Zhang Yi

Orcid: 0000-0002-5867-9322

Affiliations:
  • Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, Chengdu
  • Chinese Academy of Science, Institute of Mathematics, Beijing, China (PhD 1994)


According to our database1, Zhang Yi authored at least 343 papers between 1996 and 2024.

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Bibliography

2024
Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics.
Int. J. Comput. Intell. Syst., December, 2024

ABSR: Progressive Alternate Refinement for Blind Cardiac MRI Super-Resolution.
IEEE Internet Things J., October, 2024

Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning.
Int. J. Neural Syst., October, 2024

A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations.
Int. J. Neural Syst., September, 2024

A systematic survey of fuzzy deep learning for uncertain medical data.
Artif. Intell. Rev., September, 2024

ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging.
IEEE J. Biomed. Health Informatics, August, 2024

Biobjective Optimization Method for Large-Scale Group Decision Making Based on Hesitant Fuzzy Linguistic Preference Relations With Granularity Levels.
IEEE Trans. Fuzzy Syst., August, 2024

Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multiobjective Evolutionary Generative Adversarial Network Compression for Image Translation.
IEEE Trans. Evol. Comput., June, 2024

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation.
Int. J. Neural Syst., April, 2024

Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation.
Expert Syst. Appl., March, 2024

Hierarchical graph augmented stacked autoencoders for multi-view representation learning.
Inf. Fusion, February, 2024

Weighted Graph-Structured Semantics Constraint Network for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024

DBSR: Quadratic Conditional Diffusion Model for Blind Cardiac MRI Super-Resolution.
IEEE Trans. Multim., 2024

Difference-Aware Distillation for Semantic Segmentation.
IEEE Trans. Multim., 2024

Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning.
IEEE Trans. Multim., 2024

Hierarchical Locality-Aware Deep Dictionary Learning for Classification.
IEEE Trans. Multim., 2024

Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation.
IEEE Trans. Multim., 2024

Multi-instance imbalance semantic segmentation by instance-dependent attention and adaptive hard instance mining.
Knowl. Based Syst., 2024

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation.
Neurocomputing, 2024

Strengthening Layer Interaction via Dynamic Layer Attention.
CoRR, 2024

Federated Distillation: A Survey.
CoRR, 2024

Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

IarCAC: Instance-Aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation.
Int. J. Neural Syst., December, 2023

RegNet: Self-Regulated Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

GFF-Net: Graph-based feature fusion network for diagnosing plus disease in retinopathy of prematurity.
Appl. Intell., November, 2023

MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement.
Appl. Intell., November, 2023

Channel-Correlation-Based Selective Knowledge Distillation.
IEEE Trans. Cogn. Dev. Syst., September, 2023

RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection.
IEEE Trans. Parallel Distributed Syst., June, 2023

Multilevel Attention-Based Sample Correlations for Knowledge Distillation.
IEEE Trans. Ind. Informatics, May, 2023

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification.
Medical Image Anal., April, 2023

Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images.
Knowl. Based Syst., April, 2023

Robust co-teaching learning with consistency-based noisy label correction for medical image classification.
Int. J. Comput. Assist. Radiol. Surg., April, 2023

Spark Rough Hypercuboid Approach for Scalable Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2023

The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
Comput. Methods Programs Biomed., February, 2023

Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition.
IEEE Trans. Multim., 2023

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.
IEEE Trans. Cybern., 2023

Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction.
Neural Networks, 2023

Fine-grained recognition: Multi-granularity labels and category similarity matrix.
Knowl. Based Syst., 2023

Multilayer perceptron neural network with regression and ranking loss for patient-specific quality assurance.
Knowl. Based Syst., 2023

Weight matrix as a switch between line attractor and plane attractor of ring neural networks.
Neurocomputing, 2023

Intelligent Analysis of Fundus Images - Methods and Applications
Series on Deep Learning Neural Networks 1, WorldScientific, ISBN: 9789811270383, 2023

2022
An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Evolutionary Shallowing Deep Neural Networks at Block Levels.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Attention-Based Imbalanced Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

RECISTSup: Weakly-Supervised Lesion Volume Segmentation Using RECIST Measurement.
IEEE Trans. Medical Imaging, 2022

Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification.
IEEE Trans. Intell. Transp. Syst., 2022

Deep Neural Network With Structural Similarity Difference and Orientation-Based Loss for Position Error Classification in the Radiotherapy of Graves' Ophthalmopathy Patients.
IEEE J. Biomed. Health Informatics, 2022

Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks.
IEEE Trans. Cybern., 2022

Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks.
IEEE Trans. Cybern., 2022

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Partially Recurrent Network With Highway Connections.
IEEE Trans. Cogn. Dev. Syst., 2022

