List of Publications (Total: 232 items)

 


Most Important Contributions since 2014

 

X. Zhou,  X. Gao, J. Wang, H. Yu, Z. Wang, and Z. Chi, “Eye Tracking Data Guided Feature Selection for Image Classification,” Pattern Recognition, Vol. 63, March 2017, Pages 56-70. (PDF)

 

Brief description: The research findings reported in the paper came from a collaborative research among Soochow University, The Hong Kong Polytechnic University and the University of University, three very good universities in the world. To our best knowledge, this is the first time to use eye tracking technique in feature selection, a very important step for image classification. We propose to leverage the value of eye tracking data for image classification and introduce the concept of human-in-loop machine learning to a pattern recognition task. 

 

J. Chen, Z. Chen, Z. Chi, and H. Fu, “Facial Expression Recognition in Video with Multiple Feature Fusion,” IEEE Transactions on Affective Computing, Vol. 9, No. 1, pp. 38–50, January–March 2018. (PDF)

 

Brief description: Our work on facial expression recognition in video with multiple feature fusion was published in one of top international journals in the field of affective computing.  Video based affective computing has been a long-standing problem and is an extremely important research topic in advanced human-computer interface and robotics. In our study, both visual modalities (face images) and audio modalities (speech) are utilized. Novel feature descriptors were proposed in the paper. We applied the multiple feature fusion to tackle the video-based facial expression recognition problem with a more robust solution compared with the other state-of-the-art methods. This paper has received 33 citations already (from Web of Science Core Collection). As of September/October 2018, this highly cited paper received enough citations to place it in the top 1% of the academic field of Computer Science based on a highly cited threshold for the field and publication year.

 

J. Chen, Z. Chi, and H. Fu, "A New Framework with Multiple Tasks for Detecting and Locating Pain Events in Video," Computer Vision and Image Understanding, Vol. 155, February 2017, Pages 113-123. (PDF)

 

Brief description: Medical diagnoses and assessments are important areas where machine learning and big data can play a very important role.  This is one of a few attempts reported in literature to extend facial recognition techniques to a medical assessment talk --- detecting and locating pain events in video. It is a challenging problem for facial expression analysis due to spontaneous faces, head movements and pose variations. We explore the role of facial information at various time scales and propose a new framework for pain event detection and locating in video with a better performance compared with other state-of-the-art methods.

 

Z. Liang, B.G. Xu, Z. Chi and D. Feng, “Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation,” IEEE Transactions on Cybernetics, Vol. 44, No. 8, pp. 1249–58, DOI: 10.1109/TCYB.2013.2281618, August 2014. (PDF)

 

Brief description: This is a collaborative research between Department of Electronic and Information and Institute of Textiles and Clothing. It is a perfect example to show that our proposed image processing techniques can be applied to textile industry. In this paper, a pioneering study of visual attention model for comparison of multiple images is explored, and a relative saliency model of multiple images is proposed to enable relative saliency evaluation. The performance of our model was well demonstrated in a yarn surface evaluation task.

 


Book

  1. Z. Chi, H. Yan, and T.D. Pham, Fuzzy Algorithms with Applications to Image Processing and Pattern Recognition , World Scientific Publishing, 225 pages, 1996.

Book Chapters

  1. C. Xu, Y. Cai, and Z. Chi, “Stock Investor Behavior Simulation with Hybrid Neural Network and Technical Analysis on Long-term Increases of Hong Kong Hang Seng Index,” Dynamics of Continuous, Discrete & Impulsive Systems, Series A: Mathematical Analysis, Supplement: Advances in Neural Networks, Vol. 14 (S1), pp 624-630, 2007, Watam Press.
  2. J. Song, Z. Chi, Z. Wang, and W. Wang, “Locating Human Eyes Using Edge and Intensity Information,” Lecture Notes in Computer Science 364: Advances in Intelligent Computing, edited by (D.S. Huang), (X.-P. Zhang) and (G.-B. Huang), Part II, pp. 492-501, Springer-Verlag, August 2005.
  3. C. Chen, S. Zhang, Z. Chi, J. Zhang, and L. Li, “An operation semantics exchange model for distributed design,” Lecture Notes in Computational Mathematics: High Performance Computing and Applications, Springer-Verlag, pp. 221-226, July 2005.
  4. W. Sun, K. Lo, and Z. Chi, Scene classification using adaptive processing of tree representation of rectangular-shape partition of images, Lecture Notes in Computer Science: Advances in Neural Networks-ISNN2005, 3497, pp. 274-280, 2005.
  5. Z. Chi, “Data management for live plant identification,” Multimedia Information Retrieval and Management, D. Feng, W.C. Siu, and H. Zhang (Editors), Springer-Verlag, pp. 432-457, 2003.
  6. Z. Wang, Z. Chi, D. Feng and S.-Y. Cho, “Adaptive processing of tree-structure image representation,” Lecture Notes in Computer Science 2195: Advances in Multimedia Information Processing, edited by (H.Y. Shum), (M. Liao) and (S.F. Chang), pp. 989-95, October 2001, Springer-Verlag, New York, U.S.A.
  7. Z. Wang, Z. Chi, D. Feng, and Q. Wang, "Leaf image retrieval with shape features," Lecture Notes in Computer Science 1929: Advances in Visual Information Systems, R. Laurini (Ed.), Springer-Verlag, pp. 477-487, 2000.
  8. Z. Lu, Z. Chi, P. Shi, and E.K. Teoh, "Ranking segmentation paths using fuzzified decision rules," Fuzzy Techniques in Image Processing, E. E. Kerre and M. Nachtegael (Editors), Springer-Verlag, 2000.
  9. Z. Lu, Z. Chi, W.C. Siu, and P. Shi, "A new template representation and extraction method for handwritten digit recognition," Advances in Handwriting Recognition , S.-W. Lee (Editor), World Scientific Publishing, pp. 426-435, 1999.
  10. Z. Wang, Z. Chi, D. Deng, and Y. Yu, "Block-constrained fractal coding scheme for image retrieval," Lecture Notes in Computer Science 1614: Visual Information and Information Systems, D.P. Huijsmans and A.W.M. Smeulders (Eds.), Springer-Verlag Berlin Heidelberg, pp. 673-680, 1999.
  11. M. Jabri, S. Pickard, P. Leong, Z. Chi, E. Tinker, R. Coggins, and B. Flower, "ANN based classification of arrhythmias," Applications of Neural Networks, A.F. Murray (Ed.), Kluwer Academic Publishers, pp. 93-112, 1995.


Dictionary

  1. Z. Chi, Contributor, Comprehensive Dictionary of Electrical Engineering, P.A. Laplante (Editor-in-Chief), CRC Press and IEEE Press, 1999.

Journal Papers

1.      Y. Jiang and Z. Chi, “A CNN Model for Semantic Person Part Segmentation with Capacity Optimization,” IEEE Transactions on Image Processing, Vol. 28, No. 5, pp. 2465-2478, May 2019 (https://doi.org/10.1109/TIP.2018.2886785).

2.      Yang Zheng, Hong Fu , Rui Min Li, Wai Lun Lo, Zhe Ru Chi, David Dagan Feng, Zong Xi Song, De Sheng Wen, " Intelligent Evaluation of Strabismus in Videos Based on Automated Cover Test", Applied Science, 9(4), 731, 2019 (https://doi.org/10.3390/app9040731).

3.      Z. Chen, H. Fu, W.-L. Lo, and Z. Chi, “Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks,” Journal of Healthcare Engineering, Volume 2018, Article ID 7692198, 9 pages, https://doi.org/10.1155/2018/7692198.

