My Selected Publications

( publish under Zhang Yi, please cite using Z. Yi )

 

My Books

  1. Zhang Yi and K. K. Tan, Convergence Analysis of Recurrent Neural Networks, Kluwer Academic Publishers, Boston, Hardbound, ISBN 1-4020-7694-0, 2004,  250 pp.

  2. H. J. Tang, K. C. Tan and Zhang Yi, Neural Networks: Computational Models and Applications, Springer-Verlag, ISBN:978-3-540-69225-6, 2007.

  3. J. C. Lv, Zhang Yi and J. Zhou, Subspace Learning of Neural Networks, CRC Press, Talor & Francis Group, ISBN 978-1-4398-1535-9, 2011, 233pp.

  4. J. Wang, X. F. Liao and Zhang Yi (Eds.), Advances in Neural Networks - ISNN2005, Lecture Notes in Computer Science, vol. 3496/2005, vol. 3497/2005, vol. 3498/2005, Springer Berlin / Heidelberg.

  5. J. Wang, Zhang Yi, J. M. Zurada, B. L. Lu and H. Yin (Eds.), Advances in Neural Networks - ISNN2006, Lecture Notes in Computer Science, vol. 3971/2006, vol. 3972/2006, vol. 3973/2006, Springer Berlin / Heidelberg.

My Selected Journal Papers

IEEE Transactions

  1. Zhang Yi, Foundations of Implementing the Competitive Layer Model by Lotka-Volterra Recurrent Neural Networks, IEEE Transactions on Neural Networks, vol. 21, no. 3, pp. 494-507, March 2010.[PDF]

  2. J. Yu, Zhang Yi, and J. Zhou, Continuous Attractors of Lotka-Volterra Recurrent Neural Networks, IEEE Transactions on Neural Networks, vol. 21, no. 10, pp. 1690-1695, October 2010.

  3. H.Tang, H. Li, and Zhang Yi, A Discrete-Time Neural Network for Optimization Problems with Hybrid Constraints, IEEE Transactions on Neural Networks, vol. 21, no. 7, pp. 1184-1189, July 2010.

  4. J. C. Lv, K. K. Tan, Zhang Yi, and S. Huang, A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks, IEEE Transactions on Fuzzy Systems, vol. 18, no. 1, pp. 217-226, February 2010.

  5. H. Qu, S. X. Yang, A. R. Willms, and Zhang Yi, Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model, IEEE Transactions on Neural Networks, vol. 20, no. 11, pp. 1724-1739, Nov. 2009.[PDF]

  6. Zhang Yi, L. Zhang, J. Yu, K. K. Tan, Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks, IEEE Transactions on Neural Networks, vol. 20, no. 6, pp. 952-963, Jun. 2009.[PDF]

  7. J. C. Lv, K. K. Tan, Zhang Yi, and S. Huang, Convergence Analysis of Hyvärinen and Oja's ICA Learning Algorithms with Constant Learning Rates, IEEE Transactions on Signal Processing, vol. 57, no. 5, pp. 1811-1824, May 2009. [PDF]

  8. L. Zhang, Zhang Yi, S. L. Zhang, P. A. Heng, Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks, IEEE Transactions on Automatic Control, vol. 54, no. 6, pp. 1341-1347, Jun. 2009. [PDF]

  9. D. Huang, Zhang Yi and X. Pu, Manifold-Based Learning and Synthesis, IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 39, no. 3, pp. 592-606, Jun. 2009.[PDF]

  10. J. Yu, Zhang Yi and L. Zhang, Representations of Continuous Attractors of Recurrent Neural Networks, IEEE Transactions on Neural Networks, vol. 20, no. 2, pp. 368-372, Feb. 2009.[PDF]

  11. L. Zhang, Zhang Yi and J. Yu, Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions, IEEE Transactions on Neural Networks, vol. 19, no. 1, pp. 158-167, Jan. 2008.

  12. L. Ji, Zhang Yi, L. Shang and X. Pu, Binary Fingerprint Image Thinning Using Template-based PCNNs, IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 37, no. 5, pp. 1407-1413, Oct. 2007.

