-Hui Guo and Jia-Wei Tian, ”The Database for Digital Breast Sonography”, The 8th Joint Conference on In- formation Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  62. H. D. Cheng and Xiaopeng Cai, ”A Novel Approach to Illuminant Invariant Color Normalization”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  63. G.J. Liu, H.D. Cheng, X.L. Tang, ”A Novel Approach to Track High-Speed Skater”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  64. Jia-Wei Tian, Li-Tao Sun, Yan-Hui Guo, H. D Cheng, ”The Role of Computerized- Aid Diagnosis in Mass Classification Using Ultrasound”, The 8th Joint Conference on Information Sciences (2005), Salt Lake City, Utah, July 21-26, 2005.

  65. H. D. Cheng and X. J. Shi, “Image enhancement using a simple and effective his- togram equalization approach”, The 7th Joint Conference on Information Sciences (2003), Research Triangle Park, North Carolina, Sept. 26-30, 2003.

  66. H. D. Cheng, X. P. Cai, X. W. Chen, L. M. Hu and X. L. Lou, “Detection and classification of microcalcification: A survey”, The 7th Joint Conference on In- formation Sciences (2003), Research Triangle Park, North Carolina, Sept. 26-30, 2003.

  67. H. D. Cheng, X. J. Shi, R. Min, X. Cai, H. N. Du and L. Feng, “A survey on mass detection in mammograms”, The 7th Joint Conference on Information Sciences (2003), Research Triangle Park, North Carolina, Sept. 26-30, 2003.

  68. H. D. Cheng and R. Min, “A novel wavelet approach to contrast enhancement”, The 7th Joint Conference on Information Sciences (2003), Research Triangle Park, North Carolina, Sept. 26-30, 2003.


  69. H. D. Cheng and Muyi Cui, “Mass Lesion Detection with a Fuzzy Neural Network”, The 28th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, April 6- 10, 2003.

  70. H. D. Cheng and Jingli Wang, “Fuzzy logic and scale space approach to microcal- cification detection”, The 28th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, April 6- 10, 2003.

  71. H. D. Cheng, “Automated Real-Time Pavement Crack Detection and Classification System”, An Annual Progress Report of the NCHRP IDEA Program, Transporta- tion Research Board, National Research Council, Jan. 2002.

  72. H. D. Cheng and X. Shi, “Optimum-Interval Interpolation Approach to Real-Time Thresholding”, International Conference on Computer Vision, Pattern Recognition

    & Image Processing (CVPRIP2002), Durham, North Carolina, Mar. 8-14, 2002.

  73. H. D. Cheng and Muyi Cui, “Mass detection using fuzzy neural network”, Interna- tional Conference on Computer Vision, Pattern Recognition & Image Processing (CVPRIP2002), Durham, North Carolina, Mar. 8-14, 2002.

  74. H. D. Cheng and M. Xue, “Novel approach to medical image enhancement”, Inter- national Conference on Computer Vision, Pattern Recognition & Image Processing (CVPRIP2002), Durham, North Carolina, Mar. 8-14, 2002.

  75. O. Adjei, L. Chen, H. D. Cheng, D. H. Cooley, R. J. Cheng and X. Twombly, “A fuzzy search method for rough sets and data mining”, the joint IFSA/NAFIPS 2001 Conference, Vancouver, Canada, on July 25-28, 2001.

  76. H. D. Cheng and M. Xue, “Mammogram contrast enhancement using a novel fuzzy homogeneity measure”, Atlantic Symposium on Computational Biology, Genome Information Systems & Technology 2001.

  77. H. D. Cheng, J. L. Wang, Y. G. Hu and C. Glazier, “A novel approach to pavement crack detection based on neural networks”, TRB annual meeting, Washington, D. C., Jan. 7-11, 2001.

  78. H. D. Cheng, Y. G. Hu, C. Y. Wu and D. L. Hung, “Mammogram classification using fuzzy central moments”, the 4th World Multiconference on Systemics, Cy- bernetics and Informatics (SCI2000) and the 6th International Conference on In- formation Systems Analysis and Synthesis (ISAS2000), Orlando, USA, July 23-26, 2000.

  79. H. D. Cheng and Mei Xue, “Contrast Enhancement Based on Homogeneity”, the 4th World Multiconference on Systemics, Cybernetics and Informatics (SCI2000) and the 6th International Conference on Information Systems Analysis and Syn- thesis (ISAS2000), Orlando, USA, July 23-26, 2000.


