Selected publications:

J. Journal papers

J.1. Cheng-Yuan Liou and Chih-Chi Chang (1988), The determination of modal damping ratios and natural frequencies from bispectrum modeling, Mechanical Systems and Signal Processing, vol. 2, no. 4, pages 391-401, Academic Press, SCI

J.2. Cheng-Yuan Liou and Tzong-Shine Jeng (1989) The determination of mode shapes from modern cross-spectral estimates. Mechanical Systems and Signal Processing, vol. 3, no. 3, pages 291-303, Academic Press, SCI

J.3. Cheng-Yuan Liou and Ruey-Ming Liou (1989) Spatial pseudo-random array processing. IEEE Trans on Acoustic, Speech, and Signal Processing, vol. 37, no. 9, pages 1445-1449. SCI&EI, tutorial package

J.4. Cheng-Yuan Liou and Chien-Chih Shen (1990). Damping ratio estimation using hybrid methods. Mechanical Systems and Signal Processing. vol. 4, no. 4, pages 279-286, Academic Press, SCI

J.5. Cheng-Yuan Liou and Bruce R. Musicus (1990). Separable cross-entropy approach to power spectrum estimation. IEEE Trans. on Acoustics, Speech and Signal Processing. Vol. 38, No. 1, pages 105-113. SCI&EI tutorial package

J.6. Shiao-Lin Lin, Jiann-Ming Wu , and Cheng-Yuan Liou (1992). Annealing by perturbing synapses. IEICE Trans. on Information and Systems. Vol. E75-D, No. 2, pages 210-218. SCI

J.7. Shiao-Lin Lin, Yi-Jean Tsai , and Cheng-Yuan Liou (1993). Conscious mental tasks with their EEG signals. Medical & Biological Engineering & Computing Vol. 31, pages 421-425. SCI&EI, cover story in New Scientist

J.8. Cheng-Yuan Liou and Jiann-Ming Wu (1996), Constructing a vector field to accomplish autonomous navigation, Journal of Information Science and Engineering. Vol. 12, pages 443-465, SCI&EI, full text / package download, preview 1, preview 2, preview 3, preview 4

J.9. Cheng-Yuan Liou and Jiann-Ming Wu (1996). Self-organization using Potts models. Neural Networks. Vol. 9, No. 4, pages 671-684. SCI&EI

J.10. Cheng-Yuan Liou and Hsin-Chang Yang (1996). Handprinted character recognition based on spatial topology distance measurement. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.18, no.9, pages 941-945. SCI&EI, tutorial package, usage

J.11. Cheng-Yuan Liou and Quan-Ming Chang (1997). Neural mesh for the Steiner tree problem, Journal of Information Science and Engineering, special issue on Neural Network, vol. 13, No.2, pages 335-354, SCI&EI, preview1, preview2

J.12. Cheng-Yuan Liou and Wen-Pin Tai (1998), Maximum A Posteriori Restoration of Blurred Image Using Self-Organization, Journal of Electronic Imaging, Special Issue on Computational Intelligence in Image Processing, January, vol. 7(1), pages 86-93. SCI

J.13. Cheng-Yuan Liou and Hsin-Chang Yang (1999), Selective feature-to-feature adhesion for recognition of cursive handprinted characters, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 2, pages 184-191. SCI&EI, preview

J.14. Cheng-Yuan Liou and Wen-Pin Tai (1999), Conformal self-organization for continuity on a feature map, Neural Networks, vol. 12, pages 893-905, SCI&EI,preview

J.15. Cheng-Yuan Liou, Shao-Kuo Yuan (1999), Error Tolerant Associative Memory, Biological Cybernetics, vol. 81, pages 331-342, SCI, tutorial+code, package link, package download (Appendix)

J.16. Cheng-Yuan Liou and Wen-Pin Tai (2000), Conformality in the self-organization network, Artificial Intelligence, vol. 116, pages 265-286, SCI&EI

J.17. Wen-Pin Tai and Cheng-Yuan Liou (2000), Image representation by self-organizing conformal network, The Visual Computer, vol. 16, Issue 2, pages 91-105, SCI&EI, preview