Evolutionary Neural Architecture Search for Automatic Esophageal Lesion Identification and Segmentation.
IEEE Trans. Artif. Intell., 2022

Gram regularization for sparse and disentangled representation.
Pattern Anal. Appl., 2022

Continuous Recurrent Neural Networks Based on Function Satlins.
Neural Process. Lett., 2022

Segmentation for regions of interest in radiotherapy by self-supervised learning.
Knowl. Based Syst., 2022

Cross-granularity multi-task network for ischemia diagnosis and defect detection in the myocardial perfusion imaging.
Knowl. Based Syst., 2022

Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy.
Knowl. Based Syst., 2022

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces.
Knowl. Based Syst., 2022

VMAT dose prediction in radiotherapy by using progressive refinement UNet.
Neurocomputing, 2022

Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning.
Neurocomputing, 2022

Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance.
Int. J. Neural Syst., 2022

An intelligent system for craniomaxillofacial defecting reconstruction.
Int. J. Intell. Syst., 2022

A medical question answering system using large language models and knowledge graphs.
Int. J. Intell. Syst., 2022

An automatic fine-grained skeleton segmentation method for whole-body bone scintigraphy using atlas-based registration.
Int. J. Comput. Assist. Radiol. Surg., 2022

Metal artifact reduction for oral and maxillofacial computed tomography images by a generative adversarial network.
Appl. Intell., 2022

Multi-view fusion segmentation for brain glioma on CT images.
Appl. Intell., 2022

Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function.
Appl. Intell., 2022

Deep Dictionary Learning with an Intra-Class Constraint.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Efficient Esophageal Lesion Detection using Polarization Regularized Network Slimming.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health.
IEEE Wirel. Commun., 2021

DeepUWF: An Automated Ultra-Wide-Field Fundus Screening System via Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks.
IEEE Trans. Cybern., 2021

Learning Manifold Structures With Subspace Segmentations.
IEEE Trans. Cybern., 2021

An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature.
IEEE Trans. Cogn. Dev. Syst., 2021

Deep adversarial domain adaptation for breast cancer screening from mammograms.
Medical Image Anal., 2021

Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy.
Medical Image Anal., 2021

Missed diagnoses detection by adversarial learning.
Knowl. Based Syst., 2021

Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images.
IEEE Intell. Transp. Syst. Mag., 2021

Coexistence of continuous attractors with different dimensions for neural networks.
Neurocomputing, 2021

A multi-instance networks with multiple views for classification of mammograms.
Neurocomputing, 2021

Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy.
Neurocomputing, 2021

Cephalometric landmark detection by considering translational invariance in the two-stage framework.
Neurocomputing, 2021

The effect of coefficients on the continuous attractors in coupled Highway Neural Networks.
Neurocomputing, 2021

Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks.
Neurocomputing, 2021

An intelligent system of pelvic lymph node detection.
Int. J. Intell. Syst., 2021

Class mean-weighted discriminative collaborative representation for classification.
Int. J. Intell. Syst., 2021

Automatic airway tree segmentation based on multi-scale context information.
Int. J. Comput. Assist. Radiol. Surg., 2021

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
Int. J. Comput. Assist. Radiol. Surg., 2021

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.
BMC Medical Imaging, 2021

Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.
BMC Medical Imaging, 2021

DeepUWF-plus: automatic fundus identification and diagnosis system based on ultrawide-field fundus imaging.
Appl. Intell., 2021

Application of Internet Plus: TCM Clinical Intelligent Decision Making.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

A prior-based method for colorectal lymph node region classification via deep neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification.
IEEE Trans. Medical Imaging, 2020

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.
IEEE J. Biomed. Health Informatics, 2020

Outlier Detection Using Structural Scores in a High-Dimensional Space.
IEEE Trans. Cybern., 2020

Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020

Weighted discriminative collaborative competitive representation for robust image classification.
Neural Networks, 2020

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Medical Image Anal., 2020

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.
Medical Image Anal., 2020

Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks.
Medical Image Anal., 2020

Multi-task learning for the segmentation of organs at risk with label dependence.
Medical Image Anal., 2020

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images.
Knowl. Based Syst., 2020

Neural networks model based on an automated multi-scale method for mammogram classification.
Knowl. Based Syst., 2020

Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks.
Knowl. Based Syst., 2020

Surrogate dropout: Learning optimal drop rate through proxy.
Knowl. Based Syst., 2020

Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks.
Neurocomputing, 2020

Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks.
Neurocomputing, 2020

A novel method to compute the weights of neural networks.
Neurocomputing, 2020

DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks.
Int. J. Intell. Syst., 2020

Multilabel classification by exploiting data-driven pair-wise label dependence.
Int. J. Intell. Syst., 2020

