Jiann-Ming Wu, Chun-Chang Wu, Jia-Ci Chen and Yi-Ling Lin, Set-valued neural mapping and inverse function, submitted to Frontiers in Computational Neuroscience, 2014
Jiann-Ming Wu, Chun-Chang Wu, Ya-Wen Tsai, Density support analysis by adaptive thresholding and supervised neural approximation, submitted to Neurocomputing, 2013
Jiann-Ming Wu, Chun-Chang Wu and Ching-Wen Huang, Annealed cooperative-competitive learning of Mahalanobis-NRBF neural modules for nonlinear and chaotic differential function approximation, Neurocomputing Volume 136, 20 July 2014, Pages 56–70, 2014 (SCI, IF: 2.005) (Computer Science IF 排名前20%期刊)
Jiann-Ming Wu, et al., Learning Potts perceptrons for blind deconvolution, Journal of the Chinese Statistical Association, Vol. 52:1 pp10-23, 2014
Jiann-Ming Wu and Pei-Hsun Hsu, Annealed Kullback-Leibler divergence minimization for generalized TSP, spot identification and gene sorting, Neurocomputing, Vol. 74, 2228-2240, JUNE, 2011 (SCI, IF: 2.005) (Computer Science IF 排名前20%期刊)
Jiann-Ming Wu, Hsiao-Chang Chen, J.C. Wu, Pei-Hsun Hsu, Blind image deconvolution by neural recursive function approximation, World Academy of Science, Engineering and Technology, 69, pp 446-453, 2010
Jiann-Ming Wu, Multilayer Potts perceptrons with Levenberg-Marquardt learning, accepted by IEEE Trans. on Neural Networks, 2008(SCI)
Jiann-Ming Wu, M.H. Chen, Lin Z.H., Independent component analysis based on marginal density estimation using weighted Parzen windows, accepted by Neural Networks, 2008(SCI)
Jiann-Ming Wu, Z.H. Lin and Pei-Hsun Hsu, Function approximation using generalized adalines, IEEE Trans. On Neural Networks,Vol.17 No.3, 541-558, MAY 2006.(SCI)
Jiann-Ming Wu, Learning generative models of faithful density estimation and extraction of distributed statistical structures, revised for IEEE Trans. On Neural Networks,2005(SCI)
Jiann-Ming Wu and Zeng-Han Lin, Global and local feature extraction by natural elastic nets, IEICE Transaction on Information and systems E87D (9): 2267-2271, Sep 2004. (SCI)\
Jiann-Ming Wu, Annealing by two sets of interactive dynamics, IEEE Trans. on Systems Man and Cybernetics Part B-Cybernetics 34 (3): 1519-1525, Jun 2004. (SCI)
Jiann-Ming Wu, Lin Z.H., Learning generative models of natural images, Neural Networks, Vol.15, No. 3,337-347, APR 2002. (SCI)
Jiann-Ming Wu, Natural discriminant analysis using interactive Potts models, Neural Computation, Vol. 14, No. 3, 689-713, MAR 2002. (SCI)
Jiann-Ming Wu and Chiu S.J., Independent component analysis using Potts models, IEEE Trans. On Neural Networks, Vol. 12, No. 2, March 2001. (SCI)
Jiann-Ming Wu, Potts models with two sets of interactive dynamics, Neurocomputing 34, 55-77, 2000. (SCIE)
Cheng-Yuang Liou and Wu Jiann-Ming,Self-organization using Potts models, Neural Networks, Vol.9, No.4, pp671-684, 1996.
Cheng-Yuang Liou and Wu Jiann-Ming,Constructing a Vector Field to Accomplish Autonomous Navigation,Journal of Information Science and Engineering 12, 443-465, 1996.
S.L. Lin , Wu Jiann-Ming, and Liou Cheng-Yuang,Annealing by perturbing synapses, IEICE Transactions on Information and Systems, Vol. E750D, No. 2, 210-218, 1992.
Jiann-Ming Wu, Lee J.Y., Tu Y.C., and Liou C.Y., Diagnoses for machine vibrations based on self-organization neural networks, The J. of Electrical Engineering, Vol. 34, No. 4, 293-298, 1991.
Cheng-Yuang Liou, Wu Jiann-Ming, and Lin S.L., Solving traveling salesman problems by annealed perturbation, Bulletin of the College of Engineering, N. T. U., No. 49, 1-17, July 1990.
Jiann-Ming Wu, Lin C.H., Natural Elastic Nets for Faithful Representations, International Computer Symposium(ICS 2000) Workshop on Artificial Intelligence, Taiwan, 2000.
Jiann-Ming Wu, and Liou C.Y.,Incorporating elastic ring into Potts neural networks, International Joint Conference on Neural Networks (IJCNN), Nagoya, Japan, 1993.
S.C. Lee, Wu Jiann-Ming, and Liou C.Y.,Sequential self-organization for the traveling salesman problem, International Conference on Artificial Neural Networks, 1993.
S.C. Lee, Wu Jiann-Ming, and Liou C.Y.,Sequential self-organization for the traveling salesman problem, Neural Networks Conference, Taipei, Taiwan, 1992.
Cheng-Yuang Liou, and Wu Jiann-Ming,Designing energy surface for truck back-upper problem, International Joint Conference on Neural Networks (IJCNN), Beijing, China, II493-498, 1992.
K.P. Wang, Wu Jiann-Ming, and Liou C.Y.,Self-organization map for QAM communication, International Joint Conference on Neural Networks (IJCNN), Beijing, China, II493-498, 1992.
Jiann-Ming Wu, Lee J.Y., Tu Y.C., and Liou C.Y.,Diagnoses for machine vibrations based on self-organization neural networks, International Conference on Industrial Electronics, Control and Instruments (IECON), Kobe, Japan, 1506-1511, 1991.
K.P. Wang, Wu Jiann-Ming and Liou C.Y.,QAM communication by self-organization map, Workshop on Neural Networks, Taipei, Taiwan, 1991.
Jiann-Ming Wu, Lin Z.H, Liou C.Y., Faithful Reconstruction of orientation preference maps in visual cortex by learning gadaline networks, International symposium on cerebral cortical organization and function, Oct. 2005.
Jiann-Ming Wu, Chia-Yi Lu, Cheng-Yuang Liou, Independent component analysis of correlated neuronal responses in area MT, The 12th International Conference on Neural Information Processing, ICONIP 2005
Jiann-Ming Wu, Lin Z.H., Liou C.Y., Formation and variability of orientation preference maps in visual cortex: an approach based on normalized Gaussian arrays, Cellular Neural Networks and their Applications , CNNA 2005.
Jiann-Ming Wu and Lin C.H., Learning generative models of handwritten digit images, International Computer Symposium(ICS 2002), Taiwan, 2002.
Jiann-Ming Wu, Lin C.H., Natural Elastic Nets for Faithful Representations, International Computer Symposium(ICS 2000), Taiwan, 2000.
專書：
Pei-Hsun Hsu and Jiann-Ming Wu, Book: Function approximation using generalized adalines, VMD Verlag, March, 2010.
Jiann-Ming Wu, Pei-Hsun Hsu and Zheng-Han Lin, Book Chapter: 2 Learning multiple ICA modules for distributed and factorial neural representations, Neurocomputing: Learning, Architectures, and Modeling, Nova Science Publishers, Inc, 2011
Jiann-Ming Wu, Rong-Chao Ban and Chun-Chang Wu, Book Chapter: Tracking mean field dynamics by synchronous computations of recurrent multilayer perceptrons, Computational and Numerical Simulations (ISBN 980-953-307-1115-4) 2013.