J.18. Cheng-Yuan Liou and Yen-Ting Kuo (2005), Conformal Self-organizing Map for a Genus Zero Manifold, The Visual Computer, vol. 21, no. 5, pages 340-353, SCI&EI, preview

J.19. Cheng-Yuan Liou, Jau-Chi Huang, and Yen-Ting Kuo (2005), Geometrical Perspective on Learning Behavior, Journal of Information Science and Engineering, vol. 21, no. 4, pages 721-732, SCI, color version PDF, source code, preview

J.20. Cheng-Yuan Liou and Shiao-Lin Lin (2006), Finite memory loading in hairy neurons, Natural Computing, vol. 5, no. 1, pages 15-42. tutorial energy.ppt download,tutorial+code, package link, package download

J.21. Cheng-Hung Chuang, Philip E. Cheng, Michelle Liou, Cheng-Yuan Liou, and Yen-Ting Kuo (2007), Application of Self-Organizing Map (SOM) for Cerebral Cortex Reconstruction, pdf, The International Journal of Computational Intelligence Research, vol. 3, no. 1, pages 26-30

J.22. Cheng-Yuan Liou and Bruce R. Musicus (2008), Cross Entropy Approximation of Structured Gaussian Covariance Matrices, IEEE Trans. on Signal Processing, vol. 56, issue 7, Part 2, pages 3362-3367

J.23. Michael Jyh-Ying Peng, John AD Aston, Roger N Gunn, Cheng-Yuan Liou and John Ashburner (2008), Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning, IEEE Trans on Medical Imaging, vol. 27, no. 9, pages 1356-1369, September 2008.

J.24. Cheng-Yuan Liou, Jau-Chi Huang and Wen-Chie Yang (2008), Modeling Word Perception using the Elman Network, Neurocomputing, vol. 71, pages 3150–3157, 2008. (Supplementary material on RSM values listed in Table 3 in J.24)

J.25. Cheng-Yuan Liou, Yen-Ting Kuo and Jau-Chi Huang (2008), Conformal Self-organizing Map on Curved Seamless Surface, Neurocomputing, vol. 71, pages 3140-3149, 2008.

J.26. Cheng-Yuan Liou, Tai-Hei Wu, Chia-Ying Lee (2010), Modelling Complexity in Musical Rhythm, Complexity, vol. 15, no. 4, pages 19-30, 2010.

J.27. Wei-Chen Cheng and Cheng-Yuan Liou (2010), Manifold Construction Based on Local Distance Invariance, Memetic Computing, vol. 2, issue 2, pages 149-160, 2010.

J.28. Cheng-Yuan Liou, Ming-Shing Chen and Daw-Chih Liou (2011), Information in Hierarchical Modular System, Frontiers of Electrical and Electronic Engineering in China, vol. 6, no. 1, pages 181-189, 2011.

J.29. Jyh-Ying Peng, John A. D. Aston, Cheng-Yuan Liou (2011), Modeling Time Series and Sequences Using Markov Chain Embedded Finite Automata, International Journal of Innovative Computing, Information and Control, vol. 7, no. 1, pages 407-431, January 2011.

J.30. Wei-Chen Cheng, Jau-Chi Huang, Cheng-Yuan Liou (2012), Segmentation of DNA Using Simple Recurrent Neural Network, Knowledge-Based Systems, vol. 26, pages 271-280, February 2012.

J.31. Wei-Chen Cheng (2012), Visualization Human Genes on Manifolds Embedded in Three-Dimensional space, International Journal of Intelligent Information and Database Systems, vol. 6, no. 1, pages 45-60, 2012.

J.32. Cheng-Yuan Liou, Hong-Yi Shih, Daw-Ran Liou (2012), Finite Geometrical Relations Loading in Hopfield Model, Journal of Theoretical and Applied Computer Science, vol. 6, no. 4, pages 59-76, 2012.

J.33. Cheng-Yuan Liou, Shen-Han Tseng, Wei-Chen Cheng, and Huai-Ying Tsai (2013), Structural Complexity of DNA Sequence, Computational and Mathematical Methods in Medicine, Special Issue: Biomedical Signal Processing and Modeling Complexity of Living Systems, vol. 2013, Article ID 628036, 11 pages, 2013.