4.      S.Y. Li, B.G. Xu, H. Fu, X.M. TAO, and Z. Chi, “A Two-scale Attention Model for Intelligent Evaluation of Yarn Surface Qualities with Computer Vision,” The Journal of the Textile Institute, Volume 109, Issue 6, June 2018, pp. 798-812, https://doi.org/10.1080/00405000.2017.1371870.

5.      J. Chen, Z. Chen, Z. Chi, and H. Fu, “Facial Expression Recognition in Video with Multiple Feature Fusion,” IEEE Transactions on Affective Computing, Vol. 9, No. 1, pp. 38–50, January–March 2018.

6.      X. Zhou,  X. Gao, J. Wang, H. Yu, Z. Wang, and Z. Chi, “Eye Tracking Data Guided Feature Selection for Image Classification,” Pattern Recognition, Vol. 63, March 2017, Pages 56-70.

7.      J. Chen, Z. Chi, and H. Fu, "A New Framework with Multiple Tasks for Detecting and Locating Pain Events in Video," Computer Vision and Image Understanding, Vol. 155, February 2017, Pages 113-123.

8.      J. Chen, Q. Ou, Z. Chi, and H. Fu, "Smile Detection in the Wild with Deep Convolutional Neural Networks," Machine Vision and Applications, February 2017, Volume 28, Issue 1–2, pp 173–183.

9.      S.Y. Li, B.G. Xu, X.M. Tao and Z. Chi, “An Intelligent Computer Method for Automatic Mosaic and Segmentation of Tracer Fiber Images for Yarn Structure Analysis,” Textile Research Journal, Vol. 85, No. 7, pp. 733–50, DOI:  10.1177/0040517514551459, May 2015.

  1. H. Zhang, Z. Chen, Z. Chi and H. Fu, “Hierarchical Local Binary Pattern for Branch Retinal Vein Occlusion Recognition with Fluorescein Angiography Images,” Electronics Letters, Vol. 50, Issue 25, pp. 1902–4, DOI:  10.1049/el.2014.2854, December 2014.
  2. Z. Liang, B.G. Xu, Z. Chi and D. Feng, “Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation,” IEEE Transactions on Systems, Man, and Cybernetics – Part B, Vol. 44, No. 8, pp. 1249–58, DOI: 10.1109/TCYB.2013.2281618, August 2014.
  3. Z. Chen, Jing Wu, and Z. Chi, “A Mutation Particle Swarm Optimization Algorithm for Multilayer Perceptron Training with Applications,” International Journal of Information Acquisition, Vol. 9, No. 1, March 2013.
  4. K. Yu,  Z. Wang, L. Zhuo, J. Wang, Z. Chi, and D. Feng, “Learning Realistic Facial Expressions from Web Images,” Pattern Recognition, Volume 46, Issue 8, August 2013, pp. 21442155.
  5. Q. Wu, Z. Wang, F. Deng, Z. Chi, and D. Feng, “Realistic Human Action Recognition with Multi-modal Feature Selection and Fusion,” IEEE Transactions on Systems, Man, and Cybernetics-Part A, VOL. 43, NO. 4, JULY 2013, pp. 875-885.
  6. Z. Chen, Z.  Chi, H. Fu, and D. Feng, “Multi-instance multi-label image classification: a neural approach,” Neurocomputing, Vol. 99, pp. 298-306, January 2013.

16.  Z. Liang, Z. Chi, H. Fu, and D. Feng, “Salient Object Detection Using Content-Sensitive Hypergraph Representation and Partitioning,” Pattern Recognition,Vol. 45, No. 11, pp. 3886 – 3901, November 2012.

17.  Z. Liang, H. Fu, Z. Chi, and D. Feng,Hypergraph Based Saliency Map Generation with p-ROI Approximation and Validation,” Journal of Electronic Imaging, Vol. 21, No. 1, January 2012.

18.  Z. Chen, H. Fu, Z.  Chi, and D. Feng, “An Adaptive Recognition Model for Image Annotation,” IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, Vol. 42, No. 6, pp. 1120-1127, 2012.

19.  Z. Chen, B. Xu, Z. Chi, and D. Feng,Mathematical Formulation of Knitted Fabric Spirality Using Genetic Programming,” Textile Research Journal, pp. 667-676, Vol. 82, No. 7, 2012.

20.  Z. Liang, B. Xu, Z. Chi, and D. Feng, “Intelligent Characterization and Evaluation of Yarn Surface Appearance Using Saliency Map Analysis, Wavelet Transform and Fuzzy ARTMAP Neural Network,” Expert Systems With Applications, Vol. 39, pp. 4201-4212, 2012.

21.  Y. Zhang, X. Zhao, H. Fu, Z. Liang, Z. Chi, X. Zhao, and D. Feng, A time delay neural network model for simulating eye gaze data, Journal of Experimental and Theoretical Artificial Intelligence, Vol. 23, Issue 1, March 2011, Pages 111 – 126.

22.  H. Fu, Z. Chi, and D. Feng, Recognition of attentive objects with a concept association network for image annotation, Pattern Recognition, Vol. 43, No. 10, pp. 3539-3547, October 2010, U.S.A.

23.  H. Fu, Z. Chi, and D. Feng, “An efficient algorithm for attention-driven image interpretation from segments,” Pattern Recognition, Vol. 42, No. 1, pp. 126-140, January 2009, U.S.A.

24.  Q.H. Huang, M.H. Lu, Y.P. Zheng, and Zheru Chi, Speckle suppression and contrast enhancement in reconstruction of freehand 3D ultrasound images using an adaptive distance-weighted method,” Applied Acoustics, Volume 70, Issue 1, January 2009, Pages 21-30.

25.  W. Zou, Z. Chi, and K. Chuen Lo,Improvement of Image Classification Using Wavelet Coefficients with Structured-Based Neural Network,” International Journal of Neural Systems, Vol. 18, No. 3, pp. 195-205, June 2008.

26.  R. Wang, Z. Chi, X. Wang, and Z. Chen, “Chunk segmentation of Chinese sentences using a combined statistical and rule-based approach (CSRA),”  International Journal of Computer Processing of Oriental Languages (IJCPOL), Vol. 20, No. 2&3, June/September 2007,  pp. 197-218.

27.  H. Fu, Z. Chi, and D. Feng, “Attention-Driven Image Interpretation with Application to Image Retrieval,” Pattern Recognition, Vol. 39, Issue. 9, pp. 1604-1621, 2006, U.S.A.

28.  H. Fu and Z. Chi, “Combined thresholding and neural network approach for vein pattern extraction from leaf images”, IEE Proceedings - Vision, Image & Signal Processing, Volume 153, Issue 6, pp. 881-892, December 2006, U.K.

29.  H. Fu, Z. Chi, and D. Feng, “Object Popping-Out And Characterization Based On The Human Visual Mechanism”, International Journal of Information Technology, Vol. 12, No. 5, 2006, pp, 56-64.

30.  C. Lu, Z. Chi, G. Chen, and D. Feng, “Geometric analysis of particle motion in a vector image field,” Journal of Mathematical Imaging and Vision, Vol. 26, pp. 301-307, 2006. 

31.  Y. Li and Z. Chi, “MR brain image segmentation based on self-organizing map network,” International Journal of Information Technology, Vol. 11, No. 8, 2005, pp, 45-53.

32.  J. Song, Z. Chi, and J. Liu, “A Robust Eye Detection Method Using Combined Binary Edge and Intensity Information,” Pattern Recognition, 39 (2006), pp.  1110-1125, U.S.A.

33.  D.S. Huang, H.S. Ip, C.K. Law, and Z. Chi, “Zeroing polynomials using modified constrained neural network approach,” IEEE Transactions on Neural Networks, Vol. 16, No. 3, pp. 721-732, May 2005, U.S.A.