Line attractors of coupled ring neural networks with block circulant weight matrix.
Int. J. Comput. Math., 2020

Discriminative globality and locality preserving graph embedding for dimensionality reduction.
Expert Syst. Appl., 2020

2019
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2019

Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.
IEEE Trans. Medical Imaging, 2019

A Local Mean Representation-based <i>K</i>-Nearest Neighbor Classifier.
ACM Trans. Intell. Syst. Technol., 2019

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Evol. Comput., 2019

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations.
IEEE Trans. Evol. Comput., 2019

Robust Multiobjective Optimization via Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2019

A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System.
IEEE Trans. Cybern., 2019

Predicting movie box-office revenues using deep neural networks.
Neural Comput. Appl., 2019

Stem cell motion-tracking by using deep neural networks with multi-output.
Neural Comput. Appl., 2019

Spectrogram based multi-task audio classification.
Multim. Tools Appl., 2019

Automated diagnosis of breast ultrasonography images using deep neural networks.
Medical Image Anal., 2019

Automated segmentation of macular edema in OCT using deep neural networks.
Medical Image Anal., 2019

Automated identification and grading system of diabetic retinopathy using deep neural networks.
Knowl. Based Syst., 2019

A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE.
Knowl. Based Syst., 2019

Locality constrained representation-based K-nearest neighbor classification.
Knowl. Based Syst., 2019

Locality-constrained least squares regression for subspace clustering.
Knowl. Based Syst., 2019

DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images.
J. Medical Syst., 2019

A New Sparse Restricted Boltzmann Machine.
Int. J. Pattern Recognit. Artif. Intell., 2019

A collaborative contour detector by gradient and active contours for ultrasound kidney images.
Int. J. Comput. Math., 2019

Diagnosis of Diabetic Retinopathy Using Deep Neural Networks.
IEEE Access, 2019

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images.
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

Discriminative Group Collaborative Competitive Representation for Visual Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Theoretical Study of Oscillator Neurons in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

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

An Efficient Representation-Based Method for Boundary Point and Outlier Detection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Graph Regularized Restricted Boltzmann Machine.
IEEE Trans. Neural Networks Learn. 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 Process., 2018

Improved Regularity Model-Based EDA for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

Subnormal Distribution Derived From Evolving Networks With Variable Elements.
IEEE Trans. Cybern., 2018

Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.
IEEE Trans. Cogn. Dev. Syst., 2018

Tracking topology structure adaptively with deep neural networks.
Neural Comput. Appl., 2018

Symmetric convolutional neural network for mandible segmentation.
Knowl. Based Syst., 2018

Audio classification using attention-augmented convolutional neural network.
Knowl. Based Syst., 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

A New Delay Connection for Long Short-Term Memory Networks.
Int. J. Neural Syst., 2018

Breast cancer cell nuclei classification in histopathology images using deep neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2018

DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks.
IEEE Access, 2018

Sparsity and Geometry Preserving Graph Embedding for Dimensionality Reduction.
IEEE Access, 2018

A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition.
IEEE Access, 2018

Continuous Attractors of 3-D Discrete-Time Ring Networks with Circulant Weight Matrix.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Underdetermined Blind Source Separation Using Sparse Coding.
IEEE Trans. Neural Networks Learn. Syst., 2017

Parameter as a Switch Between Dynamical States of a Network in Population Decoding.
IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.
IEEE Trans. Neural Networks Learn. Syst., 2017

Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors.
IEEE Trans. Neural Networks Learn. Syst., 2017

High-Order Measurements for Residual Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2017

Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images.
IEEE Trans. Image Process., 2017

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.
IEEE Trans. Cybern., 2017

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.
IEEE Trans. Cybern., 2017

Automatic Subspace Learning via Principal Coefficients Embedding.
IEEE Trans. Cybern., 2017

Explicit guiding auto-encoders for learning meaningful representation.
Neural Comput. Appl., 2017

Moving object recognition using multi-view three-dimensional convolutional neural networks.
Neural Comput. Appl., 2017

Cell mitosis detection using deep neural networks.
Knowl. Based Syst., 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

Cell tracking using deep neural networks with multi-task learning.
Image Vis. Comput., 2017

Deep Sparse Subspace Clustering.
CoRR, 2017

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

Cascade Subspace Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

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

Learning a good representation with unsymmetrical auto-encoder.
Neural Comput. Appl., 2016

A non-negative representation learning algorithm for selecting neighbors.
Mach. Learn., 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. Vis. Commun. Image Represent., 2016

A Novel Low Rank Representation Algorithm for Subspace Clustering.
Int. J. Pattern Recognit. Artif. Intell., 2016

Symmetric low-rank representation for subspace clustering.
Neurocomputing, 2016

Stability Analysis and Fuzzy Control for Uncertain Delayed T-S Nonlinear Systems.
Int. J. Fuzzy Syst., 2016