J.34. Jiun-Wei Liou, Wei-Chen Cheng, Jau-Chi Huang, and Cheng-Yuan Liou (2013), Distributed Representation of Word by Using Elman Network, International Journal of Intelligent Information and Database Systems, vol. 7, no. 4, pages 373-386, 2013.

J.35. Cheng-Yuan Liou, Chen-Wei Cheng, Jiun-Wei Liou, and Daw-Ran Liou, Autoencoder for Words, Neurocomputing, vol. 139, pages 84-96, 2014.

J.36. Jiann-Ming Wu, Pei-Hsun Hsu, and Cheng-Yuan Liou, Sudoku Associative Memory, Neural Networks, vol. 57, pages 112-127, 2014.

J.37. Cheng-Yuan Liou, Aleksandr A. Simak, and Jiun-Wei Liou, Structure sensitive complexity for symbol-free sequences, Applied Informatics, vol. 2:6, doi: 10.1186/s40535-015-0011-9. 2015.

J.38. Cheng-Yuan Liou, Aleksandr A. Simak, and Wei-Chen Cheng, Complexity analysis of music, Volume 21, Issue S1, Complexity, September/October 2016, Pages 263–268, doi: 10.1002/cplx.21740. 2016.

B. LNCS papers and book chapters

B.1. Cheng-Yuan Liou and Un-Cheong Sou (2003), Loading temporal associative memory using the neuronic equation, ICANN/ICONIP, The 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing, ICONIP, June 26-29, in edited book published by LNCS 2714, pp 52-59, Istanboul, Turkey, Solution space of Boolean algebra.

B.2. Cheng-Yuan Liou (2006), Backbone structure of hairy memory, ICANN, The 16th International Conference on Artificial Neural Networks, September 10-14, in edited book published by LNCS 4131, Part I, pp 688-697, Athens Greece, (EI). tutorial ICANN2006.ppt download, tutorial+code, package link, package download

B.3. Cheng-Yuan Liou, Jau-Chi Huang and Wen-Chie Yang (2006), Semantic addressable encoding, ICONIP, The 13th International Conference on Neural Information Processing, October 3-6, in edited book published by LNCS 4232, pp 183-192, Hong Kong, (EI). 3 tutorial package links

B.4. Cheng-Yuan Liou, Yen-Ting Kuo and Jau-Chi Huang (2006), Smooth seamless surface construction based on conformal self-organizing map, ICONIP, The 13th International Conference on Neural Information Processing, October 3-6, in edited book published by LNCS 4232, pp 1012-1021, Hong Kong, (EI)

B.5. I-Chun Lin and Cheng-Yuan Liou (2007), Least-mean-square training of cluster-weighted modeling, ICANN, International Conference on Artificial Neural Networks, Sep. 10-12, Porto, Portugal, LNCS 4669, Part II, pp 301-310, Springer, (EI), tutorial.ppt codes

B.6. Sukanya Manna and Cheng-Yuan Liou (2008), Pseudo-reverse approach in genetic evolution, Trends in Intelligent Systems and Computer Engineering Series: LNEE, vol.6, Oscar Castillo, Li Xu and Sio-Iong Ao (Eds.), pp 233-242, Springer, (EI), tutorial.ppt, tutorial supp.ppt, div time.ppt

B.7. Cheng-Yuan Liou and Wei-Chen Cheng (2008), Resolving hidden representations, ICONIP, International Conference on Neural Information Processing, Nov. 13-16, in edited book published by LNCS 4985, Part II, pp 254–263, Kitakyushu, Japan, (EI)

B.8. Cheng-Yuan Liou and Wei-Chen Cheng (2008), Manifold construction by local neighborhood preservation, ICONIP, International Conference on Neural Information Processing, Nov. 13-16, in edited book published by LNCS 4985, Part II, pp 683–692, Kitakyushu, Japan, (EI)

B.9. Cheng-Yuan Liou and Cheng-Jung Ho (2008), Neural network method for protein structure search using cell-cell adhesion, ICONIP, International Conference on Neural Information Processing, Nov. 13-16, in edited book published by LNCS 4985, Part II, pp. 346–355, Kitakyushu, Japan, (EI)

B.10. Cheng-Hung Chuang, Jiun-Wei Liou, Philip E. Cheng, Michelle Liou, Cheng-Yuan Liou (2008), Intensity gradient self-organizing map for cerebral cortex reconstruction, ICONIP, International Conference on Neural Information Processing, Nov. 13-16, in edited book published by LNCS 4984, Part I, pp. 365-373, Kitakyushu, Japan, (EI).

