Shitong Wang

According to our database1, Shitong Wang authored at least 166 papers between 2002 and 2019.

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



In proceedings 
PhD thesis 





Fast Reduced Set-Based Exemplar Finding and Cluster Assignment.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2019

Multiview Fuzzy Logic System With the Cooperation Between Visible and Hidden Views.
IEEE Trans. Fuzzy Systems, 2019

Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data.
IEEE Trans. Fuzzy Systems, 2019

Generalized Hidden-Mapping Transductive Transfer Learning for Recognition of Epileptic Electroencephalogram Signals.
IEEE Trans. Cybernetics, 2019

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybernetics, 2019

v-soft margin multi-task learning logistic regression.
Int. J. Machine Learning & Cybernetics, 2019

Structure regularized sparse coding for data representation.
Knowl.-Based Syst., 2019

Black Hole Entropic Fuzzy Clustering.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

Bayesian Takagi-Sugeno-Kang Fuzzy Model and Its Joint Learning of Structure Identification and Parameter Estimation.
IEEE Trans. Industrial Informatics, 2018

Stacked Blockwise Combination of Interpretable TSK Fuzzy Classifiers by Negative Correlation Learning.
IEEE Trans. Fuzzy Systems, 2018

Deep Takagi-Sugeno-Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules.
IEEE Trans. Fuzzy Systems, 2018

Data-Driven Elastic Fuzzy Logic System Modeling: Constructing a Concise System With Human-Like Inference Mechanism.
IEEE Trans. Fuzzy Systems, 2018

Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets.
IEEE Trans. Fuzzy Systems, 2018

Fast convex-hull vector machine for training on large-scale ncRNA data classification tasks.
Knowl.-Based Syst., 2018

SSC-EKE: Semi-supervised classification with extensive knowledge exploitation.
Inf. Sci., 2018

Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models.
Inf. Sci., 2018

Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes.
IEEE Access, 2018

A Novel Takagi-Sugeno Fuzzy System Modeling Method with Joint Feature Selection and Rule Reduction.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Realizing Two-View TSK Fuzzy Classification System by Using Collaborative Learning.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Affinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness.
IEEE Trans. Neural Netw. Learning Syst., 2017

Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data.
IEEE Trans. Fuzzy Systems, 2017

Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System.
IEEE Trans. Fuzzy Systems, 2017

Bayesian Takagi-Sugeno-Kang Fuzzy Classifier.
IEEE Trans. Fuzzy Systems, 2017

Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation.
IEEE Trans. Emerging Topics in Comput. Intellig., 2017

Generalized competitive agglomeration clustering algorithm.
Int. J. Machine Learning & Cybernetics, 2017

Incremental enhanced α-expansion move for large data: a probability regularization perspective.
Int. J. Machine Learning & Cybernetics, 2017

Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching.
Knowl.-Based Syst., 2017

Synchronization clustering based on central force optimization and its extension for large-scale datasets.
Knowl.-Based Syst., 2017

A robust fuzzy clustering algorithm using mean-field-approximation based hidden Markov random field model for image segmentation.
Journal of Intelligent and Fuzzy Systems, 2017

Large-scale fuzzy multiple-medoid clustering method.
Journal of Intelligent and Fuzzy Systems, 2017

Bayesian zero-order TSK fuzzy system modeling.
Appl. Soft Comput., 2017

Semi-supervised learning using hidden feature augmentation.
Appl. Soft Comput., 2017

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Enhanced Knowledge-Leverage-Based TSK Fuzzy System Modeling for Inductive Transfer Learning.
ACM TIST, 2016

Takagi-Sugeno-Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals.
IEEE Trans. Fuzzy Systems, 2016

Transfer Prototype-Based Fuzzy Clustering.
IEEE Trans. Fuzzy Systems, 2016

Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering.
IEEE Trans. Cybernetics, 2016

Semi-Supervised SVM With Extended Hidden Features.
IEEE Trans. Cybernetics, 2016

Distance metric learning for soft subspace clustering in composite kernel space.
Pattern Recognition, 2016

Cross-domain, soft-partition clustering with diversity measure and knowledge reference.
Pattern Recognition, 2016

A local and global classification machine with collaborative mechanism.
Pattern Anal. Appl., 2016

