Zhang Yi
According to our database^{1},
Zhang Yi
authored at least 174 papers
between 1996 and 2018.
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Bibliography
2018
Recurrent Neural Networks With Auxiliary Memory Units.
IEEE Trans. Neural Netw. Learning Syst., 2018
Connections Between NuclearNorm and FrobeniusNormBased Representations.
IEEE Trans. Neural Netw. Learning Syst., 2018
Graph Regularized Restricted Boltzmann Machine.
IEEE Trans. Neural Netw. Learning Syst., 2018
A FractionalOrder Variational Framework for Retinex: FractionalOrder Partial Differential EquationBased Formulation for MultiScale Nonlocal Contrast Enhancement with Texture Preserving.
IEEE Trans. Image Processing, 2018
Improved Regularity ModelBased EDA for ManyObjective Optimization.
IEEE Trans. Evolutionary Computation, 2018
Subnormal Distribution Derived From Evolving Networks With Variable Elements.
IEEE Trans. Cybernetics, 2018
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.
IEEE Trans. Cognitive and Developmental Systems, 2018
Incremental rough set approach for hierarchical multicriteria classification.
Inf. Sci., 2018
Subspace clustering using a lowrank constrained autoencoder.
Inf. Sci., 2018
Symmetric lowrank preserving projections for subspace learning.
Neurocomputing, 2018
Breast cancer cell nuclei classification in histopathology images using deep neural networks.
Int. J. Computer Assisted Radiology and Surgery, 2018
Continuous Attractors of 3D DiscreteTime Ring Networks with Circulant Weight Matrix.
Proceedings of the Advances in Neural Networks  ISNN 2018, 2018
2017
Parameter as a Switch Between Dynamical States of a Network in Population Decoding.
IEEE Trans. Neural Netw. Learning Syst., 2017
Efficient Training of Supervised Spiking Neural Network via Accurate SynapticEfficiency Adjustment Method.
IEEE Trans. Neural Netw. Learning Syst., 2017
Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2017
Bag of Events: An Efficient ProbabilityBased Feature Extraction Method for AER Image Sensors.
IEEE Trans. Neural Netw. Learning Syst., 2017
HighOrder Measurements for Residual Classifiers.
IEEE Trans. Neural Netw. Learning Syst., 2017
Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.
IEEE Trans. Cybernetics, 2017
Constructing the L2Graph for Robust Subspace Learning and Subspace Clustering.
IEEE Trans. Cybernetics, 2017
Explicit guiding autoencoders for learning meaningful representation.
Neural Computing and Applications, 2017
Protein secondary structure prediction by using deep learning method.
Knowl.Based Syst., 2017
Reference linebased Estimation of Distribution Algorithm for manyobjective optimization.
Knowl.Based Syst., 2017
Subspace clustering using a symmetric lowrank representation.
Knowl.Based Syst., 2017
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations.
CoRR, 2017
Global viewbased selection mechanism for manyobjective evolutionary algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
A Unified Framework for RepresentationBased Subspace Clustering of OutofSample and LargeScale Data.
IEEE Trans. Neural Netw. Learning Syst., 2016
Evolving ScaleFree Networks by Poisson Process: Modeling and Degree Distribution.
IEEE Trans. Cybernetics, 2016
Learning a good representation with unsymmetrical autoencoder.
Neural Computing and Applications, 2016
A nonnegative representation learning algorithm for selecting neighbors.
Machine Learning, 2016
Shortest path computation using pulsecoupled neural networks with restricted autowave.
Knowl.Based Syst., 2016
Efficient updating of probabilistic approximations with incremental objects.
Knowl.Based Syst., 2016
Matrix approach to decisiontheoretic rough sets for evolving data.
Knowl.Based Syst., 2016
Learning robust uniform features for crossmedia social data by using cross autoencoders.
Knowl.Based Syst., 2016
Double Gaussian mixture model for image segmentation with spatial relationships.
J. Visual Communication and Image Representation, 2016
A Novel Low Rank Representation Algorithm for Subspace Clustering.
IJPRAI, 2016
Symmetric lowrank representation for subspace clustering.
Neurocomputing, 2016
Manifold dimension reduction based clustering for multiobjective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A fuzzy cmeans clustering based tournament selection for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
NonDivergence of Stochastic Discrete Time Algorithms for PCA Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2015
A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering.