B.11. Wei-Chen Cheng and Cheng-Yuan Liou (2008), Manifold construction using the multilayer perceptron, ICANN, International Conference on Artificial Neural Networks, Sep.3-6, in edited book published by LNCS 5163, Part I, pp. 119-127, Prague, Czech Republic.

B.12. Cheng-Yuan Liou (2008), Geometrical perspective on hairy memory, ICANN, International Conference on Artificial Neural Networks, Sep. 3-6, in edited book published by LNCS 5164, Part II, pp. 869-878, Prague, Czech Republic, (EI)

B.13. Cheng-Yuan Liou and Wei-Chen Cheng (2008), Manifold training technique to reconstruct high dynamic range image, ISNN, International Symposium on Neural Networks, Sep. 24-28, in edited book published by LNCS 5264, Part II, pp. 402-409, Beijing, China, (EI)

B.14. Wei-Chen Cheng and Cheng-Yuan Liou (2009), A Novel Method for Manifold Construction, ICONIP, The 15th International Conference on Neural Information Processing, Nov. 25-28, in edited book published by LNCS 5507, Part II, pp. 3-10, Auckland, New Zealand. tutorial

B.15. Cheng-Yuan Liou and Wei-Chen Cheng (2009), Implementation of the MLP Kernel, ICONIP, The 15th International Conference on Neural Information Processing, Nov. 25-28, in edited book published by LNCS 5507, Part II, pp. 378-385, Auckland, New Zealand.

B.16. Cheng-Yuan Liou and Wei-Chen Cheng (2010), Visualization of Influenza Protein Segment HA in Manifold Space, ACIIDS, The 2nd Asian Conference on Intelligent Information and Database Systems, March 24-26, in edited book published by LNCS 5990, Part I, pp. 150-158, Hue City, Vietnam. tutorial

B.17. Wei-Chen Cheng and Cheng-Yuan Liou (2010), Linear Replicator in Kernel Space, ISNN, The 7th International Symposium on Neural Networks , June 6-9, in edited book published by LNCS 6064, Part II, pp. 75–82, Shanghai, China.

B.18. Jau-Chi Huang and Cheng-Yuan Liou (2010), Solution Space of Perceptron, ICANN, International Conference on Artificial Neural Networks, Sep. 15-18, in edited book published by LNCS 6354, Part III, pp. 282–285. Thessaloniki, Greece. demo, poster

B.19. Cheng-Yuan Liou and Cheng-Jung Ho (2010), Cell-Cell Adhesion Neural Network Method for Protein Structure Search, Chapter 7 in book Sequence and Genome Analysis: Methods and Applications, Edited by Zhongming Zhao, pages 41-61, iConcept Press Pty Ltd.

B.20. Cheng-Yuan Liou and Wei-Chen Cheng (2011), Forced Accretion and Assimilation Based on Self-organizing Neural Network, Self Organizing Maps - Applications and Novel Algorithm Design, Chapter 35 in Book edited by: Josphat Igadwa Mwasiagi, page 683~702, ISBN: 978-953-307-546-4, Publisher: InTech, Publishing date: January 2011. INTECH

B.21. Jau-Chi Huang, Wei-Chen Cheng and Cheng-Yuan Liou (2011), Distributed representation of word, ACIIDS, The 3rd Asian Conference on Intelligent Information and Database Systems, April 20-22, in edited book published by LNAI 6591, Part I, pp. 169-176, Daegu city, Korea. slides MSA demo MSA poster

B.22. Chang-Hsian Uang, Jiun-Wei Liou and Cheng-Yuan Liou (2012), Self-Organizing Reinforcement Learning Model, ACIIDS, The 4rd Asian Conference on Intelligent Information and Database Systems, March 19-21, in edited book published by LNCS 7196, pp. 218-227, Kaohsiung, Taiwan.