  80. H. D. Cheng and J. Li, “Fuzzy homogeneity and scale space approach to color image segmentation”, The third International Conference on Computer Vision, Pattern Recognition & Image Processing, Atlantic City, Feb. 27-Mar. 3, 2000.

  81. H. D. Cheng and Q. Gu, “Microcalcifi detection using fuzzy logic and wavelet”, The third International Conference on Computer Vision, Pattern Recognition & Image Processing, Atlantic City, Feb. 27-Mar. 3, 2000.

  82. H. D. Cheng and X. Jiang, “Homogram thresholding approach to color image segmentation”, The third International Conference on Computer Vision, Pattern Recognition & Image Processing, Atlantic City, Feb. 27-Mar. 3, 2000.

  83. H. D. Cheng and Y. Sun, “Homogeneity approach to color segmentation”, The third International Conference on Computer Vision, Pattern Recognition & Image Processing, Atlantic City, Feb. 27-Mar. 3, 2000.

  84. H. D. Cheng, X. Jiang, J. Li and C. Glazier, “Automated real-time pavement dis- tress analysis”, Transportation Research Board 78th Annual Meeting, Washington DC, Jan. 10-14, 1999.

  85. H. D. Cheng and C. Y. Wu, “Mammogram classification using central moments”, the First International Workshop on Computer Vision, Pattern Recognition & Im- age Processing, Triangle Park, NC., Oct. 23-28, 1998.

  86. H. D. Cheng, P. Tang and H. J. Cheng, “Cardiovascular study using neural net- works”, the First International Workshop on Computer Vision, Pattern Recognition

    & Image Processing, Triangle Park, NC., Oct. 23-28, 1998.

  87. H. D. Cheng, X. H. Jiang, J. Li and C. Glazier, “Automated Pavement Distress Analyser”, the First International Workshop on Computer Vision, Pattern Recog- nition & Image Processing, Triangle Park, NC., Oct. 23-28, 1998.

  88. H. D. Cheng, H. Xu and W. A. Gibby, “Mammogram contrast enhancement us- ing fuzzy logic”, the First International Workshop on Computer Vision, Pattern Recognition & Image Processing, Triangle Park, NC., Oct. 23-28, 1998.

  89. H. D. Cheng, X. H. Jiang and Y. Sun, “A survey on color image segmentation”, the First International Workshop on Computer Vision, Pattern Recognition & Image Processing, Triangle Park, NC., Oct. 23-28, 1998.

  90. H. D. Cheng and Y. H. Chen, “Thresholding Based on Fuzzy Partition of Two- Dimensional Histogram”, 14th International Conference on Pattern Recognition, Brisbane, Australia, Aug. 17-20, 1998.

  91. H. D. Cheng and H. J. Xu, “A Novel Fuzzy Logic Approach to Contrast Enhance- ment”, 14th International Conference on Pattern Recognition, Brisbane, Australia, Aug. 17-20, 1998.

  92. Changyi Sun, C. M. U. Neale and H. D. Cheng, “A neuro-fuzzy approach for monitoring global snow and ice extent with the SSM/I”, 1998 International Geo- science and Remote Sensing Symposium (IGARSS’98), Seattle, Washington, 6-7 July, 1998.

  93. H. D. Cheng and Y. M. Lui, “Multilevel thresholding selection by optimizing multi- ple constrain function”, SPIE International Symposium on Medical Imaging 1998.

  94. H. D. Cheng and Y. H. Chen, “A novel fuzzy entropy approach to thresholding and enhancement”, SPIE International Symposium on Medical Imaging 1998.

  95. D. L. Hung, H. D. Cheng and S. Sengkhamyong, “A reconfigurable hardware ac- celerator for moment computation’, IEEE Int. ASIC Conf., Sept. 7-10, 1997.

  96. M. A. Krumbuegel, R. Trebino, M. L. Searcy, D. H. Cooley and H. D. Cheng, “Application of artificial neural networks to the measurement of ultrashort laser pulses”, Proceedings of SPIE, Vol. 3077, p333-342, April 21-24, 1997.

  97. H. D. Cheng and M. Miyojim, “Automated pavement distress detection system”,

    The Third Joint Conference on Information Sciences (JCIS), 1997.

