Xizhao Wang

According to our database1, Xizhao Wang
  • authored at least 180 papers between 1997 and 2018.
  • has a "Dijkstra number"2 of four.

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to development of fuzzy decision tree and clustering techniques".

Timeline

Legend:

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In proceedings 
Article 
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Links

On csauthors.net:

Bibliography

2018
Feature Selection Based on Neighborhood Discrimination Index.
IEEE Trans. Neural Netw. Learning Syst., 2018

Face Liveness Detection Using a Flash Against 2D Spoofing Attack.
IEEE Trans. Information Forensics and Security, 2018

Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2018

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.
IEEE Trans. Cybernetics, 2018

Non-iterative approaches in training feed-forward neural networks and their applications.
Soft Comput., 2018

A deep stochastic weight assignment network and its application to chess playing.
J. Parallel Distrib. Comput., 2018

Guest Editorial Special Issue on Integrated Computing: Computational Intelligence Paradigms and Internet of Things for Industrial Applications.
IEEE Internet of Things Journal, 2018

Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking.
Neurocomputing, 2018

A review on neural networks with random weights.
Neurocomputing, 2018

Multi-image matching for object recognition.
IET Computer Vision, 2018

A novel binary artificial bee colony algorithm for the set-union knapsack problem.
Future Generation Comp. Syst., 2018

2017
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.
IEEE Trans. Fuzzy Systems, 2017

Selective ensemble of SVDDs with Renyi entropy based diversity measure.
Pattern Recognition, 2017

Impact of fuzziness categorization on divide and conquer strategy for instance selection.
Journal of Intelligent and Fuzzy Systems, 2017

A ranking-based adaptive artificial bee colony algorithm for global numerical optimization.
Inf. Sci., 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci., 2017

Analysis on fast training speed of extreme learning machine and replacement policy.
IJWMC, 2017

A cost-sensitive semi-supervised learning model based on uncertainty.
Neurocomputing, 2017

Monotonic classification extreme learning machine.
Neurocomputing, 2017

Discrete differential evolutions for the discounted {0-1} knapsack problem.
IJBIC, 2017

Comparison of reduction in formal decision contexts.
Int. J. Approx. Reasoning, 2017

2016
Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes.
Neural Processing Letters, 2016

Granular reducts of formal fuzzy contexts.
Knowl.-Based Syst., 2016

A cross-selection instance algorithm.
Journal of Intelligent and Fuzzy Systems, 2016

Segmenting time series with connected lines under maximum error bound.
Inf. Sci., 2016

Voting-based instance selection from large data sets with MapReduce and random weight networks.
Inf. Sci., 2016

Exact and approximate algorithms for discounted {0-1} knapsack problem.
Inf. Sci., 2016

Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci., 2016

Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2016

An approach to sample selection from big data for classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Deep stochastic weight assignment network of Chinese chess machine game.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

A novel approach for epileptic EEG signals classification based on biclustering technique.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Extreme learning machine based on cross entropy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning.
IEEE Trans. Fuzzy Systems, 2015

Segment Based Decision Tree Induction With Continuous Valued Attributes.
IEEE Trans. Cybernetics, 2015

Performance improvement of classifier fusion for batch samples based on upper integral.
Neural Networks, 2015

Fuzziness based sample categorization for classifier performance improvement.
Journal of Intelligent and Fuzzy Systems, 2015

Learning from big data with uncertainty - editorial.
Journal of Intelligent and Fuzzy Systems, 2015

Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine.
Intell. Data Anal., 2015

Editorial: Uncertainty in learning from big data.
Fuzzy Sets and Systems, 2015

OWA operator based link prediction ensemble for social network.
Expert Syst. Appl., 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

The failure analysis of extreme learning machine on big data and the counter measure.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014
Guest editorial: learning from uncertainty and its application to intelligent systems of web information.
World Wide Web, 2014

A New Approach to Classifier Fusion Based on Upper Integral.
IEEE Trans. Cybernetics, 2014

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes.
IEEE Trans. Cybernetics, 2014

Domain ontology graph model and its application in Chinese text classification.
Neural Computing and Applications, 2014

Advances in neural network based learning.
Int. J. Machine Learning & Cybernetics, 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.
Inf. Sci., 2014

A study on residence error of training an extreme learning machine and its application to evolutionary algorithms.
Neurocomputing, 2014

An improved differential evolution and its application to determining feature weights in similarity-based clustering.
Neurocomputing, 2014

A study on relationships between heuristics and optimal cuts in decision tree induction.
Computers & Electrical Engineering, 2014

Ensemble online sequential extreme learning machine for large data set classification.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification of BGP anomalies using decision trees and fuzzy rough sets.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dynamic Ensemble of Rough Set Reducts for Data Classification.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Integrating Local Information-based Link Prediction Algorithms with OWA Operator.
Proceedings of the ICPRAM 2014, 2014