B.23. Jiun-Wei Liou and Cheng-Yuan Liou (2012), Neighborhood Selection and Eigenvalues for Embedding Data Complex in Low Dimension, ACIIDS, The 4rd Asian Conference on Intelligent Information and Database Systems, March 19-21, in edited book published by LNCS 7196, pp. 413-422, Kaohsiung, Taiwan.

B.24. Daw-Ran Liou, Chia-Ching Lin and Cheng-Yuan Liou (2012), Setting Shape Rules for Handprinted Character Recognition, ACIIDS, The 4rd Asian Conference on Intelligent Information and Database Systems, March 19-21, LNCS 7197, pp. 245-252, Kaohsiung, Taiwan.

B.25. Jiun-Wei Liou and Cheng-Yuan Liou (2012), About Eigenvalues from Embedding Data Complex in Low Dimension, ICSI, The 3rd International Conference on Swarm Intelligence, June 17-20, LNCS 7332, Part II, pp. 282-289, Shenzhen, China.

B.26. Daw-Ran Liou, Jiun-Wei Liou, and Cheng-Yuan Liou (2012), Learning Behaviors of Perceptron, Chapter 4 in edited book, Artificial Intelligence and Hybrid Systems, iConcept Press Pty Ltd.

B.27. Cheng-Yuan Liou, Chen-Wei Cheng, Jiun-Wei Liou, and Daw-Ran Liou (2012), Autoencoder for Polysemous Word, IScIDE, Workshop on Intelligence Science and Intelligent Data Engineering, October 15-17, LNCS 7751, pp. 458-465, Nanjing, China. slides

B.28. Cheng-Yuan Liou, Daw-Ran Liou, Alex A. Simak, and Bo-Shiang Huang (2013), Syntactic sensitive complexity for symbol-free sequence, IScIDE 2013, July 31~August 2, LNCS 8261, pp. 15-23, Bejing, China. slides

B.29. Daw-Ran Liou, Yang-En Chen, Cheng-Yuan Liou (2019), Matching Topological Structures for Handwritten Character Recognition, ACIIDS, The 11th Asian Conference on Intelligent Information and Database Systems, April 8-11, LNCS 11431 (also LNAI 11431), pp. 565-575

C. Conference Proceedings

C.1. Cheng-Yuan Liou and Chih-Chiang Chang (1987), Estimation of speed variations of rotating machine from the digital demodulation, Non-Destructive Testing, vol. 2, pp. 1144-1150, EURO NDT, Edited by J.M. Farley and R.W. Nichols, Proceedings of the 4th European Conference Non-Destructive Testing, A conference organized by The British Institute of Non-Destructive Testing, London, UK, September 13-18, Pergamon Press

C.2. Cheng-Yuan Liou and Chih-Chi Chang (1987), The determination of modal damping ratios and natural frequencies from bispectrum modeling, OCEANS, vol. 2, pp. 548-553, September 28 to October 1, Halifax, Nova Scotia, Canada, (EI)

C.3. Cheng-Yuan Liou and Chih-Chiang Chang (1987), Digital demodulation of noise contaminated rotational speed variations, IEEE International Conference on Industrial Electronics, Control, and Instrumentation, IECON, Proceedings of SPIE vol. 858, pp. 1011-1015, November 3-4, Cambridge, MA, USA, (EI)

C.4. Cheng-Yuan Liou (1988), Design of neural networks to classify sonar targets, Abstracts of The First Annual International Neural Network Society's (INNS) Meeting, page 34, September 6-10, Boston, Massachusetts, USA, (EI)

C.5. Cheng-Yuan Liou and Shiao-Lin Lin (1989), The other variant Boltzmann machine, International Joint Conference on Neural Networks, IJCNN, pp. 449-454. June 18-22, Washington, D. C., USA, (EI)