  98. H. D. Cheng and Y. H. Chen, “A novel entropy approach to image processing”,

    The Third Joint Conference on Information Sciences (JCIS), 1997.

  99. H. D. Cheng, J. R. Chen and R. I. Freimanis, “A novel fuzzy logic approach to microcalcification detection”, The Third Joint Conference on Information Sciences (JCIS), 1997.

  100. D. L. Hung, M. Kormicki, A. Schwarz, H. D. Cheng, and C. Y. Wu, “A reconfig- urable processor array for real-time moment-invariant feature extraction”, IEEE Int. Conf. on Industrial Technology, Shanghai, Dec. 1996.

  101. H. D. Cheng, “Automated real-time pavement distress detection using fuzzy logic and neural networks”, SPIE Nondestructive evaluation techniques for Aging Infras- tructure and Manufacturing, Scottsdale, Arizona, Dec. 3-5, 1996.

  102. H. D. Cheng, J. R. Chen and C. Glazier, “A novel fuzzy logic approach to pavement distress detection”, SPIE Nondestructive evaluation techniques for Aging Infras- tructure and Manufacturing, Scottsdale, Arizona, Dec. 3-5, 1996.

  103. H. D. Cheng, Y. M. Lui and R.I. Freimanis, “A new approach to microcalcification detection in digital mammograms”, IEEE Nuclear Science Symposium & Medical Imaging Conference, Anaheim, California, Nov. 2-9, 1996.

  104. L. F. Wang and H. D. Cheng, “Discretizing continuous Neural Networks Using a Polarization Learning Rule”, 1996 International Conference on Neural Information Processing, Sept. 24-27, 1996, Hong Kong.


  105. H. D. Cheng, Y. M. Lui and R. I. Freimanis, “A fuzzy approach to digital mammo- graphic feature enhancement”, Vision Interface ‘96, Toronto, Canada, May 21-24, 1996.

  106. C. Sun, C. M. U. Neale, J. J. McDonnel and H. D. Cheng, “Snow classification from SSM/I data over veried terrain using an artificial neural network classifier”, 1996 International Geoscience and Remote Sensing Symposium (IGARSS’96), Lincoln, Nebraska, 27-31 May, 1996.

  107. X. Q. Li, Z. Zhao and H. D. Cheng, “Online VQ image sequence coding using ART-based neural network”, Vision Interface ‘96, Toronto, Canada, May 21-24, 1996.

  108. H. D. Cheng and J. R. Chen, “Threshold selection by maximizing the entropy of a fi partition of fuzzy sets”, IASTED International Conference on Signal and Image Processing, Las Vegas, Nevada, Nov. 20 - 23, 1995.

  109. Y. M. Lui and H. D. Cheng, “A new approach for selecting the peaks of the his- togram”, IASTED International Conference on Signal and Image Processing, Las Vegas, Nevada, Nov. 20 - 23, 1995.

  110. R. Mueller, A. Barakat and H. D. Cheng, “Neural network application on incoherent scattering radar radar wave analysis: multi-aspect angle measurements”, IASTED International Conference on Signal and Image Processing, Las Vegas, Nevada, No. 20 - 23, 1995.

  111. C. Sun, H. D. Cheng, C. Neale and J. McDonnell, “SSM/I land surface snow classification using a neural network”, IASTED International Conference on Signal and Image Processing, Las Vegas, Nevada, Nov. 20 - 23, 1995.

  112. R. J. Mueller, A. R. Barakat and H. D. Cheng, “Simultaneous analysis of multi- aspect-angle observations of non-Maxwellian ionospheric plasma: a neural network study”, American Geophysical Union Meeting, Dec. 5 - 9, 1995.

  113. H. D. Cheng and J. R. Chen, “Automatically determine the membership function based on the maximum entropy principle”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995. This paper was nominated for Lotfi A. Zadeh Best Paper Award.

  114. H. D. Cheng and J. R. Chen, “Threshold selection based on fuzzy c-partition en- tropy approach”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  115. H. D. Cheng and Y. M. Lui, “An iterative approach for automatic bandwidth selection of fuzzy membership functions” the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.