Deep Subspace Clustering with Sparsity Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 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 Networks Learn. Syst., 2015

A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering.
IEEE Trans. Image Process., 2015

Robust classifier using distance-based representation with square weights.
Soft Comput., 2015

Constructing L<sub>1</sub>-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. Instrum. Meas., 2014

Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

An adaptive rank-sparsity K-SVD algorithm for image sequence denoising.
Pattern Recognit. Lett., 2014

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

Robust t-distribution mixture modeling via spatially directional information.
Neural Comput. Appl., 2014

Support vector set selection using pulse-coupled neural networks.
Neural Comput. Appl., 2014

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

Sparse representation for face recognition by discriminative low-rank matrix recovery.
J. Vis. Commun. Image Represent., 2014

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

Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning.
Circuits Syst. Signal Process., 2014

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

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

Principal Coefficients Embedding: Theory and Algorithm.
CoRR, 2014

A computational cognition model of perception, memory, and judgment.
Sci. China Inf. Sci., 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. Cybern., 2013

Collaborative neighbor representation based classification using l<sub>2</sub>-minimization approach.
Pattern Recognit. Lett., 2013

Using competitive layer model implemented by Lotka-Volterra recurrent neural networks for detecting brain activated regions from fMRI data.
Neural Comput. Appl., 2013

An improved code selection algorithm for fault prediction.
Neural Comput. Appl., 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 Networks Learn. Syst., 2012

A new method based on the CLM of the LV RNN for brain MR image segmentation.
Digit. Signal Process., 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 <i>k</i>-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. Veh. Technol., 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 Syst., 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 Process. Lett., 2010

Spatial Point-Data Reduction Using Pulse Coupled Neural Network.
Neural Process. Lett., 2010

Collaborative Virtual Surgery: Techniques, Applications and Challenges.
Int. J. Virtual Real., 2010

SCALE: a scalable framework for efficiently clustering transactional data.
Data Min. Knowl. Discov., 2010

Stability and chaos analysis for an ICA algorithm.
Comput. Math. Appl., 2010

A Method for MRI Segmentation of Brain Tissue.
Proceedings of the Advances in Neural Networks, 2010

2009
Convergence analysis of a class of Hyvärinen-Oja's ICA learning algorithms with constant learning rates.
IEEE Trans. Signal Process., 2009

Manifold-Based Learning and Synthesis.
IEEE Trans. Syst. Man Cybern. 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. Ind. Electron., 2009

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

A Winner-Take-All Neural Networks of <i>N</i> Linear Threshold Neurons without Self-Excitatory Connections.
Neural Process. Lett., 2009

A New Incremental PCA Algorithm With Application to Visual Learning and Recognition.
Neural Process. Lett., 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.
Int. J. Comput. Vis. Robotics, 2009

A unified learning algorithm to extract principal and minor components.
Digit. Signal Process., 2009

Distributed fault detection in industrial system based on sensor wireless network.
Comput. Stand. 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 Recognit., 2008

Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks.
Neural Process. Lett., 2008

Holistic and partial facial features fusion by binary particle swarm optimization.
Neural Comput. Appl., 2008

An improved pulse coupled neural network for image processing.
Neural Comput. Appl., 2008

On the discrete time dynamics of a self-stabilizing MCA learning algorithm.
Math. Comput. Model., 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.
Comput. Math. Appl., 2008

A stable MCA learning algorithm.
Comput. Math. Appl., 2008

A kernel view of manifold analysis for face images.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 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. Syst. Man Cybern. 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. Circuits Syst. II Express Briefs, 2007

Binary Image Thinning Using Autowaves Generated by PCNN.
Neural Process. Lett., 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.
Int. J. Artif. Intell. Tools, 2007

A robust and Globally convergent PCA Learning Algorithm.
Control. Intell. Syst., 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 Process., 2006

Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs.
IEEE Trans. Syst. Man Cybern. 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. Circuits Syst. I Regul. Pap., 2006

Fuzzy SVM with a new fuzzy membership function.
Neural Comput. Appl., 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.
Comput. Math. Appl., 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. Circuits Syst. I Regul. Pap., 2005

Complete Convergence of Competitive Neural Networks with Different Time Scales.
Neural Process. Lett., 2005

A globally convergent learning algorithm for PCA neural networks.
Neural Comput. Appl., 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 Syst., 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 Comput., 2003

2002
Stability of fuzzy control systems with bounded uncertain delays.
IEEE Trans. Fuzzy Syst., 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. Syst. Sci., 1996

Comment on 'Robust stability of a class of uncertain nonlinear dynamical systems with time-varying delay'.
Int. J. Syst. Sci., 1996


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