34.  D.S. Huang, Z. Chi, and W.-C. Siu, “A case study for constrained learning neural root finders,” Applied mathematics and Computation, 165 (2005), pp. 699-718.

35.  D.S. Huang, H.S. Ip, C.K. Law, Z. Chi, and H.S. Wong, “A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials,” Applied Mathematics and Computation, 162 (2005), pp.1183-1200.

36.  R. Wang and Z. Chi, “A Similarity Measure of Chinese Sentence Structures (in Chinese)”, Chinese Information Processing, Vol. 19, No.1, pp. 21-29, 2005.

37.  Q.H. Huang, Y.P. Zheng, M.H. Lu, and Z. Chi, “Development of a portable 3D ultrasound imaging system for musculoskeletal tissues,” Ultrasonics, Vol. 43, No. 3, pp. 153-163, January 2005, U.S.A.

38.  R. Wang, Z. Chi, B. Chang and X. Bai, “Similarity Measure of Chinese Sentences (in Chinese),” Computer Engineering, Vol.31, No.13, pp. 142-144, 2005.

39.  S.Y. Cho and Z. Chi, “Genetic Evolution Processing of Data Structures for Image Classification,” IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 2, pp. 216-231, February 2005, U.S.A.

40.  R. Wang, Z. Chi, B. Chang and X. Bai, “An Improved Chinese Sentence Similarity Measure,” Information, Vol. 8, No. 1, pp. 139-146, January 2005, Japan.

41.  Z. Chi and Q. Wang, “Document image binarization with feedback for improving character segmentation,” International Journal of Image and Graphic, Vol. 5, No. 2 (2005) 281-309, Singapore.

42.  J. Song, J. Liu, Z. Chi, and W. Wang, “Precisely locating human eyes from frontal-view face images,” Journal of Computer-aided Design & Computer Graphics, 17(3), 2005:540-545.

43.  Z. Lu and Z. Chi, “Computational Visual Sensitivity Models - A Review,” International Journal of Information Acquisition, Vol. 1., No. 4, pp. 357-369, December 2004, Singapore.

44.  J. Song, J. Liu, Z. Chi, and W. Wang, “Edge Extraction of Face Images for Expression Analysis (in Chinese),” Journal of Images and Graphics, 9(10), 2004:1182-1189.

45.  R. Wang, Z. Chi, and C. Zhou, “An English-to-Chinese Machine Translation Approach Based on Combining and Mapping Rules (in Chinese),” Computer Engineering and Applications, Vol. 40, No. 30, pp.97-101 & 135, December 2004.

46.  Hong, G. Chen, J. Li, Z. Chi, and D. Zhang, “A Flower Image Retrieval Method Based on ROI Feature,” Journal of Zhejiang University (Science) Vol. 5, No. 7, pp.764-772, July 2004.

47.  D.S. Huang, H.S. Ip, and Z, Chi, “A neural root finder of polynomials based on root moments”, Neural Computation, Vol. 16 No. 8, pp. 1721-1762, 2004.

48.  R. Wang and Z. Chi, “Automatic Chinese chunk segmentation using a neural network,” Computer Engineering, Vol. 30, No. 20, pp.133-135, October 2004.

49.  S. Chen, C. Ho, D. Feng, and Z. Chi, “Tracer kinetic modeling of 11c-acetate applied in the liver with position emission tomography,” IEEE Transactions on Medical Imaging, Vol. 23, No. 4, pp. 426-432, April 2004, U.S.A.

50.  J. Li, G. Chen, Z. Chi, and C. Lu, “Image coding quality assessment using fuzzy integrals with three-component image model,” IEEE Transactions on Fuzzy Systems, vol. 12, no. 1, pp. 99-106, 2004, U.S.A.

51.  H. Fu, Z. Chi, J. Chang, and C.X. Fu, “Leaf vein extraction using a neural network -- studies on the living plant identification I,” Chinese Botanical Bulletin, Vol. 21, No. 4, pp.429-436, August 2004.

52.  D.S. Huang and Z. Chi, “A partition-based recursive approach for finding higher-order polynomial roots using constrained learning neural networks,” Science in China (Series E), Vol. 33, No. 12, pp. 1115-1124, 2003, China.

53.  Z. Wang, Z. Chi, and D. Feng, Shape based Leaf image retrieval using fuzzy integral, Chinese Journal of Electronics, vol.12, No.4, pp.572-578, October 2003, China.

54.  Z. Chi, Q. Wang, and W.C. Siu, “Hierarchical content classification and script determination for automatic document image processing,” Pattern Recognition, Vol. 36, No. 11, pp.2483-2500, November 2003, U.S.A.

55.  S.Y. Cho, Z. Chi, W.C. Siu, and A.C. Tsoi, “An improved algorithm for learning long-term dependency problem in adaptive processing of data structures,” IEEE Transactions on Neural Networks, Vol. 14, No. 4, pp. 781-793, July 2003, U.S.A.

56.  H. Peng, F. Long, and Z. Chi, “Document image recognition based on template matching of component block projections,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 9, pp. 1188-1192, September, 2003, U.S.A.

57.  Z. Wang, Z. Chi, and D. Feng, "Shape based leaf image retrieval," IEE Proceedings - Vision, Image and Signal Processing, Vol. 150, No. 1, pp. 34-43, February 2003, U.K.

58.  D.S. Huang, H.S. Ip, Z. Chi, and H.S. Wong, “Dilation method for finding close roots of polynomials based on constrained learning neural networks”, Physics Letters A, 309 (5-6), pp. 443-451, March 2003.

59.  S.Y. Cho, Z. Chi, Z. Wang, and W.C. Siu, “An efficient learning algorithm for adaptive processing of data structure,” Neural Processing letters, vol. 17, no. 2, pp.175-190, April 2003, the Netherlands.

60.  Z. Wang, Z. Chi, D. Feng, and A.C. Tsoi, "Content-based image retrieval with relevance feedback using adaptive processing of tree-structure image representation," International Journal of Images and Graphics, Vol. 3, No. 1, pp. 119-143, 2003, Singapore.

61.  M. Zhu, Z. Chi, and X. Wang, “Segmentation and Recognition of On-line Pitman Shorthand Outlines Using Neural Networks (in Chinese),” Journal of Zhejiang University (Engineering Science), Vol. 37, No. 5, pp. 532-536 & 550, September 2003, China.

62.  S. Zhao, Z. Chi, P. Shi, and H. Yan, Two-stage segmentation of unconstrained handwritten Chinese characters, Pattern Recognition, Vol. 36, No. 1, pp.145-156, January 2003, U.S.A.

63.  Q. Wang, Z. Chi, and R. Zhao, Image thresholding by maximizing the crispness of 2-D grayscale histogram, Computer Vision and Image Understanding, Vol. 85, No. 2, pp. 100-116, February 2002, U.S.A.

64.  S. Chen, C. Ho, D. Feng, and Z. Chi, “Kinetic modeling of 11C-acetate in hepatocellular carcinoma (abstract),” The Journal of Nuclear Medicine, vol. 43, no. 5, 205P, May 2002 Supplement, U.S.A.

65.  J. Li, G. Chen, and Z. Chi, A fuzzy image metric with application to fractal coding, IEEE Transactions on Image Processing, Vol. 11, No. 6, pp. 636-643, June 2002, U.S.A.

66.  Z. Lu, Z. Chi, and W.C. Siu, "Extraction and optimization of B-spline PBD templates for recognition of connected handwritten digit strings," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, pp. 132-139, January 2002, U.S.A.

67.  H. Peng, F. Long, Z. Chi, and W.C. Siu, "Document image template matching based on component block lists," Pattern Recognition Letters, Vol. 22, No. 9, pp.1033-1042, July 2001, NORTH-HOLLAND.