  116. H. D. Cheng, C. H. Chen and H. H. Chiu, “Image segmentation using fuzzy ho- mogeneity criterion”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  117. H. D. Cheng and C. Wu, “Novel VLSI architectures for moment computation”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  118. C. Sun and H. D. Cheng, “The use of class means in error backpropagation train- ing for species identification of iris data”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  119. R. J. Mueller, H. D. Cheng and A. R. Barakat, “Neural Network approach to incoherent radar spectrum processing”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  120. Y. M. Liu and H. D. Cheng, “A new criterion for selecting peaks of the histogram and its application to image quantization”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  121. X. Q. Li, Z. W. Zhao and H. D. Cheng, “A novel approach to online VQ image sequence coding”, the Second Annual Joint Conference on Information Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  122. Z. W. Zhao, X. Li and H. D. Cheng, “Real-time image restoration using vector quantization and neural network”, the Second Annual Joint Conference on Infor- mation Sciences (JCIS), Wrightsvill Beach, NC, Sept. 28 - Oct. 1, 1995.

  123. H. D. Cheng, C. H. Chen and R. I Freimanis, “A neural network for breast cancer detection using fuzzy entropy approach”, 1995 International Conference on Image Processing, Washington, DC, Oct. 22 - 25, 1995.

  124. C. Sun, H. D. Cheng, J. McDonnell and C. Neale, “Classification of mountain snow cover from passive microwave measurements using artificial neural network approach”, 1995 International Conference on Acoustics, Speech and Signal Process- ing, Detroit, MI, May 8 - 12, 1995.

  125. H. D. Cheng and W. Chao, “Coronary artery image processing: overview”, Int’l Conf. on Computer Applications on Eng. and Medicine, Indianapolis, IN, Mar. 15-17, 1995.

  126. T. Lee and H. D. Cheng, “Parallel fuzzy entropy approach for grading of venous beading”, Int’l Conf. on Computer Applications on Eng. and Medicine, Indianapo- lis, IN, Mar. 15-17, 1995.


  127. J. Chou, W. A. O’Neill and H. D. Cheng, “Pavement distress evaluation using fuzzy logic”, Transportation Research Board Annual Meeting, Washington, D.C., Jan. 22

    - 28, 1995.

  128. X. Li, Z. Zhao and H. D. Cheng, “Neural networks for adaptive single-pass codebook generation”, International Symposium on Artificial Neural Networks, Taiwan, Dec. 15 - 17, 1994.

  129. R. J. Mueller, A. R. Barakat and H. D. Cheng, “Application of neural network techniques to the interpretation of the incoherent radar spectrum”, American Geo- physical Union Meeting, Dec. 5 - 9, 1994.

  130. H. D. Cheng and R. Desai, “Fuzzy moment approach for character recognition”, International Joint Conference on Information Science, Pinehurst, NC, Nov. 13 - 16, 1994.

  131. Y. M. Lui and H. D. Cheng, “A new edge detection algorithm”, International Joint Conference on Information Science, Pinehurst, NC, Nov. 13 - 16, 1994.

  132. Z. W. Zhao, X. Li and H. D. Cheng, “Maximum entropy image restoration using fuzzy logic”, International Joint Conference on Information Science, Pinehurst, NC, Nov. 13 - 16, 1994.

  133. J. C. Chou, W. A. O’Neill and H. D. Cheng, “Pavement distress classification us- ing fuzzy moments”, International Joint Conference on Information Science, Pine- hurst, NC, Nov. 13 - 16, 1994.

  134. M. Miyojim and H. D. Cheng, “A new philosophy for R & D of PAIPCV algo- rithms”, International Joint Conference on Information Science, Pinehurst, NC, Nov. 13 - 16, 1994.

  135. S. G. Nho and H. D. Cheng, “Transformation of gray level and color images”, International Joint Conference on Information Science, Pinehurst, NC, Nov. 13 - 16, 1994.

  136. T. Lee and H. D. Cheng, “Fuzzy entropy approach for grading of venous beading”,

    Artificial Neural Networks in Engineering, St. Louis, Missouri, Nov. 13 -16, 1994.

  137. R. Desai and H. D. Cheng, “Pattern recognition by local radial moments”, The 12th International Conference on Pattern Recognition, Jerusalem-Israel, Oct. 9-13, 1994.

