Selected Publications

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

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.
  • [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.
  • [4] J. Wang, Zhang Yi, B.-L. Lu and H. Yin (Eds.), Special Issue: The Third International Symposium on Neural Networks, International Journal of Neural Systems, vol. 17, iss. 06, World Scientific, 2007.
  • [5] 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.
  • [6] 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.

Selected Journal Papers

IEEE Transactions

  • [1] L. Zhang, Zhang Yi, and S. Amari, "Theoretical Study of Oscillator Neurons in Recurrent Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2018. doi:10.1109/TNNLS.2018.2793911.
  • [2] J. Wang, L. Zhang, Q. Guo, and Zhang Yi, "Recurrent Neural Networks with Auxiliary Memory Unit," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2017. doi:10.1109/TNNLS.2017.2677968.
  • [3] J. Hu, Y. Chen, J. Zhong, R. Ju, and Zhang Yi, "Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks," IEEE Transactions on Medical Imaging, Online Early Access, 2018. doi:10.1109/TMI.2018.2863562.
  • [4] M. Fu, H. Qu, Zhang Yi, L. Lu, and Y. Liu, "A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System," IEEE Transactions on Cybernetics, Online Early Access, 2018. doi:10.1109/TCYB.2018.2795041.
  • [5] Y. Sun, G. G. Yen, and Zhang Yi, "Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations," IEEE Transactions on Evolutionary Computation, Online Early Access, 2018. doi:10.1109/TEVC.2018.2808689.
  • [6] Y. Sun, G. G. Yen, and Zhang Yi, "Improved Regularity Model-based EDA for Many-objective Optimization," IEEE Transactions on Evolutionary Computation, Online Early Access, 2018. doi:10.1109/TEVC.2018.2794319.
  • [7] L. Wang, L. Zhang, and Zhang Yi, "Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking," IEEE Transactions on Cybernetics, vol. 47, iss. 10, pp. 3172-3183, 2017. doi:10.1109/TCYB.2017.2705345.
  • [8] X. Peng, Z. Yu, Zhang Yi, and H. Tang, "Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering," IEEE Transactions on Cybernetics, vol. 47, iss. 4, pp. 1053-1066, 2017. doi:10.1109/TCYB.2016.2536752.
  • [9] X. Xie, H. Qu, Zhang Yi, and J. Kurths, "Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method," IEEE Transactions on Neural Networks and Learning Systems, vol. 28, iss. 6, pp. 1411-1424, 2017. doi:10.1109/TNNLS.2016.2541339.
  • [10] Q. Guo, H. Zhang, and Zhang Yi, "High-Order Measurements for Residual Classifiers," IEEE Transactions on Neural Networks and Learning Systems, vol. 28, iss. 5, pp. 1030-1042, 2017. doi:10.1109/TNNLS.2016.2515128.
  • [11] X. Peng, Z. Bo, R. Yan, H. Tang, and Zhang Yi, "Bag of Events: An Efficient and Online Probability-based Low-level Feature Extraction Method for AER Image Sensors," IEEE Transactions on Neural Networks and Learning Systems, vol. 28, iss. 4, pp. 791-803, 2017. doi:10.1109/TNNLS.2016.2536741.
  • [12] J. Yu, H. Mao, and Zhang Yi, "Parameter as a Switch between Dynamical States of a Network in Population Decoding," IEEE Transactions on Neural Networks and Learning Systems, vol. 28, iss. 4, pp. 911-916, 2017. doi:10.1109/TNNLS.2015.2485263.
  • [13] Z.-Q. Yang, X.-Y. Wei, Zhang Yi, and G. Friedlan, "Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images," IEEE Transactions on Image Processing, vol. 26, iss. 8, pp. 3896-3910, 2017. doi:10.1109/TIP.2017.2669842.
  • [14] X. Xu, S. Xiao, Zhang Yi, X. Peng, and Y. Liu, "Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning," IEEE Transactions on Cognitive and Developmental Systems, vol. 10, iss. 2, pp. 280-289, 2018.
  • [15] Z. He, G. G. Yen, and Zhang Yi, "Robust Multi-Objective Optimization via Evaluationary Algorithm," IEEE Transactions on Evolutionary Computation, Accepted, 2018.
  • [16] X. Xu, S. Xiao, Zhang Yi, X. Peng, and Y. Liu, "Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning," IEEE Transactions on Cognitive and Developmental Systems, Online Early Access, 2017. doi:10.1109/TCDS.2017.2686983.
  • [17] M. Feng, H. Qu, Zhang Yi, and J. Kurths, "Subnormal Distribution Derived From Evolving Networks With Variable Elements," IEEE Transactions on Cybernetics, Online Early Access, 2017. doi:10.1109/TCYB.2017.2751073.
  • [18] D. Chen, J. Lv, and Zhang Yi, "Graph regularized Restricted Boltzmann Machine," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2017. doi:10.1109/TNNLS.2017.2692773.
  • [19] Y. Sun, G. G. Yan, and Zhang Yi, "IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems," IEEE Transactions on Evolutionary Computation, Online Early Access, 2018. doi:10.1109/TEVC.2018.2791283.
  • [20] M. Feng, H. Qu, Zhang Yi, X. Xie, and J. Kurths, "Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution," IEEE Transactions on Cybernetics, vol. 46, iss. 5, pp. 2168-2267, 2016. doi:10.1109/TCYB.2015.2424425.
  • [21] X. Peng, H. Tang, L. Zhang, and Zhang Yi, "A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data," IEEE Transactions on Neural Networks and Learning Systems, vol. 27, iss. 12, pp. 2499-2512, 2016. doi:10.1109/TNNLS.2015.2490080.
  • [22] X. Peng, J. Lu, Zhang Yi, and R. Yan, "Automatic Subspace Learning via Principal Coefficients Embedding," IEEE Transactions on Cybernetics, Online Early Access, 2016. doi:10.1109/TCYB.2016.2572306.
  • [23] X. Li, J. Lv, and Zhang Yi, "An Efficient Representation-based Method for Boundary Point and Outlier Detection," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. doi:10.1109/TNNLS.2016.2614896.
  • [24] X. Peng, C. Lu, Zhang Yi, and H. Tang, "Connections Between Nuclear Norm and Frobenius Norm Based Representation," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. doi:10.1109/TNNLS.2016.2608834.
  • [25] L. Zhen, D. Peng, Zhang Yi, Y. Xiang, and P. Chen, "Underdetermined Blind Source Separation Using Sparse Coding," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. doi:10.1109/TNNLS.2016.2610960.
  • [26] Y. F. Pu, Zhang Yi, and J. L. Zhou, "Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. doi:10.1109/TNNLS.2016.2582512.
  • [27] Y.-F. Pu, J.-L. Zhou, Zhang Yi, N. Zhang, G. Huang, and P. Siarry, "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach," IEEE Transactions on Neural Networks and Learning Systems, vol. 26, iss. 4, pp. 653-662, 2015. doi:10.1109/TNNLS.2013.2286175.
  • [28] J. C. Lv, Zhang Yi, and Y. Li, "Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, vol. 26, iss. 2, pp. 394-399, 2015. doi:10.1109/TNNLS.2014.2312421.