IEEE Trans. Image Processing, 2015
Robust classifier using distancebased representation with square weights.
Soft Comput., 2015
Constructing L_{1}graphs for subspace learning via recurrent neural networks.
Pattern Anal. Appl., 2015
Fast low rank representation based spatial pyramid matching for image classification.
Knowl.Based Syst., 2015
Connections Between Nuclear Norm and Frobenius Norm Based Representation.
CoRR, 2015
Robust Subspace Clustering via Thresholding Ridge Regression.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
2014
Convergence Analysis of Graph Regularized NonNegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2014
Sensor Fusion Method for Horizon Detection From an Aircraft in Low Visibility Conditions.
IEEE Trans. Instrumentation and Measurement, 2014
Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks.
IEEE Trans. on Circuits and Systems, 2014
An adaptive ranksparsity KSVD algorithm for image sequence denoising.
Pattern Recognition Letters, 2014
Learning localityconstrained collaborative representation for robust face recognition.
Pattern Recognition, 2014
Robust tdistribution mixture modeling via spatially directional information.
Neural Computing and Applications, 2014
Support vector set selection using pulsecoupled neural networks.
Neural Computing and Applications, 2014
Grayscale image segmentation by spatially variant mixture model with student's tdistribution.
Multimedia Tools Appl., 2014
Sparse representation for face recognition by discriminative lowrank matrix recovery.
J. Visual Communication and Image Representation, 2014
Nearest convex hull classification by using LotkaVolterra recurrent neural networks.
Neurocomputing, 2014
Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning.
CSSP, 2014
Symmetric lowrank representation for subspace clustering.
CoRR, 2014
Subspace Clustering by Exploiting a LowRank Representation with a Symmetric Constraint.
CoRR, 2014
Fast Lowrank Representation based Spatial Pyramid Matching for Image Classification.
CoRR, 2014
Principal Coefficients Embedding: Theory and Algorithm.
CoRR, 2014
A computational cognition model of perception, memory, and judgment.
SCIENCE CHINA Information Sciences, 2014
A Local NonNegative Pursuit Method for Intrinsic Manifold Structure Preservation.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
2013
Efficient ShortestPathTree Computation in Network Routing Based on PulseCoupled Neural Networks.
IEEE Trans. Cybernetics, 2013
Collaborative neighbor representation based classification using l_{2}minimization approach.
Pattern Recognition Letters, 2013
An improved code selection algorithm for fault prediction.
Neural Computing and Applications, 2013
Freegram phrase identification for modeling Chinese text.
Inf. Process. Lett., 2013
Locally linear representation for subspace learning and clustering
CoRR, 2013
Inductive Sparse Subspace Clustering
CoRR, 2013
An Outofsample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets.
CoRR, 2013
LocalityBased Discriminant Neighborhood Embedding.
Comput. J., 2013
Scalable Sparse Subspace Clustering.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
A Globally Convergent MC Algorithm With an Adaptive Learning Rate.
IEEE Trans. Neural Netw. Learning Syst., 2012
Learning LocalityConstrained Collaborative Representation for Face Recognition
CoRR, 2012
Constructing L2Graph For Subspace Learning and Segmentation
CoRR, 2012
A Local MeanBased kNearest Centroid Neighbor Classifier.
Comput. J., 2012
A novel neural network method for shortest path tree computation.
Appl. Soft Comput., 2012
The Infinite Hidden Markov Random Field Model Based on Student's tDistribution.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012
2011
CMBased Blind Equalization of TimeVarying SIMOFIR Channel With Single Pulsation Estimation.
IEEE Trans. Vehicular Technology, 2011
Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function.
IEEE Trans. Neural Networks, 2011
2010
Continuous attractors of LotkaVolterra recurrent neural networks with infinite neurons.
IEEE Trans. Neural Networks, 2010
A discretetime neural network for optimization problems with hybrid constraints.
IEEE Trans. Neural Networks, 2010
A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks.
IEEE Trans. Fuzzy Systems, 2010
Adaptive multiple minor directions extraction in parallel using a PCA neural network.
Theor. Comput. Sci., 2010
Convergence Analysis of NonNegative Matrix Factorization for BSS Algorithm.