  13. J. C. Lv, Zhang Yi and K. K. Tan, Global Convergence of GHA Learning Algorithm with Nonzero-approaching Adaptive Learning Rates, IEEE Transactions on Neural Networks, vol. 18, no. 6, pp. 1557-1571, Nov. 2007.

  14. D. Peng and Zhang Yi, Dynamics of Generalized PCA and MCA Learning Algorithms, IEEE Transactions on Neural Networks, vol. 18, no. 6, pp. 1777-1784, Nov. 2007.

  15. J. C. Lv, Zhang Yi and K. K. Tan, Determination of the Number of Principal Directions in a Biologically Plausible PCA Model, IEEE Transactions on Neural Networks, vol. 18, no. 3, pp. 910-916, May 2007.

  16. D. Peng and Zhang Yi, A Modified Oja-Xu MCA Learning Algorithm and Its Convergence Analysis, IEEE Transactions on Circuits and Systems, Part II, vol. 54, no. 4, pp. 348-352, Apr. 2007.

  17. D. Peng and Zhang Yi, Convergence analysis of a deterministic discrete time systems of Feng's MCA learning algorithm, IEEE Transactions on Signal Processing, vol. 54, no. 9, pp. 3626-3632, Sept. 2006.

  18. H. Qu, Zhang Yi and H. J. Tang, Improving Local Minima of Columnar Competitive Model for TSPs, IEEE Transactions on Circuits and Systems, Part I: Regular Papers, vol. 53, no. 6, pp. 1353-1362, Jun. 2006.

  19. Zhang Yi, J. C. Lv and L. Zhang, Output Convergence Analysis for a Class of Delayed Recurrent Neural Networks with Time-varying Inputs, IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 36, no. 1, pp. 87-95, Feb. 2006.

  20. Zhang Yi and K. K. Tan, Global Convergence of Lotka-Volterra Recurrent Neural Networks with Delays, IEEE Transactions on Circuits and Systems, Part I: Regular Papers, vol. 52, no. 11, pp. 2482-2489, Nov. 2005.

  21. Zhang Yi, M. Ye, J. C. Lv and K. K. Tan, Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm, IEEE Transactions on Neural Networks, vol. 16, no. 6, pp. 1318-1328, Nov. 2005.

  22.  Zhang Yi and K. K. Tan, Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions, IEEE Transactions on Neural Networks, vol. 15, no. 2, pp. 329-336, Mar. 2004.

  23. H. J. Tang, K. C. Tan and Zhang Yi, A columnar competitive model for solving combinatorial optimization problems, IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1568-1574, Nov. 2004.

  24. Zhang Yi, P. A. Heng and P. Vadakkepat, Absolute Periodicity and Absolute Stability of delayed Neural Networks, IEEE Transactions on Circuits and Systems, Part I: Regular Papers, vol. 49, no. 2, pp. 256-261, Feb. 2002.

  25. Zhang Yi and P. A. Heng, Stability of Fuzzy Control Systems with Bounded Uncertain Delays, IEEE Transactions on Fuzzy Systems, vol. 10, no. 1, pp. 92-97, Feb. 2002.

  26. Zhang Yi, P. A. Heng and K. S. Leung, Convergence Analysis of Cellular Neural Networks with Unbounded Delay, IEEE Transactions on Circuits and Systems, Part I: Regular Papers, vol. 48, no. 6, pp. 680-687, Jun. 2001.

  27. Zhang Yi, P. A. Heng and P. F. Fung, Winner-Take-All Discrete Recurrent Neural Networks, IEEE Transactions on Circuits and Systems, Part II, vol. 47, no. 12, pp. 1584-1589, Dec. 2000.

  28. Zhang Yi, P. A. Heng and Ada W. C. Fu, Estimate of Exponential Convergence Rate and Exponential Stability for Neural Networks, IEEE Transactions on Neural Networks, vol. 10, no. 6, pp. 1487-1493, Nov. 1999.

  29. D. Peng, Y. Xiang, Zhang Yi, and S. Yu, CM-based blind equalization of time-varying SIMO-FIR channel with single pulsation estimation,  IEEE Transactions on Vehicular Technology, Accepted.