  • [29] S. Yang, Zhang Yi, X. Li, and X. He, "A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering," IEEE Transactions on Image Processing, vol. 24, iss. 12, pp. 5302-5314, 2015. doi:10.1109/TIP.2015.2457033.
  • [30] M. Feng, H. Qu, and Zhang Yi, "Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 61, iss. 10, pp. 2941-2950, 2014. doi:10.1109/TCSI.2014.2333677.
  • [31] S. Yang, Zhang Yi, M. Ye, and X. He, "Convergence analysis of graph regularized non-negative matrix factorization," IEEE Transactions on Knowledge and Data Engineering, vol. 26, iss. 9, pp. 2151--2165, 2014. doi:10.1109/TKDE.2013.98.
  • [32] H. Qu, Zhang Yi, and S. X. Yang, "Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks," IEEE Transactions on Cybernetics, vol. 43, iss. 3, pp. 995--1010, 2013. doi:10.1109/TSMCB.2012.2221695.
  • [33] D. Peng, Zhang Yi, Y. Xiang, and H. Zhang, "A globally convergent MC algorithm with an adaptive learning rate," IEEE Transactions on Neural Networks and Learning Systems, vol. 23, iss. 2, pp. 359--365, 2012. doi:10.1109/TNNLS.2011.2179310.
  • [34] 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, vol. 60, iss. 5, pp. 2410--2415, 2011. doi:10.1109/TVT.2011.2150255.
  • [35] L. Zhang and Zhang Yi, "Selectable and unselectable sets of neurons in recurrent neural networks with saturated piecewise linear transfer function," IEEE Transactions on Neural Networks, vol. 22, iss. 7, pp. 1021--1031, 2011. doi:10.1109/TNN.2011.2132762.
  • [36] J. Yu, Zhang Yi, and J. Zhou, "Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons," IEEE Transactions on Neural Networks, vol. 21, iss. 10, pp. 1690--1695, 2010. doi:10.1109/TNN.2010.2067224.
  • [37] 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, iss. 7, pp. 1184--1189, 2010. doi:10.1109/TNN.2010.2049368.
  • [38] Zhang Yi, "Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks," IEEE Transactions on Neural Networks, vol. 21, iss. 3, pp. 494--507, 2010. doi:10.1109/TNN.2009.2039758.
  • [39] 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, iss. 1, pp. 217--226, 2010. doi:10.1109/TFUZZ.2009.2038711.
  • [40] J. C. Lv, K. K. Tan, Zhang Yi, and S. Huang, "Convergence Analysis of a Class of HyvArinen--Oja's ICA Learning Algorithms With Constant Learning Rates," IEEE Transactions on Signal Processing, vol. 57, iss. 5, pp. 1811--1824, 2009. doi:10.1109/TSP.2009.2013887.
  • [41] L. Zhang, Zhang Yi, S. L. Zhang, and 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, iss. 6, pp. 1341--1347, 2009. doi:10.1109/TAC.2009.2015552.
  • [42] D. Huang, Zhang Yi, and X. Pu, "Manifold-based learning and synthesis," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, iss. 3, pp. 592--606, 2009. doi:10.1109/TSMCB.2008.2007499.
  • [43] 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, iss. 11, pp. 1724--1739, 2009. doi:10.1109/TNN.2009.2029858.
  • [44] Zhang Yi, L. Zhang, J. Yu, and K. K. Tan, "Permitted and forbidden sets in discrete-time linear threshold recurrent neural networks," IEEE Transactions on Neural Networks, vol. 20, iss. 6, pp. 952--963, 2009. doi:10.1109/TNN.2009.2014373.
  • [45] J. Yu, Zhang Yi, and L. Zhang, "Representations of continuous attractors of recurrent neural networks," IEEE Transactions on Neural Networks, vol. 20, iss. 2, pp. 368--372, 2009. doi:10.1109/TNN.2008.2010771.
  • [46] 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, iss. 1, pp. 158--167, 2008. doi:10.1109/TNN.2007.904015.
  • [47] D. Peng and Zhang Yi, "A modified Oja--Xu MCA learning algorithm and its convergence analysis," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 54, iss. 4, pp. 348--352, 2007. doi:10.1109/TCSII.2006.889709.
  • [48] 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: Cybernetics, vol. 37, iss. 5, pp. 1407--1413, 2007. doi:10.1109/TSMCB.2007.903369.
  • [49] 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, iss. 6, pp. 1557--1571, 2007. doi:10.1109/TNN.2007.895824.
  • [50] D. Peng and Zhang Yi, "Dynamics of generalized PCA and MCA learning algorithms," IEEE Transactions on Neural Networks, vol. 18, iss. 6, pp. 1777--1784, 2007. doi:10.1109/TNN.2007.895821.
  • [51] 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, iss. 3, pp. 910--916, 2007. doi:10.1109/TNN.2007.891193.
  • [52] D. Peng and Zhang Yi, "Convergence analysis of a deterministic discrete time system of feng's MCA learning algorithm," IEEE transactions on signal processing, vol. 54, iss. 9, pp. 3626--3632, 2006. doi:10.1109/TSP.2006.877662.
  • [53] H. Qu, Zhang Yi, and H. Tang, "Improving local minima of columnar competitive model for TSPs," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 53, iss. 6, pp. 1353--1362, 2006. doi:10.1109/TCSI.2006.874180.
  • [54] 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: Cybernetics, vol. 36, iss. 1, pp. 87--95, 2006. doi:10.1109/TSMCB.2005.854500.
  • [55] Zhang Yi and K. K. Tan, "Global convergence of Lotka-Volterra recurrent neural networks with delays," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 52, iss. 11, pp. 2482--2489, 2005. doi:10.1109/TCSI.2005.853940.
  • [56] 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, iss. 6, pp. 1318--1328, 2005. doi:10.1109/TNN.2005.852236.
  • [57] H. Tang, K. C. Tan, and Zhang Yi, "A columnar competitive model for solving combinatorial optimization problems," IEEE Transactions on Neural Networks, vol. 15, iss. 6, pp. 1568--1574, 2004. doi:10.1109/TNN.2004.836244.
  • [58] 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, iss. 2, pp. 329--336, 2004. doi:10.1109/TNN.2004.824272.
  • [59] Zhang Yi, P. A. Heng, and P. Vadakkepat, "Absolute periodicity and absolute stability of delayed neural networks," IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 49, iss. 2, pp. 256--261, 2002. doi:10.1109/81.983875.
  • [60] Zhang Yi and P. A. Heng, "Stability of fuzzy control systems with bounded uncertain delays," IEEE Transactions on Fuzzy Systems, vol. 10, iss. 1, pp. 92--97, 2002. doi:10.1109/91.983283.
  • [61] Zhang Yi, A. H. Pheng, and S. L. Kwong, "Convergence analysis of cellular neural networks with unbounded delay," IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 48, iss. 6, pp. 680--687, 2001. doi:10.1109/81.928151.
  • [62] Zhang Yi, P. A. Heng, and P. F. Fung, "Winner-take-all discrete recurrent neural networks," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 47, iss. 12, pp. 1584--1589, 2000. doi:10.1109/82.899661.
  • [63] Zhang Yi, P. A. Heng, and A. W. Fu, "Estimate of exponential convergence rate and exponential stability for neural networks," IEEE Transactions on Neural Networks, vol. 10, iss. 6, pp. 1487--1493, 1999. doi:10.1109/72.809094.