68.  Z. Xu, S. Xiao, and Z. Chi, ART2 neural network for surface EMG decomposition, Neural Computing & Applications, Vol. 10, No. 1, pp. 29-38, April, 2001, UK.

69.  Q. Wang, R. Zhao, Z. Chi, and D. Feng, A hidden Markov mesh model for handwritten chinese character recognition (in Chinese),” Journal of Northwestern Polytechnical University, Vol. 18, pp. 76-80, September, 2000, China.

70.  H. Peng, F. Long, Z. Chi, D.D. Feng, and W.C. Siu, "Hierarchical genetic image segmentation algorithm based on histogram dichotomy," Electronics Letters, Vol. 36, No. 10, pp. 872-874, May 2000, U.K.

71.  H. Peng, Z. Chi, and W.C. Siu, "A semi-parametric hybrid neural model for nonlinear blind signal separation," International Journal of Neural Systems, Vol. 10, No. 2, pp. 79-93, April, 2000.

72.  Z. Wang, Z. Chi, and D. Feng, "Content-based image retrieval using block-constrained fractal coding and nona-tree decomposition," IEE Proceedings - Vision, Image and Signal Processing, Vol. 147, No. 1, pp. 9-15, February 2000, UK.

73.  Z. Wang, Z. Chi and Y. Yu, "Fractal coding for image retrieval (in Chinese)," Acta Electronica Sinica, Vol. 28, No. 6, pp. 19-23, June 2000, China. 

74.  J. Wang, Y. Wang, and Z. Chi, “Continuous reconstruction of density image from Compton scattered energy spectra with neural network,” IEE Proceedings - Science, Measurement and Technology, Vol. 146, No. 5, pp. 235-239, September 1999, UK.

75.  Z. Chi, Z. Lu, W.C. Siu, and P. Shi, "An evolutionary algorithm for optimizing handwritten numeral templates represented by rational b-spline surfaces," Journal of Advanced Computational Intelligence, Vol. 3, No. 6, pp. 462-466, December 1999.

76.  J. Wang, Z. Chi, and Y. Wang, "Analytic reconstruction of compton scattering tomography," Journal of Applied Physics, Vol. 86, No. 3, August 1999, U.S.A.

77.  Z. Lu, Z. Chi, W.C. Siu, and P. Shi, "A background-thinning-based approach for separating and recognizing connected handwritten digit strings," Pattern Recognition, Vol. 32, No. 6, pp. 921-933, June 1999, U.S.A.

78.  K.C. Chu, Z. Chi, and W.C. Siu, "A neural network approach for language separation of document images," Chinese Journal of Electronics, Vol. 7, No. 4, pp. 381-386, October 1998, China.

79.  J. Kong and Z. Chi, "Image classification using kolmogorov complexity measure with randomly extracted blocks", IEICE Transactions on Information and Systems, Vol. E81-D, No. 11, pp. 1239-1246, November 1998, Japan.

80.  J. Wang, Y. Wang, and Z. Chi, "Neural network approach for compton scattering imaging," Journal of Optical Society of America A, Vol. 15, No. 9, pp.2297-2301, September 1998, U.S.A.

81.  L.-P. Zhang, L.-M. Li, and Z. Chi, "An on-line adaptive neural network for speech recognition," International Journal of Speech Technology, Vol. 2, No. 3, pp. 241-248, September 1998, U.S.A.

82.  Z. Lu, Z. Chi, and W.C. Siu, "Length estimation of digit strings using a neural network with structure based features," Journal of Electronic Imaging, Vol. 7, No. 1, pp. 79-85, January, 1998.

83.  Z. Chi, M. Suters, and H. Yan, "Handwritten numeral recognition using combined ID3-derived fuzzy rules and Markov chains," Pattern Recognition, Vol. 29, No. 11, 1996.

84.  Z. Chi and H. Yan, "ID3-derived fuzzy rules and optimized defuzzification for handwritten numeral recognition," IEEE Transactions on Fuzzy Systems, Vol. 4, No. 1, pp. 24-31, 1996.

85.  Z. Chi and H. Yan, "Feature evaluation and selection based on an entropy measurement with data clustering," Optical Engineering, Vol. 34, No. 12, pp. 3514-9, 1995.

86.  Z. Chi and H. Yan, "Image segmentation using fuzzy rules derived from K-means clusters," Journal of Electronic Imaging, Vol. 4, No. 2, pp. 199-206, 1995.

87.  Z. Chi, M. Suters, and H. Yan, "Separation of single- and double-touching numeral strings," Optical Engineering, Vol. 34, No. 4, pp. 1159-65, 1995.

88.  Z. Chi and H. Yan, "Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters," Neural Networks, Vol. 8, No. 5, pp. 821-7, 1995.

89.  Z. Chi, J. Wu, and H. Yan, "Handwritten numeral recognition using self-organizing maps and fuzzy rules," Pattern Recognition, Vol. 28, No. 1, pp. 59-66, 1995.

90.  Z. Chi and H. Yan, "Map image segmentation based on thresholding and fuzzy rules," Electronics Letters, Vol. 29, No. 21, pp. 1841-3, 1993, IEE, U.K.

91.  Z. Chi and F. Huang, "An algorithm for generating random signals with required amplitude distributions (in Chinese)," Tester and Material Testing, No. 6, pp. 7-13, 1987, China.

92.  Z. Chi, "Packing design and environmental tests (in Chinese)," Packing World, No. 4, P. 8, 1987, China.

93.  Z. Chi and M. Lu, "Design of a general-purpose EPROM programmer (in Chinese)," Development and Applications of Micro- & Mini-Computers, No. 6, pp. 44-47, 1987, China.

94.  Z. Chi and S. Yang, "Generation and statistical analysis of random signals applied to digitally controlled vibration systems (in Chinese)," Journal of Zhejiang University, Vol. 20, No. 5, pp. 13-23, 1986, China.


Conference Papers

1.      M. Sun, J. Wang and Z. Chi, “Eye-tracking based relevance feedback for iterative face image retrieval,” The 2018 10th International Conference on Graphics and Image Processing (ICGIP 2018), P38, Chengdu, China, December 12-14, 2018.

2.      Y. Jiang and Z. Chi, “A Novel Structure of Convolutional Layers with a Higher Performance-Complexity Ratio for Semantic Segmentation,” 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), pp. 193-98, Singapore, November 18-21, 2018.

3.      Y. Jiang and Z. Chi, “Optimizing the Capacity of a CNN for Image Segmentation and Pattern Recognition,” 20th International Conference on Image Analysis and Processing (ICIAP 2018), 29-30 October 2018, Paris, France.

4.      Y. Jiang and Z. Chi, “Person Part Segmentation based on Weak Supervision,” 29th British Machine Vision Conference (BMVC 2018), 3-6 September 2018, Newcastle, U.K.

5.      Y. Zhou, J. Wang and Z. Chi, “Content-based Image Retrieval Based on Eye-tracking,” The tenth anniversary of the ACM Symposium on Eye Tracking Research and Applications (ETRA’2018), Art. No. 9, June 2018, Warsaw, Poland.

6.      Y. Jiang and Z. Chi, “A Fully-Convolutional Framework for Semantic Segmentation,” 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA’2017), Art. No. 8227388, November‒December 2017, Sydney, Australia.

7.      Y. Jiang and Z. Chi, “A Scale-Invariant Framework for Image Classification with Deep Learning,” IEEE International Conference on Systems, Man, and Cybernetics (SMC’2017), Art. No. 8122744, October 2017, Banff, Canada.

8.      J. Li, J. Chen, and Z. Chi, “Smile Detection in the Wild with Hierarchical Visual Feature,” IEEE International Conference on Image Processing (ICIP 2016), pp. 639-643, Phoenix, USA, 25-28 September 2016.