C.6. J. M. Wu, J. Y. Lee, Y. C. Tu, C. Y. Liou (1991). Diagnoses for machine vibrations based on self-organization neural network, IEEE International Conference on Industrial Electronics, Control and Instrumentation, IECON, October 28-November 1, Kobe, Japan, (EI)

C.7. Cheng-Yuan Liou and Chwan-Yi Shiah (1993), Perception of speech signals using self-organization on linear neuron array, Proceedings of the International Joint Conference on Neural Networks, IJCNN, vol. 1, pp. 251-254, October 25-29, Nagoya, Japan, (EI)

C.8. Cheng-Yuan Liou and Wen-Pin Tai (1993), Exploring orderliness by self-organization, Proceedings of the International Joint Conference on Neural Networks, IJCNN, vol. 2, pp.1618-1621, October 25-29, Nagoya, Japan, (EI)

C.9. Jiann-Ming Wu and Cheng-Yuan Liou (1993), Incorporating elastic ring into Potts neural networks, Proceedings of the International Joint Conference on Neural Networks, IJCNN, vol. 2, pp. 1553-1556, October 25-29, Nagoya, Japan, (EI)

C.10. Cheng-Yuan Liou and Wen-Jen Yu (1994), Initializing the weights in multilayer network with quadratic sigmoid function, International Conference on Neural Information Processing, ICONIP, pp. 1387-1392, serve as program committee member, Seoul, October 17-20, package code

C.11. Hsin-Chang Yang and Cheng-Yuan Liou (1995), Self-organization of high-order receptive fields for handprinted character recognition, Proceedings of ICANN, pp. 245-250, October 9-13, Paris, France

C.12. Cheng-Yuan Liou and Wen-Jen Yu (1995), Ambiguous binary representation in multilayer neural network, Proceedings of ICNN, vol. 1. pp. 379-384. November 27 - December 1, Perth, Australia, (EI), download package, preview 1, preview 2, tutorial packages + codes, NN Chapter 4

C.13. Cheng-Yuan Liou and Quan-Ming Chang (1996), Meshed snakes, International Conference on Neural Networks, ICNN’1996, June 3-6, Washington DC, USA. vol. 3, pp. 1516-1521, (EI), preview

C.14. Cheng-Yuan Liou, Wen-Pin Tai, Fang-Ru Hsu and Hwai-Tsu Chang (1996), Unwarping of continuous speech signals, IEEE Region Ten Conference (TENCON), vol. 1, pp. 46-51, November 27-19, Perth, Western Australia, (EI)

C.15. Wen-Pin Tai, Ruei-Sung Lin, and Cheng-Yuan Liou (1997), Blind Deconvolution by self-organization, International Conference on Neural Networks, ICNN, vol. 3, pp.1568-1573, June 8-12, Houston, USA, (EI)

C.16. Cheng-Yuan Liou and Quan-Ming Chang (1997), Active Mesh for Minimal Surface Problems, ICONIP, vol. 1, pp. 486-489, Dunedin, New Zealand, Nov. 24-29,preview

C.17. Cheng-Yuan Liou, Chung-Hao Tan, Hwann-Tzong Chen, and Jiun-Hung Chen (1998), Agents that Have Desires and Behave Adaptively, The Fifth International Conference on Neural Information Processing, ICONIP, vol. 2, pp. 845-849, Oct. 21-23, Kitakyushu, Japan, preview, Learning Automata Program

C.18. Cheng-Yuan Liou and Hsin-Chang Yang (1999), Self-organization of high-order receptive fields in recognition of handprinted characters, ICONIP, vol. 3, pp. 1161-1166, Nov. 16-20, Perth, Australia

C.19. NULL

C.20. Cheng-Yuan Liou, Hwann-Tzong Chen, and Jau-Chi Huang (2000), Separation of internal representations of the hidden layer, Proceedings of the International Computer Symposium, ICS, Workshop on Artificial Intelligence, pp. 26-34, Chiayi, Taiwan
There are five types to operate the SIR, Type I: SIR-SOM; Type II: SIR-kernel; Type III: SIR-recurrent; Type IV: SIR-Hopfield; Type V: SIR-module. see tutorial NN Chapter 5, code codes for figures 5, 6, 7