EBioMedicine

  • [1] J. Wang, R. Ju, Y. Chen, L. Zhang, J. Hu, Y. Wu, W. Dong, J. Zhong, and Zhang Yi, "Automated Retinopathy of Prematurity Screening Using Deep Neural Networks," EBioMedicine, vol. 35, pp. 361-368, 2018. doi:10.1016/j.ebiom.2018.08.033.

IEEE Access

  • [1] X. Xu, Q. Guo, J. Guo, and Zhang Yi, "DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks," IEEE Access, Online Early Access, 2018. doi:10.1109/ACCESS.2018.2875406.

International Journal of Neural Systems

  • [1] J. Wang, L. Zhang, Y. Chen, and Zhang Yi, "A New Delay Connection for Long Short-Term Memory Networks," International Journal of Neural Systems, Online Early Access, 2018. doi:10.1142/S0129065717500617.
  • [2] Y.-F. Pu, Zhang Yi, and J.-L. Zhou, "Defense Against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks," International Journal of Neural Systems, vol. 27, iss. 4, pp. 28, 2017. doi:10.1142/S0129065717500034.

Information Sciences

  • [1] C. Luo, T. Li, H. Chen, H. Fujita, and Zhang Yi, "Incremental rough set approach for hierarchical multicriteria classification," Information Sciences, vol. 429, pp. 2-87, 2018. doi:10.1016/j.ins.2017.11.004.
  • [2] Y. Chen, L. Zhang, and Zhang Yi, "Subspace clustering using a low-rank constrained autoencoder," Information Sciences, vol. 424, pp. 27-38, 2018. doi:10.1016/j.ins.2017.09.047.
  • [3] J. Gou, W. Qiu, Zhang Yi, Y. Xu, Q. Mao, and Y. Zhan, "A Local Mean Representation-Based K-Nearest Neighbor Classifier," Information Sciences, Accepted, 2018.
  • [4] C. Zhang and Zhang Yi, "Scale-free fully informed particle swarm optimization algorithm," Information Sciences, vol. 181, iss. 20, pp. 4550-4568, 2011. doi:10.1016/j.ins.2011.02.026.

Pattern Recognition

  • [1] X. Peng, L. Zhang, Zhang Yi, and K. Tan, "Learning locality-constrained collaborative representation for robust face recognition," Pattern Recognition, vol. 47, iss. 9, pp. 2794 - 2806, 2014. doi:10.1016/j.patcog.2014.03.013.
  • [2] L. Ji and Zhang Yi, "Fingerprint orientation field estimation using ridge projection," Pattern Recognition, vol. 41, iss. 5, pp. 1491 - 1503, 2008. doi:10.1016/j.patcog.2007.09.003.