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
Neural Networks, 2016

Multi-view L2-SVM and its multi-view core vector machine.
Neural Networks, 2016

A fast leave-one-out cross-validation for SVM-like family.
Neural Computing and Applications, 2016

Linear combination of densities and its direct estimation framework with applications.
Neural Computing and Applications, 2016

A novel multi-task TSK fuzzy classifier and its enhanced version for labeling-risk-aware multi-task classification.
Inf. Sci., 2016

Transfer affinity propagation-based clustering.
Inf. Sci., 2016

Semi-supervised classification method through oversampling and common hidden space.
Inf. Sci., 2016

A survey on soft subspace clustering.
Inf. Sci., 2016

Bayesian Enhanced α-Expansion Move Clustering with Loose Link Constraints.
Neurocomputing, 2016

Enhanced algorithm for high-dimensional data classification.
Appl. Soft Comput., 2016

An Improved TA-SVM Method Without Matrix Inversion and Its Fast Implementation for Nonstationary Datasets.
IEEE Trans. Neural Netw. Learning Syst., 2015

Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model.
IEEE Trans. Fuzzy Systems, 2015

Collaborative Fuzzy Clustering From Multiple Weighted Views.
IEEE Trans. Cybernetics, 2015

Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure.
IEEE Trans. Cybernetics, 2015

Multitask Coupled Logistic Regression and its Fast Implementation for Large Multitask Datasets.
IEEE Trans. Cybernetics, 2015

Privacy preserving and fast decision for novelty detection using support vector data description.
Soft Comput., 2015

Convex nonnegative matrix factorization with manifold regularization.
Neural Networks, 2015

Nonnegative matrix factorization with manifold regularization and maximum discriminant information.
Int. J. Machine Learning & Cybernetics, 2015

Locality Preserving Semi-Supervised Support Vector Machine.
J. Inf. Sci. Eng., 2015

Common-decision-vector based multiple source transfer classification learning and its fast implementation.
Journal of Intelligent and Fuzzy Systems, 2015

A novel privacy-preserving probability transductive classifiers from group probabilities based on regression model.
Journal of Intelligent and Fuzzy Systems, 2015

Evolutionary sampling: A novel way of machine learning within a probabilistic framework.
Inf. Sci., 2015

Support vector machine with manifold regularization and partially labeling privacy protection.
Inf. Sci., 2015

Multi-task TSK fuzzy system modeling using inter-task correlation information.
Inf. Sci., 2015

A fast learning method for feedforward neural networks.
Neurocomputing, 2015

Minimum class spread constrained support vector machine.
Neurocomputing, 2015

Feedforward kernel neural networks, generalized least learning machine, and its deep learning with application to image classification.
Appl. Soft Comput., 2015

A SVM based classification method for homogeneous data.
Appl. Soft Comput., 2015

T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System.
IEEE Trans. Neural Netw. Learning Syst., 2014

Scaling Up Synchronization-Inspired Partitioning Clustering.
IEEE Trans. Knowl. Data Eng., 2014

Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets.
IEEE Trans. Cybernetics, 2014

Generalized Hidden-Mapping Ridge Regression, Knowledge-Leveraged Inductive Transfer Learning for Neural Networks, Fuzzy Systems and Kernel Methods.
IEEE Trans. Cybernetics, 2014

MSAFC: matrix subspace analysis with fuzzy clustering ability.
Soft Comput., 2014

Double indices-induced FCM clustering and its integration with fuzzy subspace clustering.
Pattern Anal. Appl., 2014

Enhanced fuzzy partitions vs data randomness in FCM.
Journal of Intelligent and Fuzzy Systems, 2014

Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features.
Neurocomputing, 2014

Sparsity regularization label propagation for domain adaptation learning.
Neurocomputing, 2014

Dm-KDE: dynamical kernel density estimation by sequences of KDE estimators with fixed number of components over data streams.
Frontiers Comput. Sci., 2014

Least learning machine and its experimental studies on regression capability.
Appl. Soft Comput., 2014

Transductive domain adaptive learning for epileptic electroencephalogram recognition.
Artificial Intelligence in Medicine, 2014

