Yuhua Qian

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Multiple kernel clustering with local kernel reconstruction and global heat diffusion.
Inf. Fusion, May, 2024

Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery.
IEEE Trans. Fuzzy Syst., March, 2024

Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection.
Inf. Sci., February, 2024

Semi-supervised feature selection based on fuzzy related family.
Inf. Sci., January, 2024

Deep Embedding Clustering Driven by Sample Stability.
CoRR, 2024

2023
Incremental Learning for Simultaneous Augmentation of Feature and Class.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion.
Inf. Fusion, December, 2023

Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets.
IEEE Trans. Fuzzy Syst., November, 2023

Ensemble selector mixed with pareto optimality to feature reduction.
Appl. Soft Comput., November, 2023

Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation.
IEEE Trans. Fuzzy Syst., October, 2023

Gift: granularity over specific-class for feature selection.
Artif. Intell. Rev., October, 2023

A unified feature-spatial cycle consistency fusion framework for robust image matching.
Inf. Fusion, September, 2023

An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images.
Remote. Sens., August, 2023

Local Feature Selection for Large-Scale Data Sets With Limited Labels.
IEEE Trans. Knowl. Data Eng., July, 2023

Neighborhood Information-Based Method for Multivariate Association Mining.
IEEE Trans. Knowl. Data Eng., June, 2023

Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning.
IEEE Trans. Fuzzy Syst., June, 2023

A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets.
IEEE Trans. Big Data, June, 2023

An efficient feature selection algorithm based on the description vector and hypergraph.
Inf. Sci., June, 2023

A novel multi-label feature selection method with association rules and rough set.
Inf. Sci., May, 2023

How to describe the spatial near-far relations among concepts?
Int. J. Approx. Reason., May, 2023

A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction.
Inf. Sci., April, 2023

Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures.
IEEE Trans. Fuzzy Syst., March, 2023

Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity.
IEEE Trans. Fuzzy Syst., 2023

AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech.
IEEE Signal Process. Lett., 2023

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Adaptive Propagation Network Based on Multi-scale Information Fusion.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation.
IEEE Trans. Veh. Technol., 2022

Locality-Constrained Discriminative Matrix Regression for Robust Face Identification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Incremental Feature Spaces Learning with Label Scarcity.
ACM Trans. Knowl. Discov. Data, 2022

Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion.
IEEE Trans. Fuzzy Syst., 2022

A Regret-Based Three-Way Decision Model Under Interval Type-2 Fuzzy Environment.
IEEE Trans. Fuzzy Syst., 2022

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
IEEE Trans. Fuzzy Syst., 2022

Noise-Tolerant Fuzzy-$\beta$-Covering-Based Multigranulation Rough Sets and Feature Subset Selection.
IEEE Trans. Fuzzy Syst., 2022

Active and Semi-Supervised Graph Neural Networks for Graph Classification.
IEEE Trans. Big Data, 2022

A Linear Differentiator Based on the Extended Dynamics Approach.
IEEE Trans. Autom. Control., 2022

Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AF: An Association-Based Fusion Method for Multi-Modal Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Clustering mixed type data: a space structure-based approach.
Int. J. Mach. Learn. Cybern., 2022

Multi-granulation Multi-scale Relation Network for Abstract Reasoning.
Int. J. Mach. Learn. Cybern., 2022

Label enhancement-based feature selection via fuzzy neighborhood discrimination index.
Knowl. Based Syst., 2022

The recognition of kernel research team.
J. Informetrics, 2022

Uncertainty instructed multi-granularity decision for large-scale hierarchical classification.
Inf. Sci., 2022

Fusing attribute reduction accelerators.
Inf. Sci., 2022

Attribute-scale selection for hybrid data with test cost constraint: The approach and uncertainty measures.
Int. J. Intell. Syst., 2022

Corrigendum to "GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy" [Int. J. Approx. Reason. 143 (2022) 78-101].
Int. J. Approx. Reason., 2022

GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy.
Int. J. Approx. Reason., 2022

2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints.
CoRR, 2022

Linear Array Network for Low-light Image Enhancement.
CoRR, 2022

2021
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.
IEEE Trans. Fuzzy Syst., 2021

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition.
IEEE Trans. Evol. Comput., 2021

Pairwise Relations Oriented Discriminative Regression.
IEEE Trans. Circuits Syst. Video Technol., 2021

Image deep clustering based on local-topology embedding.
Pattern Recognit. Lett., 2021

Correction to: Path-based estimation for link prediction.
Int. J. Mach. Learn. Cybern., 2021

Path-based estimation for link prediction.
Int. J. Mach. Learn. Cybern., 2021

Logic could be learned from images.
Int. J. Mach. Learn. Cybern., 2021

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective.
J. Mach. Learn. Res., 2021