Knowledge-Based Systems

  • [1] M. Yan, J. Guo, W. Tian, and Zhang Yi, "Symmetric convolutional neural network for mandible segmentation," Knowledge-Based Systems, vol. 159, pp. 63-71, 2018. doi:10.1016/j.knosys.2018.06.003.
  • [2] Y. Zhou, H. Mao, and Zhang Yi, "Cell mitosis detection using deep neural networks," Knowledge-Based Systems, vol. 137, pp. 19-28, 2017. doi:10.1016/j.knosys.2017.08.016.
  • [3] Y. Sun, G. G. Yan, and Zhang Yi, "Reference line-based Estimation of Distribution Algorithm for many-objective optimization," Knowledge-Based Systems, vol. 132, pp. 129-143, 2017. doi:10.1016/j.knosys.2017.06.021.
  • [4] J. Chen, H. Mao, Y. Sang, and Zhang Yi, "Subspace Clustering Using a Symmetric Low-Rank Representation," Knowledge-Based Systems, vol. 127, pp. 46-57, 2017. doi:10.1016/j.knosys.2017.02.031.
  • [5] Y. Wang, H. Mao, and Zhang Yi, "Protein Secondary Structure Prediction by using Deep Learning Method," Knowledge-Based Systems, vol. 118, pp. 115-123, 2017. doi:10.1016/j.knosys.2016.11.015.
  • [6] Y. Sang, J. Lv, H. Qu, and Zhang Yi, "Shortest Path Computation Using Pulse-Coupled Neural Networks with Restricted Autowave," Knowledge-Based Systems, vol. 114, pp. 1-11, 2016. doi:10.1016/j.knosys.2016.08.027.
  • [7] C. Luo, T. Li, H. Chen, H. Fujita, and Zhang Yi, "Efficient updating of probabilistic approximations with incremental objects," Knowledge-Based Systems, vol. 109, pp. 71-83, 2016. doi:10.1016/j.knosys.2016.06.025.
  • [8] Q. Guo, J. Jia, G. Shen, Zhang L., L. Cai, and Zhang Yi, "Learning robust uniform features for cross-media social data by using cross autoencoders," Knowledge-Based Systems, vol. 102, iss. 15, pp. 64-75, 2016. doi:10.1016/j.knosys.2016.03.028.
  • [9] C. Luo, T. Li, Zhang Yi, and H. Fujita, "Matrix approach to decision-theoretic rough sets for evolving data," Knowledge-Based Systems, vol. 99, pp. 123-134, 2016. doi:10.1016/j.knosys.2016.01.042.
  • [10] X. Peng, R. Yan, B. Zhao, H. Tang, and Zhang Yi, "Fast Low Rank Representation based Spatial Pyramid Matching for Image Classification," Knowledge-Based Systems, vol. 90, pp. 14-22, 2015. doi:10.1016/j.knosys.2015.10.005.

Neural Networks

  • [1] D. Peng, Zhang Yi, and W. Luo, "Convergence analysis of a simple minor component analysis algorithm," Neural Networks, vol. 20, iss. 7, pp. 842--850, 2007. doi:10.1016/j.neunet.2007.07.001.

Applied Soft Computing

  • [1] Q. Hong, S. X. Yang, Zhang Yi, and X. Wang, "A novel neural network method for shortest path tree computation," Applied Soft Computing, vol. 12, iss. 10, pp. 3246--3259, 2012. doi:10.1016/j.asoc.2012.05.007.

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, iss. 1, pp. 1--27, 2010. doi:10.1007/s10618-009-0134-5.