Multiple-kernel based soft subspace fuzzy clustering.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Knowledge-leverage based TSK fuzzy system with improved knowledge transfer.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Knowledge-Leverage-Based TSK Fuzzy System Modeling.
IEEE Trans. Neural Netw. Learning Syst., 2013

Knowledge-Leverage-Based Fuzzy System and Its Modeling.
IEEE Trans. Fuzzy Systems, 2013

New insight at level set & Gaussian mixture model for natural image segmentation.
Signal, Image and Video Processing, 2013

Minimum-maximum local structure information for feature selection.
Pattern Recognition Letters, 2013

From Gaussian kernel density estimation to kernel methods.
Int. J. Machine Learning & Cybernetics, 2013

Fuzzy partition based soft subspace clustering and its applications in high dimensional data.
Inf. Sci., 2013

A minimax probabilistic approach to feature transformation for multi-class data.
Appl. Soft Comput., 2013

Weighted spherical 1-mean with phase shift and its application in electrocardiogram discord detection.
Artificial Intelligence in Medicine, 2013

Training probability transductive classifiers for group probability datasets based on regression.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Fast Graph-Based Relaxed Clustering for Large Data Sets Using Minimal Enclosing Ball.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

On minimum distribution discrepancy support vector machine for domain adaptation.
Pattern Recognition, 2012

Generalized locality preserving Maxi-Min Margin Machine.
Neural Networks, 2012

Scaling up minimum enclosing ball with total soft margin for training on large datasets.
Neural Networks, 2012

The Maximum Vector-Angular Margin Classifier and its fast training on large datasets using a core vector machine.
Neural Networks, 2012

A kernel learning framework for domain adaptation learning.
SCIENCE CHINA Information Sciences, 2012

Double indices induced FCM clustering and its integration with fuzzy subspace clustering.
Proceedings of the FUZZ-IEEE 2012, 2012

Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal-Enclosing-Ball Approximation.
IEEE Trans. Fuzzy Systems, 2011

Theoretical analysis for solution of support vector data description.
Neural Networks, 2011

Positive and negative fuzzy rule system, extreme learning machine and image classification.
Int. J. Machine Learning & Cybernetics, 2011

Clustering-Inverse: A Generalized Model for Pattern-Based Time Series Segmentation.
JILSA, 2011

Matrix pattern based minimum within-class scatter support vector machines.
Appl. Soft Comput., 2011

EEW-SC: Enhanced Entropy-Weighting Subspace Clustering for high dimensional gene expression data clustering analysis.
Appl. Soft Comput., 2011

Speeding up local and global learning of M4.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Study of dependency between the input noise and the parameter in fuzzy linear regression model.
Proceedings of the FUZZ-IEEE 2011, 2011

Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Robust Relief-Feature Weighting, Margin Maximization, and Fuzzy Optimization.
IEEE Trans. Fuzzy Systems, 2010

Transformation between type-2 TSK fuzzy systems and an uncertain Gaussian mixture model.
Soft Comput., 2010

On minimum class locality preserving variance support vector machine.
Pattern Recognition, 2010

Enhanced soft subspace clustering integrating within-cluster and between-cluster information.
Pattern Recognition, 2010

p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection.
Int. J. Software and Informatics, 2010

Introducing Gravitational Force into Affinity Propagation Clustering.
Int. J. Software and Informatics, 2010

Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

An Adaptive Fuzzy-Inference-Rule-Based Flexible Model for Automatic Elastic Image Registration.
IEEE Trans. Fuzzy Systems, 2009

From Minimum Enclosing Ball to Fast Fuzzy Inference System Training on Large Datasets.
IEEE Trans. Fuzzy Systems, 2009

Parametric and nonparametric evolutionary computing with a content-based feature selection approach for parallel categorization.
Expert Syst. Appl., 2009

Robust fuzzy clustering-based image segmentation.
Appl. Soft Comput., 2009

Fuzzy Logical on Boolean Networks as Model of Gene Regulatory Networks.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input.
IEEE Trans. Fuzzy Systems, 2008

An enhanced possibilistic C-Means clustering algorithm EPCM.
Soft Comput., 2008

A novel image thresholding method based on Parzen window estimate.
Pattern Recognition, 2008

FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation.
Pattern Recognition, 2008