Neural Processing Letters, 2010
Spatial PointData Reduction Using Pulse Coupled Neural Network.
Neural Processing Letters, 2010
SCALE: a scalable framework for efficiently clustering transactional data.
Data Min. Knowl. Discov., 2010
Stability and chaos analysis for an ICA algorithm.
Computers & Mathematics with Applications, 2010
2009
Convergence analysis of a class of HyvärinenOja's ICA learning algorithms with constant learning rates.
IEEE Trans. Signal Processing, 2009
ManifoldBased Learning and Synthesis.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009
Representations of Continuous Attractors of Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2009
Permitted and Forbidden Sets in DiscreteTime Linear Threshold Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2009
RealTime Robot Path Planning Based on a Modified PulseCoupled Neural Network Model.
IEEE Trans. Neural Networks, 2009
VisionServo System for Automated Cell Injection.
IEEE Trans. Industrial Electronics, 2009
Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold DiscreteTime Recurrent Neural Networks.
IEEE Trans. Automat. Contr., 2009
A WinnerTakeAll Neural Networks of N Linear Threshold Neurons without SelfExcitatory Connections.
Neural Processing Letters, 2009
A New Incremental PCA Algorithm With Application to Visual Learning and Recognition.
Neural Processing Letters, 2009
Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions.
Neurocomputing, 2009
A modified pulse coupled neural network for shortestpath problem.
Neurocomputing, 2009
Constrained ZIP code segmentation by a PCNNbased thinning algorithm.
Neurocomputing, 2009
Text extraction from images captured via mobile and digital devices.
IJCVR, 2009
A unified learning algorithm to extract principal and minor components.
Digital Signal Processing, 2009
Distributed fault detection in industrial system based on sensor wireless network.
Computer Standards & Interfaces, 2009
Continuous Attractors of LotkaVolterra Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2009
Solving the CLM Problem by DiscreteTime Linear Threshold Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2009
2008
Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions.
IEEE Trans. Neural Networks, 2008
Document clustering using locality preserving indexing and support vector machines.
Soft Comput., 2008
Fingerprint orientation field estimation using ridge projection.
Pattern Recognition, 2008
Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks.
Neural Processing Letters, 2008
Holistic and partial facial features fusion by binary particle swarm optimization.
Neural Computing and Applications, 2008
An improved pulse coupled neural network for image processing.
Neural Computing and Applications, 2008
On the discrete time dynamics of a selfstabilizing MCA learning algorithm.
Mathematical and Computer Modelling, 2008
A tabu search approach for the minimum sumofsquares clustering problem.
Inf. Sci., 2008
Switching analysis of 2D neural networks with nonsaturating linear threshold transfer functions.
Neurocomputing, 2008
A neural networks learning algorithm for minor component analysis and its convergence analysis.
Neurocomputing, 2008
An algorithm for extracting fetal electrocardiogram.
Neurocomputing, 2008
A mixed noise image filtering method using weightedlinking PCNNs.
Neurocomputing, 2008
A new local PCASOM algorithm.
Neurocomputing, 2008
Shape recovery by a generalized topology preserving SOM.
Neurocomputing, 2008
Continuous attractors of a class of recurrent neural networks.
Computers & Mathematics with Applications, 2008
A stable MCA learning algorithm.
Computers & Mathematics with Applications, 2008
Motion Determination Using Nonuniform Sampling Based Density Clustering.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Software Based Vision System for Automated Cell Injection.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2007
Binary Fingerprint Image Thinning Using TemplateBased PCNNs.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007
Dynamics of Generalized PCA and MCA Learning Algorithms.
IEEE Trans. Neural Networks, 2007
Global Convergence of GHA Learning Algorithm With NonzeroApproaching Adaptive Learning Rates.
IEEE Trans. Neural Networks, 2007
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model.
IEEE Trans. Neural Networks, 2007
Convergence analysis of the OJAn MCA learning algorithm by the deterministic discrete time method.
Theor. Comput. Sci., 2007
A Modified OjaXu MCA Learning Algorithm and Its Convergence Analysis.
IEEE Trans. on Circuits and Systems, 2007
Binary Image Thinning Using Autowaves Generated by PCNN.
Neural Processing Letters, 2007
Convergence analysis of a simple minor component analysis algorithm.