Neurocomputing

  • [1] J. Chen, H. Zhang, H. Mao, Y. Sang, and Zhang Yi, "Symmetric low-rank representation for subspace clustering," Neurocomputing, vol. 173, iss. 3, pp. 1192-1202, 2016. doi:10.1016/j.neucom.2015.08.077.
  • [2] Y. Chen, L. Zhang, and Zhang Yi, "Nearest convex hull classification by using Lotka-Volterra recurrent neural networks," Neurocomputing, vol. 138, iss. 0, pp. 157 - 166, 2014. doi:10.1016/j.neucom.2014.02.014.
  • [3] F. Xu and Zhang Yi, "Convergence analysis of a class of simplified background neural networks with two subnetworks," Neurocomputing, vol. 74, iss. 18, pp. 3877-3883, 2011. doi:10.1016/j.neucom.2011.08.002.
  • [4] C. Zhang and Zhang Yi, "A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem," Neurocomputing, vol. 73, iss. 7-9, pp. 1244-1255, 2010. doi:10.1016/j.neucom.2010.01.005.
  • [5] C. Zhang and Zhang Yi, "Tree structured artificial immune network with self-organizing reaction operator," Neurocomputing, vol. 73, iss. 1, pp. 336--349, 2009. doi:10.1016/j.neucom.2009.08.007.
  • [6] M. Li, Zhang Yi, and M. Zhu, "Solving TSP by using Lotka-Volterra neural networks," Neurocomputing, vol. 72, iss. 16, pp. 3873--3880, 2009. doi:10.1016/j.neucom.2009.05.002.
  • [7] 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, iss. 16, pp. 3809--3817, 2009. doi:10.1016/j.neucom.2009.05.008.
  • [8] X. Wang, H. Qu, and Zhang Yi, "A modified pulse coupled neural network for shortest-path problem," Neurocomputing, vol. 72, iss. 13, pp. 3028--3033, 2009. doi:10.1016/j.neucom.2009.04.005.
  • [9] L. Shang, Zhang Yi, and L. Ji, "Constrained ZIP code segmentation by a PCNN-based thinning algorithm," Neurocomputing, vol. 72, iss. 7, pp. 1755--1762, 2009. doi:10.1016/j.neucom.2008.07.010.
  • [10] D. Huang and Zhang Yi, "Shape recovery by a generalized topology preserving SOM," Neurocomputing, vol. 72, iss. 1, pp. 573--580, 2008. doi:10.1016/j.neucom.2007.11.011.
  • [11] H. Qu, Zhang Yi, and X. Wang, "Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions," Neurocomputing, vol. 72, iss. 1, pp. 413--419, 2008. doi:10.1016/j.neucom.2007.12.014.
  • [12] D. Huang, Zhang Yi, and X. Pu, "A new local PCA-SOM algorithm," Neurocomputing, vol. 71, iss. 16, pp. 3544--3552, 2008. doi:10.1016/j.neucom.2007.10.004.
  • [13] L. Ji and Zhang Yi, "A mixed noise image filtering method using weighted-linking PCNNs," Neurocomputing, vol. 71, iss. 13, pp. 2986--3000, 2008. doi:10.1016/j.neucom.2007.04.015.
  • [14] 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, iss. 7, pp. 1748--1752, 2008. doi:10.1016/j.neucom.2007.11.012.
  • [15] Y. Li and Zhang Yi, "An algorithm for extracting fetal electrocardiogram," Neurocomputing, vol. 71, iss. 7, pp. 1538--1542, 2008. doi:10.1016/j.neucom.2007.05.001.
  • [16] G. Liu, Zhang Yi, and S. Yang, "A hierarchical intrusion detection model based on the PCA neural networks," Neurocomputing, vol. 70, iss. 7, pp. 1561--1568, 2007. doi:10.1016/j.neucom.2006.10.146.
  • [17] L. Shang and Zhang Yi, "A class of binary images thinning using two PCNNs," Neurocomputing, vol. 70, iss. 4, pp. 1096--1101, 2007. doi:10.1016/j.neucom.2006.08.006.
  • [18] 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, iss. 1, pp. 362--372, 2006. doi:10.1016/j.neucom.2006.01.003.
  • [19] L. Shang, J. C. Lv, and Zhang Yi, "Rigid medical image registration using PCA neural network," Neurocomputing, vol. 69, iss. 13, pp. 1717--1722, 2006. doi:10.1016/j.neucom.2006.01.007.
  • [20] Z. L. Zhang and Zhang Yi, "Robust extraction of specific signals with temporal structure," Neurocomputing, vol. 69, iss. 7, pp. 888--893, 2006. doi:10.1016/j.neucom.2005.09.008.
  • [21] Z. L. Zhang and Zhang Yi, "Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction," Neurocomputing, vol. 69, iss. 7, pp. 894--899, 2006. doi:10.1016/j.neucom.2005.08.004.
  • [22] Z. L. Zhang and Zhang Yi, "Extraction of a source signal whose kurtosis value lies in a specific range," Neurocomputing, vol. 69, iss. 7, pp. 900--904, 2006. doi:10.1016/j.neucom.2005.07.002.
  • [23] K. C. Tan, H. J. Tang, and Zhang Yi, "Global exponential stability of discrete-time neural networks for constrained quadratic optimization," Neurocomputing, vol. 56, iss. 1, pp. 399--406, 2004. doi:10.1016/S0925-2312(03)00442-9.

Physical Review E

  • [1] Zhang Yi and K. K. Tan, "Dynamic stability conditions for Lotka-Volterra recurrent neural networks with delays," Physical Review E, vol. 66, iss. 1, pp. 011910, 2002. doi:10.1103/PhysRevE.66.011910.
  • [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, iss. 1, pp. 671--679, 1995. doi:10.1103/PhysRevE.51.671.

Nonlinear Analysis-Real World Applications

  • [1] L. Zuo, Zhang Yi, and J. C. Lv, "An improved working set selection for SMO-type decomposition method," Nonlinear Analysis-Real World Applications, vol. 11, iss. 5, pp. 3834-3841, 2010. doi:10.1016/j.nonrwa.2010.02.013.

Cognitive Neurodynamics

  • [1] H. Tang, H. Li, and Zhang Yi, "Online learning and stimulus-driven responses of neurons in visual cortex," Cognitive neurodynamics, vol. 5, iss. 1, pp. 77--85, 2011. doi:10.1007/s11571-010-9143-8.

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, iss. 9, pp. 895--901, 1996. doi:10.1080/00207729608929291.
  • [2] Zhang Yi and S. M. Zhong, "Comment on `Robust stability of a class of uncertain nonlinear dynamical systems with time-varying delay'," International Journal of Systems Science, vol. 27, iss. 5, pp. 515--516, 1996. doi:10.1080/00207729608929244.
  • [3] Zhang Yi, "Global exponential stability and periodic solutions of delay Hopfield neural networks," International Journal of Systems Science, vol. 27, iss. 2, pp. 227--231, 1996. doi:10.1080/00207729608929208.
  • [4] Zhang Yi and Y. Zhang, "The stability of linear partial differential equations with infinite delay," International journal of systems science, vol. 26, iss. 9, pp. 1747-1754, 1995. doi:10.1080/00207729508929133.
  • [5] Zhang Yi and S. P. Banks, "Stability of nonlinear analytic delay equations," International journal of systems science, vol. 25, iss. 11, pp. 2015--2022, 1994. doi:10.1080/00207729408949330.