  138. X. Li, Z. Zhao, H. D. Cheng, C. Huang and R. W. Harris, “Fuzzy logic approach to image segmentation”, The 12th International Conference on Pattern Recognition, pp. 337-341, Jerusalem-Israel, Oct. 9-13, 1994.


  139. J. Chou, W. A. O’Neill and H. D. Cheng, “Pavement distress classification us- ing neural networks”, 1994 IEEE International conference on Systems, Man and Cybernetics, SMC-94, San Antonio, Oct. 2-5, 1994.

  140. J. Chou, W. A. O’Neill and H. D. Cheng, “Evaluation of pavement distress using artificial neural networks”, International Symposium on Advance Transportation Applications - 27Th, Aachen, Germany, Oct 31 - Nov. 4, 1994.

  141. T. Lee and H. D. Cheng, “Parallel grading of venous beading on transputer”, 20th Annual Northeast Bioengineering Conference, Springfi Massachusetts, March 17-18, 1994.

  142. X. Li, S. Carter, G. S. Stiles and H. D. Cheng, “Maximum fuzzy entropy threshold- ing using parallel distributed processing”, 1993 International Conference on Par- allel and Distributed Systems, Taiwan, Dec. 17 -20, 1993.

  143. H. D. Cheng, X. Li and L. Wang, “Parallel VLSI-oriented algorithm and architec- ture for computing complete histogram of images”, SPIE’s Visual Communications ’93, Cambridge, Massachusetts, Nov. 8 - 11, 1993.

  144. H. D. Cheng, C. Xia and C. N. Zhang, “Parallel approach to character recognition and its VLSI implementation”, SPIE’s Visual Communications ’93, Cambridge, Massachusetts, Nov. 8 - 11, 1993.

  145. X. Li, Z. Zhao and H. D. Cheng, “Image enhancement using fuzzy technique”,

    SPIE’s Visual Communications ’93, Cambridge, Massachusetts, Nov. 8 - 11, 1993.

  146. L. Wang, H. D. Cheng and D. H. Cooley, “Training a neural network into a tur- ing machine”, Sixth ISCA* International Conference on Parallel and Distributed Computing Systems, Louisville, KY, Oct 14-16, 1993.

  147. X. Li, Z. Zhao and H. D. Cheng, “An effective fuzzy logic approach to image enhancement”, 2nd International Conference on Fuzzy Theory and Technology, Durham, NC, Oct. 12 - 16, 1993.

  148. Z. Zhao, R. W. Gunderson an H. D. Cheng, “A neural network approach for fuzzy clustering analysis”, 2nd International Conference on Fuzzy Theory and Technology, Durham, NC, Oct. 12 - 16, 1993.

  149. L. Chen, H. D. Cheng and J. Zhang, “Fuzzy subfiber and its application to image segmentation”, 2nd International Conference on Fuzzy Theory and Technology., Durham, NC, Oct. 12 - 16, 1993.

  150. J. Zhang, L. Chen and H. D. Cheng, “Determination of lithology using instance- based learning”, Sixth International Symposium on Artificial Intelligence, Monter- rey, Mexico, Sept. 20-24, 1993.


  151. H. Cheng and H. D. Cheng, “A novel approach for motion planning”, 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, Yokohama, Japan, July 26-30, 1993.

  152. H. D. Cheng and X. Cheng, “Parallel path planning algorithm and its VLSI imple- mentation”, The First Chinese World Congress on Intelligent Control and Intelli- gent Automation, Beijing, Aug. 26 -30, 1993.

  153. H. Cheng, Y. Zheng and H. D. Cheng, “A novel feasible map algorithm for efficient path planning”, IEEE Intelligent Vehicles’93, Tokyo, July 14 - 16, 1993.

  154. A. E. Elssamadisy, A. R. Barakat and H. D. Cheng, “Study of incoherent radar spectrum using neural network techniques”, 1992 American Geophysical Union Fall Meeting, Dec. 7-12, San Francisco.

  155. H. D. Cheng and C. Xia, “An overview of high-Level synthesis”, International Conference on Microelectronics, Monastir, Tunisia, Dec. 19-21, 1992.

  156. X. Li and H. D. Cheng, “A novel visual hardware behavioral language”, Fourth NASA Symposium on VLSI Design, Coeur D’Alene, Idaho, Oct. 29-30, 1992.