C.21. Cheng-Yuan Liou and Yen-Ting Kuo (2002), Economic state indicator on neuronic map, 9’th International Conference on Neural Information Processing, ICONIP, vol.2, pp. 787-791, Nov. 18~22, Singapore, preview

C.22. Cheng-Yuan Liou and Yin-Ting Kuo (2002), Data flow design for the backpropagation algorithm, International Computer Symposium, ICS, Dec. 18~21, Taiwan

C.23. Cheng-Hung Chuang , Juin-Der Lee, Philip E. Cheng, Michelle Liou, and Cheng-Yuan Liou, (2004), Knowledge-based self-organization network for visualization and reconstruction of the brain, TH264, 10th annual meeting of the Organization for Human Brain Mapping, OHBM, Juan 13~17, Budapest, Hungary, poster.pdf

C.24. Jiann-Ming Wu, Zheng-Han Lin, Cheng-Yuan Liou, (2005), Formation and Variability of Orientation Preference Maps in Visual Cortex: an Approach Based on Normalized Gaussian Arrays, The 9th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA, pp.5-8, May 28~30, Taiwan, (EI)

C.25. Tai-Hei Wu , Yng-Kae Tzeng , Cheng-Yuan Liou, (2005), Implement Neural Mesh on Cellular Neural Network, The 9th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA, pp.73-76, May 28~30, Taiwan, (EI), preview, avi

C.26. Cheng-Yuan Liou, and Yen-Ting Kuo, (2005), Brain structure parameterization by conformal self-organizing map, International Symposium on Cerebral Cortical Organization and Function, October 1, page 47 poster, National Taiwan University, Taipei, Taiwan

C.27. Jiann-Ming Wu, Zheng-Han Lin, and Cheng-Yuan Liou, (2005), Faithful reconstruction of orientation preference maps in visual cortex by learning gadaline networks, October 1, page 48, poster, National Taiwan University, Taipei, Taiwan

C.28. Jiann-Ming Wu, Chia-Yi Lu, Cheng-Yuan Liou (2005), Independent component analysis of correlated neuronal responses in area MT, International Conference on Neural Information Processing, ICONIP, October 31~November 2, page 639-642, Taipei, Taiwan

C.29. Tai-Hei Wu, Cheng-Yuan Liou, (2005), Deformable mesh, International Conference on Neural Information Processing, ICONIP, October 31~November 2, page676-681, Taipei, Taiwan, preview, avi

C.30. Cheng-Yuan Liou, Jiun-Wei Liou , and Yng-Kae Tzeng , (2005), A comprehensive survey on two associative memory models, International Conference on Neural Information Processing, ICONIP, October 31~November 2, page 404-409, Taipei, Taiwan

C.31. Cheng-Yuan Liou, Kuang-De Ou Yang , (2005), Unsupervised classification of remote sensing imagery with non-negative matrix factorizing, International Conference on Neural Information Processing, ICONIP, October 31~November 2, page 280-285, Taipei, Taiwan

C.32. Cheng-Hung Chuang , Philip E. Cheng , Michelle Liou , Cheng-Yu Chen , and Cheng-Yuan Liou (2005), Constrained Self-Organizing Map for the Reconstruction of the Brain Lateral Ventricle, International Conference on Neural Information Processing, ICONIP, October 31~November 2, page 622-627, Taipei, Taiwan

C.33. Kirby T. Wu, Hong-Ren Su, Michelle Liou, Cheng-Hung Chuang, and Cheng-Yuan Liou (2006), Statistical analysis of image coordinates for correcting motionartifacts, 12th annual meeting of the Organization for Human Brain Mapping, OHBM, Juan 11-15, Florence, Italy, doc

C.34. Cheng-Hung Chuang, Philip E. Cheng, Michelle Liou, Cheng-Yuan Liou, Yen-Ting Kuo (2006), Layered distance map with applications to measuring corticalthickness and reconstructing cortical surface, 12th annual meeting of the Organization for Human Brain Mapping, OHBM, Juan 11-15, Florence, Italy, pdf

C.35. Sukanya Manna and Cheng-Yuan Liou (2006), Reverse engineering approach in molecular evolution: simulation and case study with enzyme proteins, The 2006 International Conference on Bioinformatics and Computational Biology, BIOCOMP, June 26~29, page 529-533, Monte Carlo Resort, Las Vegas, Nevada, USA,tutorial.ppt, tutorial supp.ppt, div time.ppt

C.36. Cheng-Yuan Liou and Luis Eduardo Rodriguez Soto (2006), The hierarchical map forming model, The International Conference on Informatics in Control, Automation and Robotics, ICINCO, 1~5 August, page 167-172, Setubal, Portugal, pdf.