Monotonic Decision Tree for Interval Valued Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Extreme Learning Machine for Interval-Valued Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce.
Proceedings of the Machine Learning and Cybernetics, 2014

An Improved Approach to Ordinal Classification.
Proceedings of the Machine Learning and Cybernetics, 2014

Study and Improvement of Ordinal Decision Trees Based on Rank Entropy.
Proceedings of the Machine Learning and Cybernetics, 2014

Regression ensemble with PSO algorithms based fuzzy integral.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A New Method for Knowledge and Information Management Domain Ontology Graph Model.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2013

A Combined Position Evaluation Function in Chinese Chess Computer Game.
Trans. Computational Science, 2013

Nested structure in parameterized rough reduction.
Inf. Sci., 2013

A new and informative active learning approach for support vector machine.
Inf. Sci., 2013

Architecture selection for networks trained with extreme learning machine using localized generalization error model.
Neurocomputing, 2013

Greetings from the General Chairs.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

An improved differential evolution and its application to determining feature weights in similarity based clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction.
IEEE Trans. Knowl. Data Eng., 2012

Dynamic ensemble extreme learning machine based on sample entropy.
Soft Comput., 2012

Editorial.
Soft Comput., 2012

A study on random weights between input and hidden layers in extreme learning machine.
Soft Comput., 2012

Local similarity and diversity preserving discriminant projection for face and handwriting digits recognition.
Neurocomputing, 2012

Optimal bandwidth selection for re-substitution entropy estimation.
Applied Mathematics and Computation, 2012

A total error rate multi-class classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Instance selection based on sample entropy for efficient data classification with ELM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A Rank Reduced Matrix Method in Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Naive Bayesian Classifier Based on Neighborhood Probability.
Proceedings of the Advances in Computational Intelligence, 2012

Improving kernel incapability by equivalent probability in flexible naïve Bayesian.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Recent advances on machine learning and Cybernetics.
Soft Comput., 2011

Particle swarm optimization for determining fuzzy measures from data.
Inf. Sci., 2011

Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique.
Neurocomputing, 2011

Upper integral network with extreme learning mechanism.
Neurocomputing, 2011

Rough set model and its eight extensions.
Proceedings of the IEEE International Conference on Systems, 2011

A comparative experimental study of feature-weight learning approaches.
Proceedings of the IEEE International Conference on Systems, 2011

A modified AdaBoost method for one-class SVM and its application to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2011

Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

A comparative study among different kernel functions in flexible naïve Bayesian classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach.
IEEE Trans. Knowl. Data Eng., 2010

International journal of machine learning and cybernetics.
Int. J. Machine Learning & Cybernetics, 2010

FRSVMs: Fuzzy rough set based support vector machines.
Fuzzy Sets and Systems, 2010

Side effect of cut in decision tree generation for continuous attributes.
Proceedings of the IEEE International Conference on Systems, 2010

A survey on active learning strategy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Discretization of continuous-valued attributes in decision tree generation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A new approach to improving generalization ability of feed-foward neural networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy.
IEEE Trans. Fuzzy Systems, 2009

Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM.
Proceedings of the IEEE International Conference on Systems, 2009

An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction.
Proceedings of the IEEE International Conference on Systems, 2009

A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions.
Proceedings of the Rough Sets, 2009

An Improved Cluster Oriented Fuzzy Decision Trees.
Proceedings of the Rough Sets, 2009

2008
Hybridization of Fuzzy and Rough Sets: Present and Future.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Attributes Reduction Using Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2008

Feature selection using localized generalization error for supervised classification problems using RBFNN.
Pattern Recognition, 2008

Preface: Recent advances in granular computing.
Inf. Sci., 2008

Induction of multiple fuzzy decision trees based on rough set technique.
Inf. Sci., 2008

Editorial.
IJPRAI, 2008

Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description.
IJPRAI, 2008

A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis.
Neurocomputing, 2008

A model of finite-step random walk with absorbent boundaries.
Int. J. Comput. Math., 2008

Application of kernel learning vector quantization to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2008

Optimization of combined kernel function for SVM based on large margin learning theory.
Proceedings of the IEEE International Conference on Systems, 2008

Parametric tuning of rule-based systems by maximum fuzzy entropy.
Proceedings of the IEEE International Conference on Systems, 2008

2007
Covariance-Matrix Modeling and Detecting Various Flooding Attacks.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2007

Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.
IEEE Trans. Neural Networks, 2007

A Nonlinear Integral Defined on Partition and its Application to Decision Trees.
Soft Comput., 2007

Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.
Soft Comput., 2007

Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang.
Soft Comput., 2007

An On-Line Multi-CBR Agent Dispatching Algorithm.
Soft Comput., 2007

An On-line Multi-CBR Agent Dispatching Algorithm.
Soft Comput., 2007

Network intrusion detection in covariance feature space.
Pattern Recognition, 2007