  30. L. Zhang and Zhang Yi, Selectable and Unslectable Sets of Neurons in Recurrent Neural Networks with Saturated Piecewise Linear Transfer Function, IEEE Transactions on Neural Networks, Accepted.

 

Neural Computation

  1. Zhang Yi, K. K. Tan and T. H. Lee, Multistability analysis for recurrent neural networks with unsaturating piecewise linear transfer functions, Neural Computation, vol. 15, no. 3, pp. 639-662, Mar. 2003.

 

 

Physical Review

  1. Zhang Yi and K. K. Tan, Dynamic stability conditions for Lotka-Volterra recurrent neural networks with delays, Physical Review E, vol. 66, no. 1, 011910, Jul. 2002.

  2. W. Ren, X. B. Wu, Zhang Yi and W. G. Lin, Properties of wave functions in homogeneous anisotropic media, Physical Review E, vol. 51, no. 1, pp. 671-679, Jan. 1995.

Data Mining and Knowledge Discovery

  1. H. Yan, K. Chen, L. Liu and Zhang Yi, SCALE: a scalable framework for efficiently clustering transactional data, Data Mining and Knowledge Discovery, vol. 20, no. 1, pp. 1-27, Jan. 2010.[PDF]

 

Neural Networks

  1. D. Peng, Zhang Yi and W. Luo, Convergence analysis of a simple minor component analysis algorithm, Neural Networks, vol. 20, no. 7, pp. 842-850, Sept. 2007.

 

Theoretical Computer Science

  1. D. Peng and Zhang Yi, Convergence Analysis of the OJAn MCA Learning Algorithm by the Deterministic Discrete Time Method, Theoretical Computer Science, vol. 378, no. 1, pp. 87-100, Jun. 2007.

  2. J. C. Lv, Zhang Yi and K. K. Tan, Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate, Theoretical Computer Science, vol. 367, no. 3, pp. 286-307, Dec. 2006.

  3. Zhang Yi, Global exponential convergence of recurrent neural networks with variable delays, Theoretical Computer Science, vol. 312, no. 2-3, pp. 281-293, Jan. 2004.

 

Congnitive Neurodynamic

  1. H. Tang, H. Li, Zhang Yi, Online Learning and stimulus-driven responses of neurons in visual cortex, Congnitive Neurodynamics, vol. 5, no. 1, pp. 77-85, March 2011.[PDF]

 

Neurocomputing

  1. C. Zhang and Zhang Yi, Tree structured artificial immune network with self-organizing reaction operator, Neurocomputing, vol. 73, no. 1-3, pp. 336-349, Dec. 2009.

  2. M. Li, Zhang Yi and M. Zhu, Solving TSP by using Lotka–Volterra neural networks, Neurocomputing, vol. 72, no. 16-18, pp. 3873-3880, Oct. 2009.

  3. L. Zhang, Zhang Yi, J. Yu and P. A. Heng, Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions, Neurocomputing, vol. 72, no. 16-18, pp. 3809-3817, Oct. 2009.

  4. X. B. Wang, H. Qu and Zhang Yi, A modified pulse coupled neural network for shortest-path problem, Neurocomputing, vol. 72, no. 13-15, pp.  3028-3033, Aug. 2009.

  5. L. Shang, Zhang Yi and L. Ji, Constrained ZIP code segmentation by a PCNN-based thinning algorithm, Neurocomputing, vol. 72, no. 7-9, pp.  1755-1762, Mar. 2009.

  6. D. Huang and Zhang Yi, Shape recovery by a generalized topology preserving SOM, Neurocomputing, vol. 72, no. 1-3, pp. 573-580, Dec. 2008.

  7. H. Qu, Zhang Yi, and X. B. Wang, Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions, Neurocomputing, vol. 72, no. 1-3, pp. 413-419, Dec. 2008.

  8. D. Huang, Zhang Yi and X. R. Pu, A new local PCA-SOM algorithm, Neurocomputing, vol. 71, no. 16-18, pp. 3544-3552, Oct. 2008.

  9. L. Ji and Zhang Yi, A mixed noise image filtering method using weighted-linking PCNNs, Neurocomputing, vol. 71, no. 13-15, pp. 2986-3000, Aug. 2008.