9.      J. Chen, Z. Chi, and H. Fu, “Facial Expression Recognition with Dynamic Gabor Volume Feature,” 2016 IEEE Workshop on Multimedia Signal Processing (MMSP 2016), 21-23 September 2016, Montreal, Canada .

10.  J. Chen, Z. Chen, Z. Chi, and H. Fu, "Dynamic Texture and Geometric Features for Facial Expression Recognition in Video," IEEE International Conference on Image Processing (ICIP 2015), pp. 4967-4971, Quebec City, Canada, 27-30 September 2015.

11.  J. Chen, Z. Chi, and H. Fu, “A New Approach for Pain Event Detection in Video”, IEEE International Conference on Affective Computing and Intelligent Interaction (ACII2015), pp. 250-254, Xi’an, China, 21-24 September 2015.

12.  R. Zhao, Z. Chen, and Z. Chi, “Convolutional Neural Networks for Branch Retinal Vein Occlusion Recognition,” IEEE International Conference on Information and Automation & IEEE International Conference on Automation and Logistics (ICIA2015), pp. 1633 – 1636, (paper id: 797), Lijiang, China, August 8 - 10, 2015.

13.  Y. Hu, Z. Liang, Z. Chi and H. Fu, “A Combined Convolutional Neural Network and Potential Region-Of-Interest Model for Saliency Detection,” 2015 Eleventh International Conference On Natural Computation (ICNC 2015), 15 - 17 August 2015, pp. 154-158, Zhangjiajie, China.

14.  Y. Hu, Z. Chen, Z. Chi and H. Fu, “Learning to Detect Saliency with Deep Structure,” 2015 IEEE International Conference On Systems, Man and Cybernetics (SMC 2015), 9 - 12 October 2015, pp. 1770-1775, Hong Kong.

15.  J. Chen, Z. Chen, Z. Chi, and H. Fu, “Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning,” In Proceedings of the 16th International Conference on Multimodal Interaction (ICMI '14), 508-513, November 2014, Istanbul, Turkey.

16.  J. Chen, Z. Chen, Z. Chi and H. Fu, “Facial Expression Recognition Based on Facial Components Detection and HOG Features,” Proceedings, Advances in Computer Vision (ACV’2014), pp. 64–9, August 2014, Istanbul, Turkey.

17.  Z. Chen, Z. Chi and H. Fu, “A Hybrid Holistic/Semantic Approach for Scence Classification,” Proceedings, 22th International Conference on Pattern Recognition (ICPR’2014), pp. 2299–304, August 2014, Stockholm, Sweden.

18.  Z. Chen, H. Zhang, Z. Chi, and H. Fu, “Hierarchical Local Binary Pattern for Branch Retinal Vein Occlusion Recognition,” The 12th Asian Conference on Computer Vision (ACCV2014) workshop on Robust Local Descriptors for Computer Vision (RoLoD), pp. 687–97, Singapore, 1-5 November 2014.

19.   J. Chen, Z. Chen, Z. Chi, and H. Fu, “Recognition of Facial Action Units with Action Unit Classifiers and an Association Network,” The 12th Asian Conference on Computer Vision (ACCV2014) workshop on Computer Vision for Affective Computing (CV4AC), Singapore, 1-5 November 2014.

20.  Z. Liang, F. Tan, and Z. Chi, “Video-based Biometric Identification Using Eye Tracking Technique, Proceedings, IEEE International Conference on Signal processing, Communications and Computing (ICSPCC 2012).

21.  Z. Chen, Z. Chi, H. Fu, and D. Feng, “Combining Holistic and Object-Based Approaches for Scene Classification,” Proceedings of the 5th International Symposium on Computational Intelligence and Design (ISCID 2012), pp. 65-68, 28-29 October 2012, Hangzhou, China.

22.  Z. Liang, Q. Fu and Z. Chi, “Eye Typing of Chinese Characters,” Proceedings, Symposium: Eye Tracking Research & Applications (ETRA’2012), pp. 237-240, 28-30 March 2012, Santa Barbara, U.S.A.

23.  Y. Zhang, Z. Chi, and D. Feng, “An Analysis of Eye Movement based Authentication Systems,” Proceedings of 2011 International Conference on Computers, Communications, Control and Automation (CCCA2011), Vol. 1, pp. 624-627, February 20-21, 2011, Hong Kong.

24.  Z. Chen, H. Fu, Z. Chi, and D. Feng, “A Neural Network Model with Adaptive Structure for Image Annotation”, Proceedings, the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), pp. 1865-1870, 7-10 December 2010, Singapore.

25.  X. Zhao, Z. Chi, and D. Feng, “An Improved algorithm for Segmenting and Recognizing Connected Handwritten Characters”, Proceedings, the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), pp. 1611-1615, 7-10 December 2010, Singapore.

26.  H. Fu, Z. Chi, and D. Feng, “Combined Retrieval Strategies for Images with and without Distinct Objects,” Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), pp. 72-79, 13-16 December 2010, Sydney, Australia.

27.  Z. Liang, H. Fu, Z. Chi, and D. Feng, “Salient-SIFT for Image Retrieval,” Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), pp. 62-71, 13-16 December 2010, Sydney, Australia.

28.  X. Zhao, C. Xu, Z. Chi, and D. Feng, “A Novel Shape-Based Image Classification Method by Featuring Radius Histogram of Dilating Discs Filled into Regular and Irregular Shapes,” Proceedings of 17th International Conference on (ICONIP 2010), Part I, pp. 239-246, 22-25 November 2010, Sydney, Australia.

29.  Z. Liang, H. Fu, Z. Chi, and D. Feng, “Refining a Region Based Attention Model Using Eye Tracking Data,” Proceedings, 2010 IEEE International Conference on Image Processing (ICIP’2010), pp. 1105-1108, September 2010, Hong Kong.

30.  Z. Liang, H. Fu, Y. Zhang, Z. Chi, and D. Feng, “Content-based Image Retrieval Using a Combination of Visual Features and Eye Tracking Data (best short paper),” Eye Tracking Research and Applications 2010 (ETRA2010), pp. 41-44, 22 - 24 march 2010, Austin, USA.

31.  Y. Zhang, H. Fu, Z. Liang, Z. Chi, and D. Feng, “Eye Movement as an Interaction Mechanism for Relevance Feedback in a Content-Based Image Retrieval System (best short paper),” pp. 37-40, Eye Tracking Research and Applications 2010 (ETRA2010), 22 - 24 march 2010, Austin, USA.

32.  Z. Liang, H. Fu, Z. Chi, and D. Feng, “Image Pre-Classification Based on Saliency Map for Image Retrieval,” Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ISICS-2009), ThM1.5-P0399, 5 pages, 7 – 10 December 2009, Macau, China.

33.  Y.  Zhang , H. Fu, L. Zhen, X. Zhao, Z. Chi, D. Feng, and X. Zhao, “Eye Movement Data Modeling using a Genetic Algorithm,” 2009 IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 1038-1044, Trondheim, Norway, May 18-21, 2009.

34.  H. Fu, S. Zhang, Z. Chi, D. Feng, and X. Zhao, “Tree structures with attentive objects for image classification using a neural network,” 2009 International Joint Conference on Neural Networks, pp. 898-902, Atlanta, Georgia, June 14 – 19, 2009.

35.  R. Wang, X. Wang, and Z. Chi, “A Relevance-feedback-based Method for Weigh Assignment of Words in Chinese Sentence Similarity Measure,” Proceedings of Chinese Lexical Semantics Workshop 2008 (CLSW2008), pp. 225-230, Singapore, July 14-16, 2008.