Neural Processing Letters

  • [1] Y. Sang, Zhang Yi, and J. Zhou, "Spatial Point-Data Reduction Using Pulse Coupled Neural Network," Neural Processing Letters, vol. 32, iss. 1, pp. 11-29, 2010. doi:10.1007/s11063-010-9140-2.
  • [2] S. Yang and Zhang Yi, "Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm," Neural Processing Letters, vol. 31, iss. 1, pp. 45-64, 2010. doi:10.1007/s11063-009-9126-0.
  • [3] D. Huang, Zhang Yi, and X. Pu, "A New Incremental PCA Algorithm With Application to Visual Learning and Recognition," Neural Processing Letters, vol. 30, iss. 3, pp. 171--185, 2009. doi:10.1007/s11063-009-9117-1.
  • [4] H. Qu, Zhang Yi, and X. Wang, "A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections," Neural Processing Letters, vol. 29, iss. 3, pp. 143-154, 2009. doi:10.1007/s11063-009-9100-x.
  • [5] J. Lv, 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, iss. 1, pp. 35-47, 2008. doi:10.1007/s11063-008-9080-2.
  • [6] L. Shang, Zhang Yi, and L. Ji, "Binary Image Thinning Using Autowaves Generated by PCNN," Neural Processing Letters, vol. 25, iss. 1, pp. 49-62, 2007. doi:10.1007/s11063-006-9030-9.
  • [7] M. Ye and Zhang Yi, "Complete Convergence of Competitive Neural Networks with Different Time Scales," Neural Processing Letters, vol. 21, iss. 1, pp. 53--60, 2005. doi:10.1007/s11063-004-3427-0.

Machine Learning

  • [1] L Li, J. Lv, and Zhang Yi, "A non-negative representation learning algorithm for selecting neighbors," Machine Learning, vol. 102, iss. 2, pp. 133-153, 2016. doi:10.1007/s10994-015-5501-4.

Soft Computing

  • [1] J. Wei, J. C. Lv, and Zhang Yi, "Robust classifier using distance-based representation with square weights," Soft Computing, vol. 19, iss. 2, pp. 507-515, 2015. doi:10.1007/s00500-014-1272-2.
  • [2] C. Yang and Zhang Yi, "Document clustering using locality preserving indexing and support vector machines," Soft Computing, vol. 12, iss. 7, pp. 677--683, 2008. doi:10.1007/s00500-007-0246-z.

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, iss. 3, pp. 639--662, 2003. doi:10.1162/089976603321192112.

Pattern Recognition Letters

  • [1] Y. Kuang, L. Zhang, and Zhang Yi, "An adaptive rank-sparsity K-SVD algorithm for image sequence denoising," Pattern Recognition Letters, vol. 45, pp. 46-54, 2014. doi:10.1016/j.patrec.2014.03.003.
  • [2] J. Waqas, Zhang Yi, and L. Zhang, "Collaborative Neighbor Representation Based Classification Using L2-minimization Approach," Pattern Recognition Letters, vol. 34, iss. 2, pp. 201--208, 2013. doi:10.1016/j.patrec.2012.09.024.

Journal of Visual Communication and Image Representation

  • [1] T. Xiong, L. Zhang, and Zhang Yi, "Double Gaussian mixture model for image segmentation with spatial relationships," Journal of Visual Communication and Image Representation, vol. 34, pp. 135-145, 2016. doi:10.1016/j.jvcir.2015.10.018.
  • [2] J. Chen and Zhang Yi, "Sparse representation for face recognition by discriminative low-rank matrix recovery," Journal of Visual Communication and Image Representation, vol. 25, iss. 5, pp. 763 - 773, 2014. doi:10.1016/j.jvcir.2014.01.015.

Neural Computing and Applications

  • [1] Y. Sun, H. Mao, Y. Sang, and Zhang Yi, "Explicit guiding auto-encoders for learning meaningful representation," Neural Computing & Applications, vol. 28, iss. 3, pp. 429-436, 2017. doi:10.1007/s00521-015-2082-x.
  • [2] Y. Wang, H. Mao, and Zhang Yi, "Stem cell motion-tracking by using deep neural networks with multi-output," Neural Computing & Applications, Online Early Access, 2017. doi:10.1007/s00521-017-3291-2.
  • [3] X. Shi, G. Cheng, P. A. Heng, and Zhang Yi, "Tracking topology structure adaptively with deep neural networks," Neural Computing & Applications, Online Early Access, 2017. doi:10.1007/s00521-017-2906-y.
  • [4] Y. Zhou and L. Zhang a d Zhang Yi, "Predicting movie box-office revenues using deep neural networks," Neural Computing & Applications, Online Early Access, 2017. doi:10.1007/s00521-017-3162-x.
  • [5] Y. Sun, H. Mao, Q. Guo, and Zhang Yi, "Learning a good representation with unsymmetrical auto-encoder," Neural Computing & Applications, vol. 27, iss. 5, pp. 1361-1367, 2016. doi:10.1007/s00521-015-1939-3.
  • [6] T. He, H. Mao, and Zhang Yi, "Moving object recognition using multi-view three-dimensional convolutional neural networks," Neural Computing & Applications, Online Early Access, 2016. doi:10.1007/s00521-016-2277-9.
  • [7] W. Jadoon, L. Zhang, and Zhang Yi, "Extended Collaborative Neighbor Representation for Robust Single-Sample Face Recognition," Neural Computing & Applications, vol. 28, iss. 8, pp. 1991-2000, 2015. doi:10.1007/s00521-015-1843-x.
  • [8] Y. Li, Zhang Yi, and J Lv, "Support vector set selection using pulse-coupled neural networks," Neural Computing & Applications, vol. 25, iss. 2, pp. 401-410, 2014. doi:10.1007/s00521-013-1506-8.
  • [9] T. Xiong, L. Zhang, and Zhang Yi, "Robust t-distribution mixture modeling via spatially directional information," Neural Computing & Applications, vol. 24, iss. 6, pp. 1269-1283, 2014. doi:10.1007/s00521-013-1358-2.
  • [10] Y. Kuang, Zhang Yi, and L. Zhang, "An improved code selection algorithm for fault prediction," Neural Computing & Applications, vol. 22, iss. 7-8, pp. 1763-1772, 2013. doi:10.1007/s00521-012-1203-z.
  • [11] B. Zheng and Zhang Yi, "Using competitive layer model implemented by Lotka-Volterra recurrent neural networks for detecting brain activated regions from fMRI data," Neural Computing & Applications, vol. 22, iss. suppl 1, pp. 395-404, 2013. doi:10.1007/s00521-012-0972-8.
  • [12] L. Ji, Zhang Yi, and L. Shang, "An improved pulse coupled neural network for image processing," Neural Computing & Applications, vol. 17, iss. 3, pp. 255-263, 2008. doi:10.1007/s00521-007-0119-5.
  • [13] X. Pu, Zhang Yi, and Z. Fang, "Holistic and partial facial features fusion by binary particle swarm optimization," Neural Computing & Applications, vol. 17, iss. 5-6, pp. 481-488, 2008. doi:10.1007/s00521-007-0148-0.
  • [14] X. Jiang, Zhang Yi, and J. Lv, "Fuzzy SVM with a new fuzzy membership function," Neural Computing & Applications, vol. 15, iss. 3, pp. 268 -276, 2006. doi:10.1007/s00521-006-0028-z.
  • [15] M. Ye, Zhang Yi, and J. Lv, "A globally convergent learning algorithm for PCA neural networks," Neural Computing & Applications, vol. 14, iss. 1, pp. 18-24, 2005. doi:10.1007/s00521-004-0435-y.

