Wenhao Shu

According to our database1, Wenhao Shu authored at least 58 papers between 1988 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Incremental feature selection based on uncertainty measure for dynamic interval-valued data.
Int. J. Mach. Learn. Cybern., April, 2024

A composite entropy-based uncertainty measure guided attribute reduction for imbalanced mixed-type data.
J. Intell. Fuzzy Syst., March, 2024

Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data.
Neurocomputing, January, 2024

2023
Multi-label feature selection based on rough granular-ball and label distribution.
Inf. Sci., December, 2023

A survey on multi-label feature selection from perspectives of label fusion.
Inf. Fusion, December, 2023

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball.
Appl. Intell., October, 2023

Disambiguation-based partial label feature selection via feature dependency and label consistency.
Inf. Fusion, June, 2023

Information gain-based semi-supervised feature selection for hybrid data.
Appl. Intell., March, 2023

Partial multi-label learning via three-way decision-based tri-training.
Knowl. Based Syst., 2023

A multi-measure feature selection method for decision systems with preference relation.
J. Intell. Fuzzy Syst., 2023

Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach.
Int. J. Approx. Reason., 2023

2022
Feature selection for label distribution learning via feature similarity and label correlation.
Inf. Sci., 2022

Information granularity-based incremental feature selection for partially labeled hybrid data.
Intell. Data Anal., 2022

Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set.
Appl. Intell., 2022

2021
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement.
Appl. Intell., 2021

2020
Incremental feature selection for dynamic hybrid data using neighborhood rough set.
Knowl. Based Syst., 2020

Mutual information-based label distribution feature selection for multi-label learning.
Knowl. Based Syst., 2020

Parametric modeling and performance analysis of a personalized insole based on 3D scanning and selective laser sintering.
Int. J. Comput. Integr. Manuf., 2020

2019
Incremental approaches for feature selection from dynamic data with the variation of multiple objects.
Knowl. Based Syst., 2019

An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019

Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values.
IEEE Access, 2019

2018
An efficient approximation algorithm for the extension facility location problem on torus internetwork topology.
Int. J. Comput. Sci. Math., 2018

Attribute reduction in incomplete ordered information systems with fuzzy decision.
Appl. Soft Comput., 2018

Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

A Three-Way Decisions Approach for Computing Approximations in Continuous Data.
Proceedings of the Fuzzy Systems and Data Mining IV, 2018

2017
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Approximate optimization for facility location on two-dimensional internetwork topology.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Multi-criteria feature selection on cost-sensitive data with missing values.
Pattern Recognit., 2016

Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System.
J. Inf. Sci. Eng., 2016

Improving matrix approximation for recommendation via a clustering-based reconstructive method.
Neurocomputing, 2016

2015
Next-song recommendation with temporal dynamics.
Knowl. Based Syst., 2015

Feature Selection using Compact Discernibility Matrix-based Approach in Dynamic Incomplete Decision System.
J. Inf. Sci. Eng., 2015

Mutual information criterion for feature selection from incomplete data.
Neurocomputing, 2015

An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory.
Data Knowl. Eng., 2015

Cost-Sensitive Feature Selection on Heterogeneous Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Incremental feature selection based on rough set in dynamic incomplete data.
Pattern Recognit., 2014

A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems.
Knowl. Based Syst., 2014

Updating attribute reduction in incomplete decision systems with the variation of attribute set.
Int. J. Approx. Reason., 2014

A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Mutual Information-Based Feature Selection from Set-Valued Data.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
A Fast Algorithm for Facility Location Problem.
J. Softw., 2013

A rough-set based incremental approach for updating attribute reduction under dynamic incomplete decision systems.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Incremental Attribute Reduction in Incomplete Decision Systems.
Proceedings of the Fifth International Symposium on Parallel Architectures, 2012

2010
A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers.
Expert Syst. Appl., 2010

2009
New Algorithm for Computing the Core Based on Information Entropy.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

Efficient Algorithm for Attribute Reduction of Incomplete Information Systems Based on Assignment Matrix.
Proceedings of the Fuzzy Information and Engineering, 2009

2005
A multiple classifier approach to detect Chinese character recognition errors.
Pattern Recognit., 2005

2004
Feature Selection For Chinese Character Recognition Based On Inductive Learning.
Int. J. Pattern Recognit. Artif. Intell., 2004

2003
An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters.
Int. J. Pattern Recognit. Artif. Intell., 2003

2001
Determination of Context Window Size.
Int. J. Comput. Process. Orient. Lang., 2001

2000
An extension matrix approach to Chinese character recognition.
Proceedings of the IEEE International Conference on Systems, 2000

Detection of Language (Model) Errors.
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000

1998
Feature selection for handwritten Chinese character recognition based on genetic algorithms.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1996
Traverse Features and Structural Features in Handwritten Chinese Character Recognition.
Proceedings of the Multimedia Technology and Applications, 1996

1988
A Prototype of Multi-Font Printed Chinese Character Reader.
Proceedings of IAPR Workshop on Computer Vision, 1988

An accurate method for recognition of printed Chinese characters.
Proceedings of the 9th International Conference on Pattern Recognition, 1988


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