Structured large margin machines: sensitive to data distributions.
Machine Learning, 2007

Learning fuzzy rules from fuzzy samples based on rough set technique.
Inf. Sci., 2007

Internet Anomaly Detection Based on Statistical Covariance Matrix.
IJPRAI, 2007

Training T-S norm neural networks to refine weights for fuzzy if-then rules.
Neurocomputing, 2007

On linear separability of data sets in feature space.
Neurocomputing, 2007

A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses.
Proceedings of the IEEE International Conference on Systems, 2007

Solving SVM inverse problems based on clustering.
Proceedings of the IEEE International Conference on Systems, 2007

Heuristic improvement for active learning using localized generalization error as selection criterion.
Proceedings of the IEEE International Conference on Systems, 2007

Attribute Reduction Based on Fuzzy Rough Sets.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

2006
Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing.
Soft Comput., 2006

A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction.
Proceedings of the IEEE International Conference on Systems, 2006

Induction of Multi-stage decision tree.
Proceedings of the IEEE International Conference on Systems, 2006

A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
On the generalization of fuzzy rough sets.
IEEE Trans. Fuzzy Systems, 2005

An Approach To Case-Based Maintenance: Selecting Representative Cases.
IJPRAI, 2005

A genetic algorithm for solving the inverse problem of support vector machines.
Neurocomputing, 2005

Multilevel weighted fuzzy reasoning with interaction.
Proceedings of the IEEE International Conference on Systems, 2005

A feature space analysis for anomaly detection.
Proceedings of the IEEE International Conference on Systems, 2005

Organizing Large Case Library by Linear Programming.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Using Special Structured Fuzzy Measure to Represent Interaction Among IF-THEN Rules.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Reduction of Attributes in Ordinal Decision Systems.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Covariance Matrix Based Approach to Internet Anomaly Detection.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

The Infinite Polynomial Kernel for Support Vector Machine.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Handling interaction in fuzzy production rule reasoning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Improving fuzzy c-means clustering based on feature-weight learning.
Pattern Recognition Letters, 2004

A study on generalization capability of weighted fuzzy production rules with maximum entropy.
Proceedings of the IEEE International Conference on Systems, 2004

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
OFFSS: optimal fuzzy-valued feature subset selection.
IEEE Trans. Fuzzy Systems, 2003

A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems.
Soft Comput., 2003

Sequences of (S) fuzzy integrable functions.
Fuzzy Sets and Systems, 2003

Core and reduction from mutual relation view and their fuzzy generalization.
Proceedings of the IEEE International Conference on Systems, 2003

Selecting representative cases by generalization capability.
Proceedings of the IEEE International Conference on Systems, 2003

Monotonic decision tree for ordinal classification.
Proceedings of the IEEE International Conference on Systems, 2003

Selection of Parameters in Building Fuzzy Decision Trees.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Improving Performance of Similarity-Based Clustering by Feature Weight Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001
A comparative study on heuristic algorithms for generating fuzzy decision trees.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm.
International Journal of Computational Intelligence and Applications, 2001

Iteration algorithms for solving a system of fuzzy linear equations.
Fuzzy Sets and Systems, 2001

A new approach to fuzzy rule generation: fuzzy extension matrix.
Fuzzy Sets and Systems, 2001

Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance.
Computational Intelligence, 2001

Using neural network classifier in post-processing system for handwritten Chinese character recognition.
Proceedings of the IEEE International Conference on Systems, 2001

Learning weights of fuzzy production rules by a max-min neural network.
Proceedings of the IEEE International Conference on Systems, 2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

A Fuzzy-Rough Approach for Case Base Maintenance.
Proceedings of the Case-Based Reasoning Research and Development, 2001

2000
Improving learning accuracy of fuzzy decision trees by hybrid neural networks.
IEEE Trans. Fuzzy Systems, 2000

On the optimization of fuzzy decision trees.
Fuzzy Sets and Systems, 2000

Using a neuro-fuzzy technique to improve the clustering based on similarity.
Proceedings of the IEEE International Conference on Systems, 2000

Using fuzzy integral to modeling case based reasoning with feature interaction.
Proceedings of the IEEE International Conference on Systems, 2000

Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999
Learning optimization in simplifying fuzzy rules.
Fuzzy Sets and Systems, 1999

1998
Note on maxmin μ/E estimation.
Fuzzy Sets and Systems, 1998

On the handling of fuzziness for continuous-valued attributes in decision tree generation.
Fuzzy Sets and Systems, 1998

Fundamental convergence of sequences of measurable functions on fuzzy measure space.
Fuzzy Sets and Systems, 1998

1997
Some notes on the regularity of fuzzy measures on metric spaces.
Fuzzy Sets and Systems, 1997

Notes on Riesz's theorem on fuzzy measure space.
Fuzzy Sets and Systems, 1997


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