Neural Networks, 2007
A class of binary images thinning using two PCNNs.
Neurocomputing, 2007
A hierarchical intrusion detection model based on the PCA neural networks.
Neurocomputing, 2007
Clustering Using an Improved Hybrid Genetic Algorithm.
International Journal on Artificial Intelligence Tools, 2007
A robust and Globally convergent PCA Learning Algorithm.
Control and Intelligent Systems, 2007
Global Exponential Convergence of TimeVarying Delayed Neural Networks with High Gain.
Proceedings of the Advances in Neural Networks, 2007
Sequential Blind Signal Extraction with the Linear Predictor.
Proceedings of the Advances in Neural Networks, 2007
SVMbased Fingerprint Classification Using Orientation Field.
Proceedings of the Third International Conference on Natural Computation, 2007
2006
Convergence analysis of a deterministic discrete time system of feng's MCA learning algorithm.
IEEE Trans. Signal Processing, 2006
Output convergence analysis for a class of delayed recurrent neural networks with timevarying inputs.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2006
Global convergence of Oja's PCA learning algorithm with a nonzeroapproaching adaptive learning rate.
Theor. Comput. Sci., 2006
Improving local minima of columnar competitive model for TSPs.
IEEE Trans. on Circuits and Systems, 2006
Fuzzy SVM with a new fuzzy membership function.
Neural Computing and Applications, 2006
Rigid medical image registration using PCA neural network.
Neurocomputing, 2006
Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method.
Neurocomputing, 2006
Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate.
Computers & Mathematics with Applications, 2006
An Improved Hybrid Genetic Clustering Algorithm.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006
Growing Hierarchical Principal Components Analysis SelfOrganizing Map.
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Convergence and Periodicity of Solutions for a Class of DiscreteTime Recurrent Neural Network with Two Neurons.
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Recognizing Partially Damaged Facial Images by Subspace Autoassociative Memories.
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Intrusion Detection Using PCASOM Neural Networks.
Proceedings of the Advances in Neural Networks  ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Fingerprint Classification by SPCNN and Combined LVQ Networks.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
2005
Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm.
IEEE Trans. Neural Networks, 2005
Global convergence of LotkaVolterra recurrent neural networks with delays.
IEEE Trans. on Circuits and Systems, 2005
Complete Convergence of Competitive Neural Networks with Different Time Scales.
Neural Processing Letters, 2005
A globally convergent learning algorithm for PCA neural networks.
Neural Computing and Applications, 2005
Fast ICA for Online Cashflow Analysis.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Face Recognition Using Fisher Nonnegative Matrix Factorization with Sparseness Constraints.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A Modified MCA EXIN Algorithm and Its Convergence Analysis.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
An Improved Backpropagation Algorithm Using Absolute Error Function.
Proceedings of the Advances in Neural Networks  ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Mining Association Rules Based on Seed Items and Weights.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
Clustering Categorical Data Using Coverage Density.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005
2004
Multistability of discretetime recurrent neural networks with unsaturating piecewise linear activation functions.
IEEE Trans. Neural Networks, 2004
A columnar competitive model for solving combinatorial optimization problems.
IEEE Trans. Neural Networks, 2004
Authors' reply to comment on "stability of fuzzy control systems with bounded uncertain delays".
IEEE Trans. Fuzzy Systems, 2004
On the Discrete Time Dynamics of the MCA Neural Networks.
Proceedings of the Advances in Neural Networks, 2004
SelfOrganizing Feature Map Based Data Mining.
Proceedings of the Advances in Neural Networks, 2004
Convergence Analysis for Oja+ MCA Learning Algorithm.
Proceedings of the Advances in Neural Networks, 2004
2003
Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions.
Neural Computation, 2003
2002
Stability of fuzzy control systems with bounded uncertain delays.
IEEE Trans. Fuzzy Systems, 2002
2000
Clustering Categorical Data.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000
1999
Estimate of exponential convergence rate and exponential stability for neural networks.
IEEE Trans. Neural Networks, 1999
1996
Brief communication Periodic solutions and stability of Hopfield neural networks with variable delays.
Int. J. Systems Science, 1996
Comment on 'Robust stability of a class of uncertain nonlinear dynamical systems with timevarying delay'.
Int. J. Systems Science, 1996