Digital Signal Processing

  • [1] B. Zheng and Zhang Yi, "A new method based on the CLM of the LV RNN for brain MR image segmentation," Digital Signal Processing, vol. 22, iss. 3, pp. 497 - 505, 2012. doi:10.1016/j.dsp.2012.01.004.
  • [2] D. Peng, Zhang Yi, and X. Yong, "A unified learning algorithm to extract principal and minor components," Digital Signal Processing, vol. 19, iss. 4, pp. 640 - 649, 2009. doi:10.1016/j.dsp.2009.03.004.

Computers and Mathematics with Applications

  • [1] F. Xu and Zhang Yi, "Continuous attractors of a class of neural networks with a large number of neurons," Computers & Mathematics with Applications, vol. 62, iss. 10, pp. 3785-3795, 2011. doi:10.1016/j.camwa.2011.09.027.
  • [2] M. Wan, Zhang Yi, J. C. Lv, and J. Zhou, "Stability and chaos analysis for an ICA algorithm," Computers & Mathematics with Applications, vol. 60, iss. 6, pp. 1810-1827, 2010. doi:10.1016/j.camwa.2010.07.013.
  • [3] H. Zhang, Zhang Yi, and L. Zhang, "Continuous attractors of a class of recurrent neural networks," Computers & Mathematics with Applications, vol. 56, iss. 12, pp. 3130 - 3137, 2008. doi:10.1016/j.camwa.2008.07.035.
  • [4] D. Peng, Zhang Yi, J. Lv, and X. Yong, "A Stable MCA Learning Algorithm," Computers & Mathematics with Applications, vol. 56, iss. 4, pp. 847--860, 2008. doi:10.1016/j.camwa.2008.01.016.
  • [5] J. Lv and Zhang Yi, "Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate," Computers & Mathematics with Applications, vol. 52, iss. 10 - 11, pp. 1425 - 1438, 2006. doi:10.1016/j.camwa.2006.08.028.
  • [6] Zhang Yi, Y. Fu, and H. J. Tang, "Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix," Computers & Mathematics with Applications, vol. 47, iss. 8-9, pp. 1155-1164, 2004. doi:10.1016/S0898-1221(04)90110-1.

Mathematical and Computer Modelling

  • [1] D. Peng, Zhang Yi, and X. Yong, "On the discrete time dynamics of a self-stabilizing MCA learning algorithm," Mathematical and Computer Modelling, vol. 47, iss. 9-10, pp. 903 - 916, 2008. doi:10.1016/j.mcm.2007.06.013.

Multimedia Tools and Applications

  • [1] Y. Zeng, H. Mao, D. Peng, and Zhang Yi, "Spectrogram based multi-task audio classification," Multimedia Tools and Applications, Online Early Access, 2017. doi:10.1007/s11042-017-5539-3.
  • [2] T. Xiong, Zhang Yi, and L. Zhang, "Grayscale image segmentation by spatially variant mixture model with student's t-distribution," Multimedia Tools and Applications, vol. 72, iss. 1, pp. 167-189, 2014. doi:10.1007/s11042-012-1336-1.

Circuits Systems and Signal Processing

  • [1] Y. Kuang, L. Zhang, and Zhang Yi, "Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning," Circuits Systems and Signal Processing, vol. 33, iss. 7, pp. 2151-2171, 2014. doi:10.1007/s00034-013-9734-9.

Pattern Analysis and Applications

  • [1] Y. Kuang, L. Zhang, and Zhang Yi, "Constructing L1-graphs for Subspace Learning via Recurrent Neural Networks," Pattern Analysis and Applications, vol. 18, iss. 4, pp. 817-828, 2015. doi:10.1007/s10044-014-0370-1.

Journal of mathematical analysis and applications

  • [1] Zhang Yi, "Stability of neutral Lotka--Volterra systems," Journal of mathematical analysis and applications, vol. 199, iss. 2, pp. 391--402, 1996. doi:10.1006/jmaa.1996.0148.