  157. L. Chen, H. D. Cheng and J. Zhang, “Fuzzy subfiber and its application to seis- mic lithology classification”, First International Conference on Fuzzy Theory & Technology, Durham, NC, Oct. 14 - 18, 1992.

  158. X. Li, Z. Zhao and H. D. Cheng, “Fuzzy entropy threshold approach to breast cancer detection”, First International Conference on Fuzzy Theory & Technology, Durham, NC, Oct. 14 - 18, 1992.

  159. H. D. Cheng and X. Cheng, “Attribute gramma for shape recognition and its VLSI implementation”, 11th International Conference on Pattern Recognition, Hauge, Netherlands, Aug. 30 - Sept. 3, 1992.

  160. H. D. Cheng and L. Wang, “Energy-based scheduling in high-level synthesis”, 1992 IEEE International Symposium on Circuits and Systems, San Diego, May 10-13 1992.

  161. Z. Shen, P. Gregson, H. D. Cheng and V. Kozousek, “Automated grading of venous beadings: an algorithm and parallel implementation”, SPIE Visual Communica- tions and Image Processing ’91, Boston, Massachusetts, Nov. 11-13, 1991.

  162. H.D. Cheng and X. Cheng, “A parallel approach to shape recognition”, The Fourth UNB Artificial Intelligence Symposium, Augest, 1991.

  163. H.D. Cheng and C. Xia, “Medical image processing of coronary artery: a survey”,

    the Tenth Southern Biomedical Engineering Conference, Atlanta, Oct., 18-21, 1991.


  164. Z. Shen, H.D. Cheng and P.H. Gregson, “Parallel algorithm and its VLSI implemen- tation for automated grading of venous beading”, the Tenth Southern Biomedical Engineering Conference, Atlanta, Oct., 18-21, 1991.

  165. H.D. Cheng and J.Y. Zhang, “VLSI architecture for image restoration”, 1991 IEEE Workshop on Visual Signal Processing and Communications.

  166. C.N. Zhang and H.D. Cheng, “Mapping multiple problem instances into a single systolic array with application to concurrent error detection”, 20th Int’l Conference on Parallel Processing, St. Charles, IL, August 22-26, 1991.

  167. H.D. Cheng, X. Q. Li, D. Riodan, J. N. Scrimger, A. Foyle and M. A. MacAulay, “Parallel algorithms for exemplar based tissue diagnostics and their VLSI imple- mentation”, the Fourth IEEE Symposium on Computer-Based Medical Systems, Maryland, May 12-14, 1991.

  168. M.A. MacAulay, J.N. Scrimger, D. Riodan, A. Foyle and H.D. Cheng, “An in- teractive graphics package with standard examples of the Bloom and Richardson histological grading technique”, the Fourth IEEE Symposium on Computer-Based Medical Systems, Maryland, May 12-14, 1991.

  169. H.D. Cheng, Yuan Y. Tang and Ching Y. Suen, “VLSI architecture for size- orientation-invariant pattern recognition”, IEEE Comp Euro 91, Bologna, May 13-16, 1991.

  170. C.N. Zhang and H.D. Cheng, “A high speed error correction converter for residue number processing”, IEEE Comp Euro 91, Bologna, May 13-16, 1991.

  171. H.D. Cheng, J. Shen and C.N. Zhang, ”A novel neural network for problem solving”,

    IEEE Comp Euro 91, Bologna, May 13-16, 1991.

  172. A. Foyle, M.A. MacAulay, H.D. Cheng, D. Riodan and J.N. Scrimger, “ A frame- work for exemplar based tissue diagnosis”, Proceedings of the APICS Annual Com- puter Science Conference, Monton, New Brunswick, Nov. 3, 1990.

  173. C.W. Li and H.D. Cheng, “A model of human pulmonary circulation and its clini- cal application”, The Ninth Southern Biomedical Engineering Conference, Miami, Florida, Nov. 17-18, 1990.

  174. Q.S. Gao, H.D. Cheng and L.H. Li, “Learning by analyzing the difference of similar problems”, The Fourth International Symposium on Knowledge Engineering, May 1990.

  175. C.W. Li and H.D. Cheng, “A mathematical model for pulmonary blood circula- tion”, The Third IEEE Symposium on Computer-Based Medical Systems, Chapel Hill, North Carolina, June 1990.