C.37. Sukanya Manna and Cheng-Yuan Liou (2007), Pseudo-reverse approach in genetic evolution: an empirical study with enzymes, The 2007 IAENG International Conference on Bioinformatics (ICB), The International MultiConference of Engineers and Computer Scientists (IMECS), 21-23 March, Hong Kong, IAENG (ISBN: 978-988-98671-4-0), color version, tutorial.ppt, tutorial supp.ppt, div time.ppt

C.38. Wei-Chen Cheng and Cheng-Yuan Liou (2007), Binary Kernel in Morphological Associative Memory, International Conference on Cognitive Neurodynamics (ICCN'07), Nov. 17-21, page 963-968, Shanghai, China

C.39. Jiun-Wei Liou and Cheng-Yuan Liou (2011), Neighborhood Function Design for Embedding in Reduced Dimension, International Conference on Neural Computation Theory and Applications (NCTA'11), Oct. 24-26, Paris, France, simplified ppt

C.40. Wei-Chen Cheng, Jiun-Wei Liou and Cheng-Yuan Liou (2012), Construct Adaptive Template Array for Magnetic Resonance Images, International Joint Conference on Neural Networks (IJCNN'12), June 10-15, page 1414-1418, Brisbane, Australia

C.41. Yi-Chun Lin, Chao-I Tuan, and Cheng-Yuan Liou, Discovering the Learned Rules of Dress Collocation inside Neural Network Mechanism, IEEE Symposium series on Computational Intelligence, April 16-19, Singapore

C.42. Daw-Ran Liou, Yang-En Chen, Cheng-Yuan Liou, A Parallel Bi-perceptron Approach and its Application to Data Classification, 2016 International Conference on Computational Science and Computational Intelligence, pages 1152~1157, December 15~17, Las Vegas, 978-1-5090-5510-4/16 $31.00 © 2016 IEEE, DOI 10.1109/CSCI.2016.0218 (Appendix: uni-perceptron)

C.43. Daw-Ran Liou, Yang-En Chen, Cheng-Yuan Liou, Loading Discriminative Feature Representations in Hidden Layer, Proceedings of the 2017 International Conference on Artificial Intelligence (ICAI'17), pages 104~110 , July 17-20, 2017 in Las Vegas, ISBN: 1-60132-460-X, CSREA Press ©

M. Miscellaneous

M.1. 台灣沿岸有四支洋流，兩支為東西沿岸自南向北的黑潮，另外兩支為經南北兩端流進(出)海峽的潮流，此四支洋流為台灣全島自然與人文的基礎之一，這兩支潮流的發現經過與性質 發表在會議中『台灣附近海域資源之研究與開發學術研討會』，會議日期為中華民國67年7月8日~9日，會議地點在國立臺灣大學海洋研究所。另外台灣海域發現大陸棚波的第一個證據也發表在會議上。論文見：
陳維宗、劉長遠、王安培，(1978)，‘台灣沿岸海流之波譜分析研究’，台灣附近海域資源之研究與開發學術研討會。

M.2. 測得台灣沿岸最大波浪 12.47 公尺, 基隆港附近波浪觀測與分析, 梁乃匡, 劉長遠, 王冑, 國立台灣大學海洋研究所, 專刊第24號, March 1980

M.3. 重編國語辭典，中華民國七十年，海洋 劉長遠

M.4. 劉長遠 彭智楹, (2005), 量子訊息理論, 第十二章, .量子資訊科學概論 編輯 郭燿煌 郭斯彥, 國科會, English Version(information.pdf)