Computer Journal

  • [1] J. Gou and Zhang Yi, "Locality-based discriminant neighborhood embedding," Computer Journal, vol. 56, iss. 9, pp. 1063--1082, 2013. doi:10.1093/comjnl/bxs113.
  • [2] J. Gou, Zhang Yi, L. Du, and T. Xiong, "A local mean-based k-nearest centroid neighbor classifier," computer journal, vol. 55, iss. 9, pp. 1058--1071, 2012. doi:10.1093/comjnl/bxr131.

International Journal of Pattern Recognition and Artificial Intelligence

  • [1] Y. Chen, L. Zhang, and Zhang Yi, "A Novel Low Rank Representation Algorithm for Subspace Clustering," International Journal of Pattern Recognition and Artificial Intelligence, vol. 30, iss. 4, pp. 1-16, 2016. doi:10.1142/S0218001416500075.
  • [2] J. Waqas, Yi Zhang, and L. Zhang, "Graph-based Features Extraction via Datum Adaptive Weighted Collaborative Representation for Face Recognition," International Journal of Pattern Recognition and Artificial Intelligence, vol. 28, iss. 02, pp. 1451003, 2014. doi:10.1142/S0218001414510033.

Science China-Information Sciences

  • [1] X. Fu, L. Cai, Y. Liu, J. Jia, W. Chen, Zhang Yi, G. Zhao, Y. Liu, and C. Wu, "A computational cognition model of perception, memory, and judgment," Science China-Information Sciences, vol. 57, iss. 3, pp. 1-15, 2014. doi:10.1007/s11432-013-4911-9.

Electronics Letters

  • [1] P. Hu, D. Peng, Zhang Yi, and Y. Xiang, "Robust time-spread echo watermarking using characteristics of host signals," Electronics Letters, vol. 52, iss. 1, pp. 5-6, 2016. doi:10.1049/el.2015.1508.
  • [2] L. Zhen, Zhang Yi, X. Peng, and D. Peng, "Locally linear representation for image clustering," Electronics Letters, vol. 50, iss. 13, pp. 942-943, 2014. doi:10.1049/el.2014.0666.
  • [3] H. Zhang, Zhang Yi, and X. Peng, "fLRR: fast low-rank representation using Frobenius-norm," Electronics Letters, vol. 50, iss. 13, pp. 936-938(2), 2014. doi:10.1049/el.2014.1396.
  • [4] X. Peng, L. Zhang, and Zhang Yi, "Inductive sparse subspace clustering," Electronics Letters, vol. 49, iss. 19, pp. 1222-1224, 2013. doi:10.1049/el.2013.1789.
  • [5] Q. Guo, L. Zhang, S. Wang, and Zhang Yi, "Rigid image registration via column sparse optimisation for seal registration," Electronics Letters, vol. 49, iss. 17, pp. 1069-1071, 2013. doi:10.1049/el.2013.0835.

Theoretical Computer Science

  • [1] K. K. Tan, J. C. Lv, Zhang Yi, and S. Huang, "Adaptive multiple minor directions extraction in parallel using a PCA neural network," Theoretical computer science, vol. 411, iss. 48, pp. 4200-4215, 2010. doi:10.1016/j.tcs.2010.07.021.
  • [2] D. Peng and Zhang Yi, "Convergence analysis of the OJAn MCA learning algorithm by the deterministic discrete time method," Theoretical computer science, vol. 378, iss. 1, pp. 87--100, 2007. doi:10.1016/j.tcs.2007.03.010.
  • [3] 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, iss. 3, pp. 286--307, 2006. doi:10.1016/j.tcs.2006.07.012.
  • [4] Zhang Yi, "Global exponential convergence of recurrent neural networks with variable delays," Theoretical computer science, vol. 312, iss. 2, pp. 281--293, 2004. doi:10.1016/j.tcs.2003.09.006.

Information Processing Letters

  • [1] X. Peng, Zhang Yi, X.-Y. Wei, D. Peng, and Y. Sang, "Free-gram phrase identification for modeling Chinese text," Information Processing Letters, vol. 113, iss. 4, pp. 137-144, 2013. doi:10.1016/j.ipl.2012.11.005.

Journal of Biological Systems

  • [1] F. Xu and Zhang Yi, "ANALYSIS OF A CLASS OF RECURRENT NEURAL NETWORKS WITH ARBITRARY EXPONENTS," Journal of Biological Systems, vol. 18, iss. spec01, pp. 65-79, 2011. doi:10.1142/S0218339010003627.

Image and Vision Computing

  • [1] T. He, H. Mao, J. Guo, and Zhang Yi, "Cell Tracking Using Deep Neural Networks with Multi-task Learning," Image and Vision Computing, vol. 60, pp. 142-153, 2017. doi:10.1016/j.imavis.2016.11.010.

Others

  • [1] Y. Feng, L. Zhang, and Zhang Yi, "Breast cancer cell nuclei classification in histopathology images using deep neural networks," International Journal of Computer Assisted Radiology and Surgery, Online Early Access, 2018. doi:10.1007/s11548-017-1663-9.
  • [2] J. Yu and Zhang Yi, "Stability Analysis and Fuzzy Control for Uncertain Delayed T-S Nonlinear Systems," International Journal of Fuzzy Systems, vol. 18, iss. 6, pp. 1031-1038, 2016. doi:10.1007/s40815-016-0203-z.
  • [3] Q. Fu, J. Wang, L. Zhang, Zhang Yi, and X. Fu, "Computational models of implicit sequence learning: Distinguishing abstract processes from chunking processes," A sponsored supplement to Science: Advances in Computational Psychophysiology, pp. 22-24, 2016. link.
Last Updated: Nov., 2018