36.  X. Zhao, C. Xu, Z. Chi,  H. Yan, D. Feng, and G. Chen, “Image Recovery from Broken Image Streams,” Proceedings, 14th IEEE International Conference on Image Processing (ICIP’2007), Part  III, pp. 533 – 536, September 2007, San Antonio, U.S.A.

37.  C. Xu and Z. Chi, “Pattern-Oriented Agent-Based Modeling for Financial Market Simulation,” Proceedings, The Fourth International Symposium on Neural Networks (ISNN’2007), Part I, pp. 630–5, June 2007, Nanjing, China.

38.  R. Wang, Z. Chi, X. Wang and T. Wu, An algorithm for semantic chunk identification of Chinese sentences. Proceedings of the Tenth IASTED International Conference on Intelligent Systems and Control, pp. 231‑234, Nov. 19‑21, 2007, Cambridge, Massachusetts, USA.

39.  C. Xu, X. Zhao, and Z. Chi, Multi-agent modelling of stock market with multiple trading strategies. Proceedings of International Conference 2007 on Information Computing and Automation (ICICA07), Paper IP-1-085, 4 pages, 20 – 22 December 2007, Chengdu, China.

40.  H. Fu, Z. Chi, D. Feng, W. Zou, K.C. Lo and X. Zhao, Pre-classification Module for an All-Season Image Retrieval System,” paper 1688, 5 pages, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.

41.  J. Song, B. Chen, Z. Chi, X. Qiu, and W. Wang, Face recognition based on binary template matching, Proceeding of Third International Conference on Intelligent Computing (ICIC2007), Lecture Notes in Computer Science 4681: Advanced Intelligent Computing Theories and Applications, De-Shuang Huang, Laurent Heutte and Marco Loog (Eds.), Qingdao, China, August 21-24, 2007, pp.1131-1139, Springer-Verlag.

42.  Y. Li, Z. Chi, and D. Feng, “Leaf Vein Extraction Using Independent Component Analysis,” Proceedings, 2006 IEEE International Conference on Systems, Man, and Cybernetics (SMC’2006), pp. 3890–4, October 2006, Taipei, Taiwan.

43.  W. Zou, Y. Li, K.C. Lo, and Z. Chi, “Improvement of Image Classification with Wavelet and Independent Component Analysis (ICA) Based on a Structured Neural Network,” Proceedings, 2006 IEEE World Congress on Computational Intelligence (WCCI’2006), pp. 7680–5, July 2006, Vancouver, Canada.

44.  W. Zou, K.C. Lo, and Z. Chi, Structured-based Neural Network Classification of Images Using Wavelet Coefficients, Proceedings of Third International Symposium on Neural Networks (ISNN2006), Lecture Notes in Computer Science 3972: Advances in Neural Networks-ISNN2006, Chengdu, China, May 28-June 2, 2006, part II: 331-336, Springer-Verlag.

45.  Y. Li and Z. Chi, “MR Brain Image Segmentation Using a Modified Self-organizing Map,” The Proceeding of International Conference On Intelligent Computing, pp. 863-972, August 23-26, 2005, Hefei, China.

46.  H. Fu, Z. Chi, D. Feng, “Object Popping-out and Characterization Based on the Human Visual Mechanism,” International Conference on Intelligent Computing. Pp. 916-924,  August 23-26, 2005. Hefei, China.

47.  H. Fu, Z. Chi, and D. Feng, “Attention-Driven Object Popping-out: Matrix Representation and Efficient Algorithm,” Proceedings of 2005 Asia-Pacific Workshop on  Visual Information Processing, pp.128-133, December 11-13, 2005, Hong Kong, China.

48.  J. Li, Z. Chi, and G. Chen, “Image retrieval based on fuzzy integral,” Proceedings of the Third International Conference on Image and Graphics (ICIG2004), pp. 160-163, Hong Kong, 18-20 December 2004.

49.  Y. Ye, C. Chen, C.-T. Li, H. Fu, and Z. Chi, “A Computerized Plant Species Recognition System,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 723-726, Hong Kong, October 20-22, 2004.

50.  J. Song, Z. Chi, and J. Liu, “Bark Classification by Combining Gray-Scale and Binary Texture Features,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 450-453, Hong Kong, October 20-22, 2004.

51.  H. Fu, Z. Chi, and D. Feng, “Feature Filtering in Relevance Feedback of Image Retrieval Based on a Statistical Apparoach,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 647-650, Hong Kong, October 20-22, 2004.

52.  J. Li, Z. Chi, and G. Chen, “Split decision function based on fuzzy integral,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 534-537, Hong Kong, October 20-22, 2004.

53.  Q. Wang, D. D. Feng, and Z. Chi “B-Spline Over-complete Wavelet Based Fractal Signature Analysis for Texture Image Retrieval,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 462-466, Hong Kong, October 20-22, 2004.

54.  Y.Y. Wan, J.X. Du, D.S. Huang, Z. Chi, Y.M. Cheung, X.F. Wang, and G.J. Zhang “Bark Texture Feature Extraction Based on Statistical Texture Analysis,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 482-485, Hong Kong, October 20-22, 2004.

55.  G.J. Zhang, X.F. Wang, D.S. Huang, Z. Chi, Y.M. Cheung, J.X. Du, and Y.Y. Wan, A Hypersphere Method For Plant Leaves Classification,” International Symposium on Intelligent Multimedia, Video & Speech Processing (ISIMP2004), pp. 165-168, Hong Kong, October 20-22, 2004.

56.  J. Song, J. Liu, Z. Chi, and W. Wang, “Localization of Human Eyes Based on a Series of Binary Images,” 2004 IEEE International Conference on Multimedia and Expo (ICME’2004), pp.1199-1202, Taipei, Taiwan, June 27-30, 2004.

57.  J. Song, Z. Chi, J. Liu, and H. Fu, “Automatic Generation of Pen-and-Ink Drawings from Photos,” International Conference on Image Processing (ICIP2004), pp. 1185-1188, Singapore, October 24-27, 2004.

58.  J. Song, Z. Chi, J. Liu, and H. Fu, “Extraction of Face Image Edges with Application to Expression Analysis,” International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), pp. 804-809, Kunming, China, 6-9 December 2004.

59.  H. Fu, Z. Chi, and D. Feng, and J. Song, “Machine Learning Techniques for Ontology-based Leaf Classification”, International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), pp. 681-686, Kunming, China, 6-9 December 2004.

60.  Z. Wang, D. Feng, and Z. Chi “Comparison of Image Partition Methods for Adaptive Image Processing with Application to Scene Classification,” International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), pp. 676-680, Kunming, China, 6-9 December 2004.

61.  B. Ma and Z. Chi, “Motion Detection and Tracking based on Level Set Algorithm,” International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), pp. 659-664, Kunming, China, 6-9 December 2004.

62.  B. Ma and Z. Chi, “Textured Image Segmentation based on Entropy Theory,” International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), pp.103-108, Kunming, China, 6-9 December 2004.

63.  R. Wang, Z. Chi, and C. Zhou, “An English-to-Chinese Machine Translation Method Based on Combining and Mapping Rules,” Proceedings of Asian Symposium on Natural Language Processing to Overcome Language Barriers, pp.97-102, Sanya, China, March 2004.

64.  Z. Chi, “Biometric information acquisition and fusion for person authentication,” Proceedings of CAS Symposium on Information Acquisition (CASSIA2003), pp. 253-257, Hefei, China, 24-26 November 2003 (invited speaker).

65.  Z. Wang, D. Feng, and Z. Chi, “Region-based binary tree representation for image classification,” International Conference on Neural Networks and Signal Processing (ICNNSP2003), Vol. I, pp. 232-235, Nanjing, Jiangsu, China, December 12-15, 2003.