  10. D. Peng, Zhang Yi, J. C. Lv and Y. Xiang, A neural networks learning algorithm for minor component analysis and its convergence analysis, Neurocomputing, vol. 71, no. 7-9, pp. 1748-1752, Mar. 2008.

  11. Y. Li and Zhang Yi, An algorithm for extracting fetal electrocardiogram, Neurocomputing, vol. 71, no. 7-9, pp. 1538-1542, Mar. 2008.

  12. G. Liu，Zhang Yi and S. Yang, A Hierarchical Intrusion Detection Model Based on the PCA Neural Networks, Neurocomputing, vol. 70, no. 7-9, pp. 1561-1568, Mar. 2007.

  13. L. Shang and Zhang Yi, A Class of Binary Images Thinning Using Two PCNNs,  Neurocomputing, vol. 70, no. 4-6, pp. 1096-1101, Jan. 2007.

  14. J. C. Lv, Zhang Yi and K. K. Tan, Convergence Analysis of Xu's LMSER Learning Algorithm via Deterministic Discrete Time System Method, Neurocomputing, vol. 70, no. 1-3, pp. 362-372, Dec. 2006.

  15. L. Shang, J. C. Lv and Zhang Yi, Rigid Medical Image Registration Using PCA Neural Networks, Neurocomputing, vol. 69, no. 13-15, pp. 1717-1722, Aug. 2006.

  16. Z. L. Zhang and Zhang Yi, Robust extraction of specific signals with temporal structure, Neurocomputing, vol. 69, no. 7-9, pp. 888-893, Mar. 2006.

  17. Z. L. Zhang and Zhang Yi, Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction, Neurocomputing, vol. 69, no. 7-9, pp. 894-899, Mar. 2006.

  18. Z. L. Zhang and Zhang Yi, Extraction of a source signal whose kurtosis value lies in a specific range, Neurocomputing, vol. 69, no. 7-9, pp. 900-904, Mar. 2006.

  19. K. C. Tan, H. J. Tang and Zhang Yi, Global exponential stability of discrete-time neural networks for constrained quadratic optimization, Neurocomputing, vol. 56, pp. 399-406, Jan. 2004.

 

Pattern Recognition

  1. L. Ji and Zhang Yi, Fingerprint Orientation Field Estimation Using Ridge Projection, Pattern Recognition, vol. 41, no. 5, pp. 1491-1503, May 2008.

 

Neural Computing & Applications

  1. X. Pu, Zhang Yi and Z. Fang, Holistic and Partial Facial Features Fusion by Binary Particle Swarm Optimization, Neural Computing & Applications, vol. 17, no. 5-6, pp. 481-488, Oct. 2008.

  2. L. Ji, Zhang Yi and L. Shang, An Improved Pulse Coupled Neural Network for Image Processing, Neural Computing & Applications, vol. 17, no. 3, pp. 255-263, Jun. 2008.

  3. X. Jiang, Zhang Yi and J. C. Lv, Fuzzy SVM with a new fuzzy membership function, Neural Computing & Applications, vol. 15, no. 3-4, pp. 268-276, Jun. 2006.

  4. M. Ye, Zhang Yi and J. C. Lv, A globally convergent learning algorithm for PCA neural networks, Neural Computing & Application, vol. 14, no. 1, pp. 18-24, Apr. 2005.

 

Neural Processing Letters

  1. S. Yang and Zhang Yi, Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm, Neural Processing Letters，vol. 31, no. 1, pp. 45-64, Feb. 2010.

  2. D. Huang, Zhang Yi and X. R. Pu, A New Incremental PCA Algorithm With Application to Visual Learning and Recognition, Neural Processing Letters，vol. 30, no. 3, pp. 171-185, Dec. 2009.

  3. H. Qu, Zhang Yi and X. B. Wang, A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections, Neural Processing Letters，vol. 29, no. 3, pp. 143-154, Jun. 2009.

  4. J. C. Lv, K. K. Tan, Zhang Yi and S. Huang, Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks, Neural Processing Letters，vol. 28, no. 1, pp. 35-47, Aug. 2008.

  5. L Shang, Zhang Yi and L. Ji, Binary Image Thinning Using Autowaves Generated by PCNN, Neural Processing Letters, vol. 25, no. 1, pp. 49-62, Feb. 2007.