  176. J.Y. Zhang and H.D. Cheng, “VLSI implementation of the kalman fi for image restoration”, Vision Interface ’90, Halifax, Canada, May 14-18, 1990.

  177. H.D. Cheng, H. Don and L. Kou, “Parallel digital picture comparison”, Third Annual Parallel Processing Symposium, Orange County, CA, March 29-31, 1989.

  178. Q.S. Gao and H.D. Cheng, “Macro Transform approach to solve indecomposable problems”, Proceedings of the IEEE International Workshop on Tools for Artificial Intelligence, Architectures, Languages and Algorithms, Fairfax, Virginia, October 23-25, 1989.

  179. Q.S. Gao and H.D. Cheng, “Combination of Macro Transform with general problem- solving methods used by human beings”, Proceedings of the International Sympo- sium on Computational Intelligence ’89, Milano, Italy, September 25-29, 1989.

  180. H.D. Cheng, Y.Y. Tang, C.Y. Suen and Q.S. Gao, “VLSI architecture for image transformation”, 1989 COMP EURO, Hamburg, May 8-12, 1989.

  181. Q.S. Gao, H.D. Cheng, C.Y. Suen and L.H. Li, “New approach to solving non- serializable and indecomposable problems and to producing algorithms”, First In- ternational Symposium on Artificial Intelligence, Monterrey, Mexico, October 26- 28, 1988.

  182. Q.S. Gao, H.D. Cheng, C.Y. Suen and L.H. Li, “Macro-transform: a new approach to problem solving”, International Computer Science Conference ’88, Artificial In- telligence: Theory and Applications, Hong Kong, Dec. 19-21, 1988.

  183. Y.Y. Tang, H.D. Cheng and C.Y. Suen, “Size-rotation-invariant character recog- nition”, 1988 International Conference on Computer Processing of Chinese and Oriental Languages, Toronto, Ontario, August 29-September 1, 1988.

  184. H.D. Cheng, H. Sun and J.Y. Zhang, “Parallel image sequence coding by adap- tive vector quantization”, SPIE Visual Communications and Image Processing ’88, Cambridge, Massachusetts, Nov. 9-11, 1988.

  185. H.D. Cheng and C. Tong, “Clustering analyser for pattern recognition”, SPIE Visual Communications and Image Processing, pp. 350-360, Cambridge, Mas- sachusetts, Oct. 26-29, 1987.

  186. H.D. Cheng and C. Tong, “VLSI architectures for curve detection”, IEEE COMP EURO ’87, Hamburg, West Germany, May 11-15, 1987.

  187. H.D. Cheng and L.T. Kou, “Parallel processing for digital picture comparison”, 1986 Space Telerobotics Workshop, pp. 155-161, Jet Propulsion Laboratory, Pasadena, California, Jan. 20-22, 1987.


  188. H.D. Cheng and K.S. Fu, “VLSI architecture for handwritten symbol recognition”, Proc. of the International Conference on Robotics and Automation, pp. 1960-1965, San Francisco, California, April 7-10, 1986.

  189. H.D. Cheng and K.S. Fu, “VLSI architectures for pattern matching using space-time domain expansion approach”, ICCD ’85 IEEE International Conference on Com- puter Design: VLSI in Computers, pp. 181-184, Rey Town Hilton, Port Chester, New York, Oct. 7-10, 1985.

  190. H.D. Cheng and K.S. Fu, “Algorithm partition and parallel recognition of general context-free languages using fi VLSI architectures”, Proc. of the First In- ternational Conference on Supercomputing Systems, pp. 631-640, St. Petersburg, Florida, Dec. 16-20, 1985.

  191. H.D. Cheng and K.S. Fu, “Algorithm partition for a fi VLSI architecture using space-time domain expansion”, Proc. 7th International Symposium on Com- puter Arithmetic, pp. 126-132, Urbana, Illinois, June 5-6, 1985.

  192. H.D. Cheng and K.S. Fu, “Algorithm partition and parallel recognition of general context-free languages using fi VLSI architecture”, (preliminary version), Midwest VLSI Workshop, Ohio State University, Jan. 1985.

  193. H.D. Cheng, W.C. Lin and K.S. Fu, “Space-time domain expansion approach to VLSI and its application to hierarchical scene matching”, Proc. 7th International Conference on Pattern Recognition, pp. 578-580, Montreal, Quebec, July 1984.