66.  R. Wang and Z. Chi, “Automatic Segmentation of Chinese Chunks using a Neural Network,” International Conference on Neural Networks and Signal Processing (ICNNSP2003), Vol. I, pp. 96-99, Nanjing, Jiangsu, China, December 12-15, 2003.

67.  Z. Chi, H.Q. Li and C. Wang, “Plant species recognition based on bark patterns using novel Gabor filter banks,” International Conference on Neural Networks and Signal Processing (ICNNSP2003), Vol. II, pp. 1035-1038, Nanjing, Jiangsu, China, December 12-15, 2003.

68.  H. Fu and Z. Chi, “A two-stage approach for leaf vein extraction,International Conference on Neural Networks and Signal Processing (ICNNSP2003), Vol. I, pp. 208-211, Nanjing, Jiangsu, China, December 12-15, 2003.

69.  A. Hong, Z. Chi, G. Chen, and Z. Wang, “Region-of-interest based flower images retrieval,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), Vol. III, pp.589-592, 2003.

70.  S. Zhang, H. Chen, Z. Chi, and P. Shi, “An algorithm for segmenting moving vehicles,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), Vol. III, pp. 369-372, 2003.

71.  S.Y. Cho, Z. Wang, Z. Chi, and W.C. Siu, "Robust Learning in Adaptive Processing of Data Structures for Tree Representation based Images Classification," Proceeding of 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, Vol. II, pp. 108-111, August 11-15, 2002. 

72.  S.Y. Cho, Z. Chi, and W.C. Siu, "Image classification with adaptive processing of BSP image representation," Proceeding of The 6th International Conference on Signal Processing (ICSP'02), Beijing, China, Vol. I, pp. 925-928, August 26-30 2002. 

73.  Q. Wang and Z. Chi, “Hierarchical Content Classification and Script Determination for Automatic Document Image Processing,” International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, Vol. III, pp. 77-80, August 11-15, 2002.

74.  Q. Wang, Q. Wang, D. Feng, R. Zhao, and Z. Chi , “A fast 2D entropic thresholding method using wavelet decomposition,”  IEEE 2002 International Conference on Image Processing (ICIP 2002), Rochester, New York, September 22-25, 2002.

75.  M. Zhu, Z. Chi, and X. Wang, “Segmentation and Recognition of On-line Pitman Shorthand Outlines Using Neural Networks,” the 9th International Conference on Neural Information Processing (ICONIP2002), pp. 2454-2458, Singapore, November 18-22, 2002.

76.  Z. Wang, Z. Chi, and D. Feng, “Structural Representation and BPTS Learning for Shape Classification,” the 9th International Conference on Neural Information Processing (ICONIP2002), pp. 134-138, Singapore, November 18-22, 2002.

77.  Z. Chi, “Structured representation and adaptive processing for pattern recognition and image retrieval (invited speaker),” 2002 Youth Conference of Chinese Institute of Electronics (CIE-YC’2002), pp. 9-10, Hefei, China, 13-18 August 2002.

78.  Z. Chi and Q. Wang, “Script Determination of Mixed Chinese/English Document Images Using Kolmogorov Complexity Measure,” Proceedings of Second International Conference on Image and Graphics (ICIG 2002), pp. 686-692, Hefei, China, 15-18 August 2002. 

79.  C. Lu, Z. Chi, G. Chen, D. Zhang, and D. Feng, “Edge detection from edge knots in live plant image processing,” Proceedings of Second International Conference on Image and Graphics (ICIG 2002), pp. 260-267,  Hefei, China, 15-18 August 2002.   

80.  Z. Wang, Z. Chi, and D. Feng, “Fuzzy Integral for Leaf Image Retrieval,” Proceedings of the 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2002), pp. 372-377, May 12-17, 2002, Honolulu, Hawaii, USA.

81.  Z. Wang, M. Hagenbuchner, A.C. Tsoi, S.Y. Cho, Z. Chi, “Image Classification with Structured Self-Organization Map,” Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN2002), pp.1918-1923, May 12-17, 2002, Honolulu, Hawaii, USA.

82.  J. Li, G. Chen, Z. Chi and C. Lu, “A three-step objective image quality assessment method,” in Proc. of the Int. Conf. on Virtual Reality and its Application in Industry (VRAI 2002), pp. 526-531, April 9-12, 2002, Hangzhou, China.

83.  D.S. Huang and Z. Chi, Neural Networks with Problem Decomposition for Finding Real Roots of Polynomials,2001 Int. Joint Conf. On Neural Networks (IJCNN2001), Washington, DC, Vol. Addendum, pp. A25-30, July 15-19, 2001.

84.  D.S. Huang and Z. Chi, Solving Linear Simultaneous Equations by Constraining Learning Neural Networks,2001 Int. Joint Conf. On Neural Networks (IJCNN2001), Washington, DC, Vol. Addendum, pp. A31-26, July 15-19, 2001.

85.  D.S. Huang and Z. Chi, Finding Complex Roots of Polynomials by Feedforward Neural Networks,” 2001 Int. Joint Conf. On Neural Networks (IJCNN2001), Washington, DC, Vol. Addendum, pp. A13-18, July 15-19, 2001.

86.  D.S. Huang and Z. Chi, Constraining Learning Linear Neural Networks for Inverting of Complex Matrices,” 2001 Int. Joint Conf. On Neural Networks (IJCNN2001), Washington, DC, Vol. Addendum, pp. A7-12, July 15-19, 2001.

87.  G. Chen, J. Li and Z. Chi, “A fuzzy metric for image quality assessment,” the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2001), vol. 2, December 2-5, 2001, Melbourne, Australia.

88.  Q. Wang, Z. Chi, D. Feng, and R. Zhao, “Match between Normalization Schemes and Feature Sets for Handwritten Chinese Character Recognition,” Sixth International Conference on Document Analysis and Recognition (ICDAR2001), pp. 551-555, Seattle, Washington, U.S.A., September 10-13, 2001.

89.  S. Zhao, Z. Chi, P.F. Shi, and Q. Wang, “Handwritten Chinese character segmentation using a two-stage approach,” Sixth International Conference on Document Analysis and Recognition (ICDAR2001), pp. 179-183, Seattle, Washington, U.S.A., September 10-13, 2001.

90.  S.K. Yip and Z. Chi, “Page Segmentation and Image Content Classification for Automatic Document Image Processing,” 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP2001), pp. 279-282, Hong Kong, May 2-4, 2001.

91.  Z. Chi and K.W. Wong, “A Two-stage Approach for Document Image Binarization,” 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP2001), pp. 275-278, Hong Kong, May 2-4, 2001.

92.  Q. Wang, R. Zhao, Z. Chi, and D. Feng, “HMMRF: A stochastic model for offline handwritten Chinese character recognition,” Proceedings of the 5th International Conference on Signal Processing (ICSP2000), pp. 1475-1478, Beijing, China, August 2000.

93.  Q. Wang, Z. Chi, D. Feng, and R. Zhao, “Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition,” Proceedings of 15th International Conference on Pattern Recognition (ICPR2000), Vol. 2, pp. 347-350, Barcelona, Spain, September 3-7, 2000.

94.  Z. Wang, Z. Chi, and D. Feng, “Leaf image retrieval using a two-step approach with shape features,” Proceedings of 2000 IEEE Pacific-Rim Conference on Multimedia (PCM2000), pp. 380-383, Sydney, Australia, December 12-15, 2000.

95.  H. Peng, F. Long, Z. Chi, and W.C. Siu, “A hierarchical distributed genetic algorithm for image segmentation,” Proceedings of 2000 Congress on Evolutionary Computation (CEC2000), Vol. 1, pp. 272-276, July 2000, San Diego, U.S.A.