A robust neuro-fuzzy network approach to impulse noise filtering for color images.
Appl. Soft Comput., 2008

Weighted Semi-supervised Fuzzy Clustering.
Proceedings of the Fuzzy Information and Engineering, 2008

Possibility Theoretic Clustering and its Preliminary Application to Large Image Segmentation.
Soft Comput., 2007

Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection.
Neurocomputing, 2007

Dependency between degree of fit and input noise in fuzzy linear regression using non-symmetric fuzzy triangular coefficients.
Fuzzy Sets and Systems, 2007

Robust fuzzy clustering neural network based on epsilon-insensitive loss function.
Appl. Soft Comput., 2007

Advanced fuzzy cellular neural network: Application to CT liver images.
Artificial Intelligence in Medicine, 2007

A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid.
Proceedings of the International Joint Conference on Neural Networks, 2007

A New Level Set Method for Image Segmentation Integrated with FCM.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

A New Filter for Color Images Corrupted by Impulse Noise.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Supervised FCNN Classification for Garment Seams.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

A New Detection Algorithm (NDA) Based on Fuzzy Cellular Neural Networks for White Blood Cell Detection.
IEEE Trans. Information Technology in Biomedicine, 2006

A novel adaptive SVR based filter ASBF for image restoration.
Soft Comput., 2006

Experimental study on parameter choices in norm-r support vector regression machines with noisy input.
Soft Comput., 2006

Robust maximum entropy clustering algorithm with its labeling for outliers.
Soft Comput., 2006

Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets.
Soft Comput., 2006

Clustering Analysis of Gene Expression Data based on Semi-supervised Visual Clustering Algorithm.
Soft Comput., 2006

Applying Robust Directional Similarity Based Clustering Approach Rdsc to Classification of Gene Expression Data.
J. Bioinformatics and Computational Biology, 2006

Hierarchical Extraction of Remote Sensing Data Based on Support Vector Machines and Knowledge Processing.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Applying the Semisupervised Bayesian Approach to Classifier Design.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Fully Automated Pattern Classification Method of Combining Self-Organizing Map with Generalization Regression Neural Network.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Comparative Study on Input-Expansion-Based Improved General Regression Neural Network and Levenberg-Marquardt BP Network.
Proceedings of the Intelligent Computing, 2006

A Comparative Study on Improved Fuzzy Support Vector Machines and Levenberg-Marquardt-Based BP Network.
Proceedings of the Intelligent Computing, 2006

Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input.
Soft Comput., 2005

A new gaussian noise filter based on interval type-2 fuzzy logic systems.
Soft Comput., 2005

Note on the equivalence relationship between Renyi-entropy based and Tsallis-entropy based image thresholding.
Pattern Recognition Letters, 2005

Why did Time Series Subsequence Clustering Disguise US: the Overall Analysis.
I. J. Information Acquisition, 2005

Fuzzy taxonomy, quantitative database and mining generalized association rules.
Intell. Data Anal., 2005

Performing clustering analysis on collaborative models.
Intell. Data Anal., 2005

Cascaded centralized TSK fuzzy system: universal approximator and high interpretation.
Appl. Soft Comput., 2005

Applying Advanced Fuzzy Cellular Neural Network AFCNN to Segmentation of Serial CT Liver Images.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Possibility Theoretic Clustering.
Proceedings of the Advances in Intelligent Computing, 2005

Note on the relationship between probabilistic and fuzzy clustering.
Soft Comput., 2004

Note on the relationship between probabilistic and fuzzy clustering.
Soft Comput., 2004

Fuzzy kernel hyperball perceptron.
Appl. Soft Comput., 2004

Fuzzy Taxonomic, Quantitative Database and Mining Generalized Association Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Outlier Detecting in Fuzzy Switching Regression Models.
Proceedings of the Artificial Intelligence: Methodology, 2004

Fuzzy system and CMAC network with B-spline membership/basis functions are smooth approximators.
Soft Comput., 2003

Fuzzy System and CMAC Network with B-Spline Membership/Basis Functions can Approximate A Smooth Function and its Derivatives.
International Journal of Computational Intelligence and Applications, 2003

A New Integrated Clustering Algorithm GFC and Switching Regressions.
IJPRAI, 2002