Learning the number of filters in convolutional neural networks.
Int. J. Bio Inspired Comput., 2021

BIC-based node order learning for improving Bayesian network structure learning.
Frontiers Comput. Sci., 2021

Progressive residual learning for single image dehazing.
CoRR, 2021

Accelerator for crosswise computing reduct.
Appl. Soft Comput., 2021

Data-guided multi-granularity selector for attribute reduction.
Appl. Intell., 2021

GoT: a Growing Tree Model for Clustering Ensemble.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model.
IEEE Trans. Multim., 2020

Latent Complete Row Space Recovery for Multi-View Subspace Clustering.
IEEE Trans. Image Process., 2020

Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation.
IEEE Trans. Fuzzy Syst., 2020

Fuzzy Rough Attribute Reduction for Categorical Data.
IEEE Trans. Fuzzy Syst., 2020

Fusing Fuzzy Monotonic Decision Trees.
IEEE Trans. Fuzzy Syst., 2020

Unsupervised feature selection with adaptive multiple graph learning.
Pattern Recognit., 2020

3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator.
Pattern Recognit., 2020

Learning with mitigating random consistency from the accuracy measure.
Mach. Learn., 2020

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.
Knowl. Based Syst., 2020

Quickly calculating reduct: An attribute relationship based approach.
Knowl. Based Syst., 2020

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach.
J. Intell. Fuzzy Syst., 2020

Multiscale fusion and aggregation PCNN for 3D shape recovery.
Inf. Sci., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.
Inf. Sci., 2020

Attribute group for attribute reduction.
Inf. Sci., 2020

Dependence space models to construct concept lattices.
Int. J. Approx. Reason., 2020

Accelerator for supervised neighborhood based attribute reduction.
Int. J. Approx. Reason., 2020

Extreme Low-Light Imaging with Multi-granulation Cooperative Networks.
CoRR, 2020

A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers.
Concurr. Comput. Pract. Exp., 2020

2019
Adaptive Local Low-rank Matrix Approximation for Recommendation.
ACM Trans. Inf. Syst., 2019

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection.
IEEE Trans. Fuzzy Syst., 2019

Feature-granularity selection with variable costs for hybrid data.
Soft Comput., 2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.
Knowl. Based Syst., 2019

Accelerator for multi-granularity attribute reduction.
Knowl. Based Syst., 2019

Part-based visual tracking via structural support correlation filter.
J. Vis. Commun. Image Represent., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.
Inf. Sci., 2019

An efficient selector for multi-granularity attribute reduction.
Inf. Sci., 2019

Sign fusion of multiple QPNs based on qualitative mutual information.
Int. J. Comput. Sci. Eng., 2019

Pseudo-label neighborhood rough set: Measures and attribute reductions.
Int. J. Approx. Reason., 2019

Object-oriented interval-set concept lattices.
Int. J. Approx. Reason., 2019

Diversity-induced fuzzy clustering.
Int. J. Approx. Reason., 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.
Appl. Intell., 2019

Clustering ensemble based on sample's stability.
Artif. Intell., 2019

Prototype Propagation Clustering Based on Large Margin.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Mining Logic Patterns from Visual Data.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Feature Selection Based on Neighborhood Discrimination Index.
IEEE Trans. Neural Networks Learn. Syst., 2018

An Algorithm for Clustering Categorical Data With Set-Valued Features.
IEEE Trans. Neural Networks Learn. Syst., 2018

Cluster's Quality Evaluation and Selective Clustering Ensemble.
ACM Trans. Knowl. Discov. Data, 2018

Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2018

Multi-level preference regression for cold-start recommendations.
Int. J. Mach. Learn. Cybern., 2018

Local neighborhood rough set.
Knowl. Based Syst., 2018

Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs.
Knowl. Based Syst., 2018

Assessment model for perceived visual complexity of painting images.
Knowl. Based Syst., 2018

一种多强度攻击下的对抗逃避攻击集成学习算法 (Ensemble Method Against Evasion Attack with Different Strength of Attack).
计算机科学, 2018

Identifying advisor-advisee relationships from co-author networks via a novel deep model.
Inf. Sci., 2018

A quantitative approach to reasoning about incomplete knowledge.
Inf. Sci., 2018

Local rough set: A solution to rough data analysis in big data.
Int. J. Approx. Reason., 2018

A cautious ranking methodology with its application for stock screening.
Appl. Soft Comput., 2018

2017
Fusing Complete Monotonic Decision Trees.
IEEE Trans. Knowl. Data Eng., 2017

A Fitting Model for Feature Selection With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2017

Multigranulation fuzzy rough set over two universes and its application to decision making.
Knowl. Based Syst., 2017

A multi-view OVA model based on decision tree for multi-classification tasks.
Knowl. Based Syst., 2017