96.  H. Peng, F. Long, W.C. Siu, Z. Chi, and D.D. Feng, “Document image matching based on component blocks,” Proceedings of IEEE International Conference on Image Processing (ICIP2000), Vol. 2, pp. 601-604, September 2000, Vancouver, Canada.

97.  H. Peng, Z. Chi, W.C. Siu, and D. Feng, “PageX: An integrated document processing and management software for digital libraries,” Proceedings of International Workshop on Multimedia Data Storage, Retrieval, Integration and Applications (MMWS2000), pp. 207-211, January 2000, Hong Kong.

98.  H. Peng and Z. Chi, “Approaching the Post Non-linearity of Blind Mixtures by Hybrid Neural Networks,” 1999 International Conference on Neural Networks (IJCNN'99), Washington, D.C., July 10-16, 1999.

99.  G. Chen, Z. Chi, and D. Zhang, “Fractal Image Coding Based on Improved Domain Pools,” 1999 International Conference on Imaging Science, Systems, and Technology (CISST'99), pp. 210-214, June 28-July 1, 1999.

100.                      J. Kong, Z. Chi, and W. Lu, “Electrocardiogram compression using modulus maxima of wavelet transform,” the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'98), pp. 1527-1530, 29 October - 1 November 1998, Hong Kong.

101.                      K.C. Chu and Z. Chi, “An automatic form reading system,” Proceedings of the 2nd IEEE International Conference on Intelligent Processing Systems (ICIPS'98), pp. 497-501, August 4-7, 1998, Gold Coast, Queensland, Australia.

102.                      Z Chi and J. Kong, “Image content classification using a block Kolmogorov complexity measure,” Proceedings of the Fourth International Conference on Signal Processing (ICSP'98), pp. 1185-1188, October 12-16, 1998, Beijing, China.

103.                      M.Y. Chiu and Z. Chi, "A neuro-fuzzy classifierfor language determination of textual document images," Proceedings of 1998 International Conference onNeural Networks and Brain, pp. 134-137, October 27-30, 1998, Beijing, China.

104.                      K.C. Chu and Z. Chi, "A neural network model for language determination of textual document images, "Proceedings of 1998 International Conference on Neural Networks and Brain, pp. 597-600, October 27-30, 1998, Beijing, China.

105.                      Z. Lu, Z. Chi, and P.F. Shi, "A background-thinning based approach for separating and recognizing connected handwritten digit strings, "Proceedings of 1998 International Conference on Acoustics, Speech and Signal Processing (ICASSP'98), Vol. II, pp. 1065-1068, May 12 -15, 1998, Seattle, U.S.A.

106.                      L. Zhang, Z. Chi, and K.C. Chu,"A dynamic recognition neural network for keywords matching in document processing," China Fourteen National Conference on Circuits and Systems, pp. 382-385, Fuzhou, China, April 7-10, 1998. (Invited Paper)

107.                      Z. Chi, Z. Lu, and F.H. Chan, "Multi-Channel Handwritten Digit Recognition Using Neural Networks,"1997 IEEE International Symposium on Circuits and Systems, June 9-12,1997, Hong Kong.

108.                      Z. Chi and H. Yan, "Combined Fuzzified Decision Rules and Optimized Prototypes for Handwritten Digit recognition, "Proceedings, 1997 Real World Computing Symposium, pp. 268-273, 29-31 January, 1997, Tokyo, Japan.

109.                      Z. Chi, "Patient Adaption and Output Smoothing for ICEG Classification," Proceedings, International Conference on Biomedical Engineering (BME'96), 3-5 June, 1996, Hong Kong.

110.                      Z. Chi, "Neural Networks for Fuzzy Rule Based Classifiers," Proceedings, 1995 International Symposium on Artificial Neural Networks (ISANN'95), Vol. 1, pp. 33-6, Hsinchu, Taiwan, 1995. (Invited Paper).

111.                      Z. Chi, "An MLP Based Approach for Feature Evaluation and Selection," Proceedings, International Conference on Neural Networks and Signal Processing (ICNNSP'95), pp. IS- 18-23, 10-3 December 1995, Nanjing, China.

112.                      Z. Chi, "MLP Classifiers: Overtraining and Solutions," Proceedings, 1995 IEEE International Conference on Neural Networks (ICNN'95), Vol. 5, pp. 2821-4, November-December 1995, Perth, Australia.

113.                      Y. Zhang, Z. Chi, and R.A. Willgoss, "Navigation of a Mobile Robot in an Unknown Terrain using an MLP Network," Proceedings, 5th Australian Conference on Neural Networks (ACNN'94),pp. 64-7, February 1994, Brisbane, Australia.

114.                      Z. Chi and H. Yan, "AVQ Based Fuzzy Rules for Image Segmentation," Proceedings, the 5thAustralian Conference on Neural Networks (ACNN'94), pp. 137-40, February 1994, Brisbane, Australia.

115.                      Y. Zhu, Z. Chi, and H. Yan, "Brain Image Segmentation using Fuzzy Classifiers," Proceedings, Second Australian and New Zealand Conference on Intelligent Information Systems (ANZIIS'94), pp. 244-7, 29 November-2 December 1994, Brisbane, Australia.

116.                      Y. Zhu, Z. Chi, and H. Yan, "A Fuzzy Rule Based Clustering Algorithm for Medical Image Segmentation," Proceedings, International Symposium on Information Theory & Its Applications(ISITA'94), pp. 177-9, November 1994, Sydney, Australia.

117.                      Z. Chi and H. Yan, "Segmentation of Geographic Map Images using Fuzzy Rules," Proceedings, Digital Image Computing: Techniques and Applications, Vol. 1, pp. 95-101, 1993, Sydney, Australia.

118.                      Z. Chi and M. Jabri, "An Entropy Based Feature Evaluation and Selection Technique, "Proceedings, 4th Australian Conference on Neural Networks, pp. 193-6, 1993, Melbourne, Australia.

119.                      Z. Chi and M. Jabri, "A Multi-Module Neural Network Approach for ICEG Classification," Proceedings, 3th Australian Conference on Neural Networks, pp. 29-32, 1992, Canberra, Australia.

120.                      M. Jabri, S. Pickard, P. Leong, Z. Chi, B. Flower, and Y. Xie, "ANN Based Classification for Heart Defibrillators," Advance in Neural Information Processing Systems 4, J.E. Moody, S.J. Hanson and R.P. Lippmann (Ed.), pp. 637-44, 1991.

121.                      Z. Chi and M. Jabri, "Identification of Supraventricular and Ventricular Arrhythmias Using a Combination of Three Neural Networks," Computers in Cardiology, pp. 169-72, 1991, Venice, Italy.

122.                      Z. Chi and M. Jabri, "A Comparison of MLP and ID3-derived Approaches for ECG Classification," Proceedings, 2nd Australian Conference on Neural Networks, pp. 263-6, 1991, Sydney, Australia.

123.                      Z. Chi and M. Jabri, "Neural Networks for QRS Classification," Proceedings, 2nd IASTED International Symposium on Signal Processing and Its Applications, pp. 858-61, August 1990, Gold Coast, Australia.

124.                      Z. Chi and M. Jabri, "Classification of QRS Complexes Using a Layered Feed-Forward Network," Proceedings, the First Australian Conference on Neural Networks, pp. 59-63, 1990, Sydney, Australia.


 Translation

  1. G. Chen, D. Zhang, and Z. Chi, "Applied Mathematics Meets Signal Processing," Applied Mathematics - Journal of Chinese Universities, Vol. 14, Serial. A, No. 3, pp. 350-366, 1999, China (in Chinese, translated from the paper of the same title by Stephane Mallat, published in the Proceedings of the 1998 International Congress of Mathematicians, Vol. 1, pp. 319-338, August 18-27, Berlin, Germany).

 

 

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