Zhang Yi

According to our database1, Zhang Yi authored at least 174 papers between 1996 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Recurrent Neural Networks With Auxiliary Memory Units.
IEEE Trans. Neural Netw. Learning Syst., 2018

Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations.
IEEE Trans. Neural Netw. Learning Syst., 2018

Graph Regularized Restricted Boltzmann Machine.
IEEE Trans. Neural Netw. Learning Syst., 2018

A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving.
IEEE Trans. Image Processing, 2018

Improved Regularity Model-Based EDA for Many-Objective 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 low-rank constrained autoencoder.
Inf. Sci., 2018

Symmetric low-rank 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 3-D Discrete-Time 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 Synaptic-Efficiency 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 Probability-Based Feature Extraction Method for AER Image Sensors.
IEEE Trans. Neural Netw. Learning Syst., 2017

High-Order 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 L2-Graph for Robust Subspace Learning and Subspace Clustering.
IEEE Trans. Cybernetics, 2017

Explicit guiding auto-encoders for learning meaningful representation.
Neural Computing and Applications, 2017

Protein secondary structure prediction by using deep learning method.
Knowl.-Based Syst., 2017

Reference line-based Estimation of Distribution Algorithm for many-objective optimization.
Knowl.-Based Syst., 2017

Subspace clustering using a symmetric low-rank representation.
Knowl.-Based Syst., 2017

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations.
CoRR, 2017

Global view-based selection mechanism for many-objective evolutionary algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.
IEEE Trans. Neural Netw. Learning Syst., 2016

Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution.
IEEE Trans. Cybernetics, 2016

Learning a good representation with unsymmetrical auto-encoder.
Neural Computing and Applications, 2016

A non-negative representation learning algorithm for selecting neighbors.
Machine Learning, 2016

Shortest path computation using pulse-coupled neural networks with restricted autowave.
Knowl.-Based Syst., 2016

Efficient updating of probabilistic approximations with incremental objects.
Knowl.-Based Syst., 2016

Matrix approach to decision-theoretic rough sets for evolving data.
Knowl.-Based Syst., 2016

Learning robust uniform features for cross-media 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 low-rank representation for subspace clustering.
Neurocomputing, 2016

Manifold dimension reduction based clustering for multi-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A fuzzy c-means clustering based tournament selection for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Non-Divergence 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 distance-based representation with square weights.
Soft Comput., 2015

Constructing L1-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 Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Convergence Analysis of Graph Regularized Non-Negative 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 rank-sparsity K-SVD algorithm for image sequence denoising.
Pattern Recognition Letters, 2014

Learning locality-constrained collaborative representation for robust face recognition.
Pattern Recognition, 2014

Robust t-distribution mixture modeling via spatially directional information.
Neural Computing and Applications, 2014

Support vector set selection using pulse-coupled neural networks.
Neural Computing and Applications, 2014

Grayscale image segmentation by spatially variant mixture model with student's t-distribution.
Multimedia Tools Appl., 2014

Sparse representation for face recognition by discriminative low-rank matrix recovery.
J. Visual Communication and Image Representation, 2014

Nearest convex hull classification by using Lotka-Volterra recurrent neural networks.
Neurocomputing, 2014

Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning.
CSSP, 2014

Symmetric low-rank representation for subspace clustering.
CoRR, 2014

Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint.
CoRR, 2014

Fast Low-rank 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 Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks.
IEEE Trans. Cybernetics, 2013

Collaborative neighbor representation based classification using l2-minimization approach.
Pattern Recognition Letters, 2013

An improved code selection algorithm for fault prediction.
Neural Computing and Applications, 2013

Free-gram 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 Out-of-sample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets.
CoRR, 2013

Locality-Based 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 Locality-Constrained Collaborative Representation for Face Recognition
CoRR, 2012

Constructing L2-Graph For Subspace Learning and Segmentation
CoRR, 2012

A Local Mean-Based k-Nearest 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 t-Distribution.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2011
CM-Based Blind Equalization of Time-Varying SIMO-FIR 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 Lotka-Volterra recurrent neural networks with infinite neurons.
IEEE Trans. Neural Networks, 2010

A discrete-time 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 Non-Negative Matrix Factorization for BSS Algorithm.
Neural Processing Letters, 2010

Spatial Point-Data 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 Hyvärinen-Oja's ICA learning algorithms with constant learning rates.
IEEE Trans. Signal Processing, 2009

Manifold-Based 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 Discrete-Time Linear Threshold Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2009

Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model.
IEEE Trans. Neural Networks, 2009

Vision-Servo System for Automated Cell Injection.
IEEE Trans. Industrial Electronics, 2009

Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks.
IEEE Trans. Automat. Contr., 2009

A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory 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 shortest-path problem.
Neurocomputing, 2009

Constrained ZIP code segmentation by a PCNN-based 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 Lotka-Volterra Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

Solving the CLM Problem by Discrete-Time 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 self-stabilizing MCA learning algorithm.
Mathematical and Computer Modelling, 2008

A tabu search approach for the minimum sum-of-squares clustering problem.
Inf. Sci., 2008

Switching analysis of 2-D 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 weighted-linking PCNNs.
Neurocomputing, 2008

A new local PCA-SOM 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 Non-uniform 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 Template-Based 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 Nonzero-Approaching 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 Oja-Xu 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 Time-Varying 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

SVM-based 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 time-varying inputs.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2006

Global convergence of Oja's PCA learning algorithm with a non-zero-approaching 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 Self-Organizing 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 Discrete-Time 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 Auto-associative 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 Lotka-Volterra 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 Non-negative 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 discrete-time 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

Self-Organizing 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 time-varying delay'.
Int. J. Systems Science, 1996


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