  6. M. Ye and Zhang Yi, Complete Convergence of Competitive Neural Networks with Different Time Scales, Neural Processing Letters, vol. 21, no. 1, pp. 53-60, Feb. 2005.

 

Computers & Mathematics with Applications

  1. H. Zhang, Zhang Yi and L. Zhang, Continuous attractors of a class of recurrent neural networks, Computers & Mathematics with Applications, vol. 56, no. 12, pp. 3130-3137, Dec. 2008.

  2. D. Peng, Zhang Yi, J. C. Lv and Y. Xiang, A stable MCA learning algorithm, Computers & Mathematics with Applications, vol. 56, no. 4, pp. 847-860, Aug. 2008.

  3. J. C. Lv and Zhang Yi, Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate, Computers & Mathematics with Applications, vol. 52, no. 10-11, pp. 1425-1438, Nov.-Dec. 2006.

  4. Zhang Yi, Y. Fu and H. J. Tan, Neural network based approach for computing eigenvectors and eigenvalues of symmetric matrix, Computers & Mathematics with Applications, vol. 47, no. 8-9, pp. 1155-1164, Apr.-May 2004.

 

Mathematical and Computer Modelling

  1. D. Peng, Zhang Yi and Y Xiang, On the Discrete Time Dynamics of a Self-Stabilizing MCA Learning Algorithm, Mathematical and Computer Modelling, vol. 47, no. 9-10, pp. 903-916, May 2008.

 

Digital Signal Processing

  1. D. Peng, Zhang Yi and Y. Xiang, A unified learning algorithm to extract principal and minor components, Digital Signal Processing, vol. 19, no. 4, pp. 640-649, Jul. 2009.

 

Soft Computing

  1. C. Yang and Zhang Yi, Document clustering using locality preserving indexing  and support vector machines, Soft Computing, vol. 12, no. 7, pp. 677-683, May 2008.

 

Journal of Mathematical Analysis and Applications

  1. Zhang Yi, Stability of Neutral Lotka–Volterra Systems, Journal of Mathematical Analysis and Applications, vol. 199, no. 2, 15 April 1996, pp. 391-402. [PDF]

 

International Journal of Systems Science

  1. Zhang Yi, S. M. Zhong and Z. L. Li, Periodic solutions and global stability of delay Hopfield neural networks, International Journal of Systems Science, vol. 27, no. 9, 895-901 (1996).

  2. Zhang Yi, Global exponential stability and periodic solutions of delay Hopfield neural networks, International Journal of Systems Science, vol. 27, no. 2, 227-231 (1996).

  3. Zhang Yi and S. M. Zhong, Comment on "Robust stability of a class of uncertain nonlinear dynamical systems with time-vary delay", International Journal of Systems Science, vol. 27, no. 5, 515-516 (1996).

  4. Zhang Yi and Y. Zhang, The stability of linear partial differential equations with infinite delay, International Journal of Systems Science, vol. 26, no. 9,1747-175 (1995).

  5. Zhang Yi and S. P. Banks, Stability of nonlinear analytic delay equations, International Journal of Systems Science, vol. 25, no. 11, 2015-2022 (1994).

 

 

 

My Selected Conference Papers

 

  1. L. Zhang, P. A. Heng and Zhang Yi, Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks, 19th International Conference on Artificial Neural Networks (ICANN 2009), vol. 5768, pp. 995-1004, 2009.

  2. H. Zhang, J. Yu and Zhang Yi, Continuous Attractors of Lotka-Volterra Recurrent Neural Networks, 19th International Conference on Artificial Neural Networks (ICANN 2009), vol. 5768, pp. 287-295, 2009.

  3. Zhang Yi, A. Fu, C.H. Cai, P. Heng, Clustering Categorical Data, 16th IEEE International Conference on Data Engineering, San Diego, USA, Feb 29-Mar 3, ICDE, 2000. Acceptance rate= 65/300 = 22%.

  4.  C. H. Cheng, Ada W. C. Fu and Zhang Yi, Entropy-based subspace clustering for mining numerical data, Proceedings of the ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, San Diego, CA USA 1999. Acceptance rate= 27/237 = 11% .