WSN中基于多径距离和神经网络的节点定位 (Node Localization Based on Multipath Distance and Neural Network in WSN).
计算机科学, 2017

多粒度决策粗糙集中的粒度约简方法 (Granular Structure Reduction Approach to Multigranulation Decision-theoretic Rough Sets).
计算机科学, 2017

On rule acquisition in incomplete multi-scale decision tables.
Inf. Sci., 2017

Grouping granular structures in human granulation intelligence.
Inf. Sci., 2017

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.
Inf. Sci., 2017

Three-way cognitive concept learning via multi-granularity.
Inf. Sci., 2017

A multiple-valued logic approach for multigranulation rough set model.
Int. J. Approx. Reason., 2017

Local multigranulation decision-theoretic rough sets.
Int. J. Approx. Reason., 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Space Structure and Clustering of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.
IEEE Trans. Knowl. Data Eng., 2016

Feature subset selection based on fuzzy neighborhood rough sets.
Knowl. Based Syst., 2016

Decision-theoretic rough sets under dynamic granulation.
Knowl. Based Syst., 2016

Comparison study of orthonormal representations of functional data in classification.
Knowl. Based Syst., 2016

A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems.
Knowl. Based Syst., 2016

A comparative study of multigranulation rough sets and concept lattices via rule acquisition.
Knowl. Based Syst., 2016

符号数据的无监督学习: 一种空间变换方法 (Unsupervised Learning from Categorical Data: A Space Transformation Approach).
计算机科学, 2016

2015
Fusing Monotonic Decision Trees.
IEEE Trans. Knowl. Data Eng., 2015

Fuzzy Granular Structure Distance.
IEEE Trans. Fuzzy Syst., 2015

Determining decision makers' weights in group ranking: a granular computing method.
Int. J. Mach. Learn. Cybern., 2015

一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints).
计算机科学, 2015

An information fusion approach by combining multigranulation rough sets and evidence theory.
Inf. Sci., 2015

Concept learning via granular computing: A cognitive viewpoint.
Inf. Sci., 2015

A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Uncertainty Measures for Multigranulation Approximation Space.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Fuzzy-rough feature selection accelerator.
Fuzzy Sets Syst., 2015

Cognitive concept learning via granular computing for big data.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Experimental Design with Multiple Kernels.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
A Group Incremental Approach to Feature Selection Applying Rough Set Technique.
IEEE Trans. Knowl. Data Eng., 2014

A rule-extraction framework under multigranulation rough sets.
Int. J. Mach. Learn. Cybern., 2014

Topological approach to multigranulation rough sets.
Int. J. Mach. Learn. Cybern., 2014

QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity.
Knowl. Based Syst., 2014

Pessimistic rough set based decisions: A multigranulation fusion strategy.
Inf. Sci., 2014

Multigranulation decision-theoretic rough sets.
Int. J. Approx. Reason., 2014

Set-based granular computing: A lattice model.
Int. J. Approx. Reason., 2014

Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making.
Fundam. Informaticae, 2014

2013
Consistency-preserving attribute reduction in fuzzy rough set framework.
Int. J. Mach. Learn. Cybern., 2013

Attribute reduction: A dimension incremental strategy.
Knowl. Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Inf. Sci., 2013

Multigranulation rough sets: From partition to covering.
Inf. Sci., 2013

Decision-relative discernibility matrices in the sense of entropies.
Int. J. Gen. Syst., 2013

On Characterizing Hierarchies of Granulation Structures via Distances.
Fundam. Informaticae, 2013

2012
A two-grade approach to ranking interval data.
Knowl. Based Syst., 2012

Evaluation of the decision performance of the decision rule set from an ordered decision table.
Knowl. Based Syst., 2012

Distance: A more comprehensible perspective for measures in rough set theory.
Knowl. Based Syst., 2012

Hierarchical Structures on Multigranulation Spaces.
J. Comput. Sci. Technol., 2012

A comparative study of rough sets for hybrid data.
Inf. Sci., 2012

NMGRS: Neighborhood-based multigranulation rough sets.
Int. J. Approx. Reason., 2012

An efficient rough feature selection algorithm with a multi-granulation view.
Int. J. Approx. Reason., 2012

Partial ordering of information granulations: a further investigation.
Expert Syst. J. Knowl. Eng., 2012

Information Granularity and Granular Structure in Decision Making.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Information Granularity in Fuzzy Binary GrC Model.
IEEE Trans. Fuzzy Syst., 2011

An efficient accelerator for attribute reduction from incomplete data in rough set framework.
Pattern Recognit., 2011

Test-cost-sensitive attribute reduction.
Inf. Sci., 2011

How to organize data with measurement errors?
Proceedings of the IEEE International Conference on Systems, 2011

An Efficient Fuzzy-Rough Attribute Reduction Approach.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Closed-Label Concept Lattice Based Rule Extraction Approach.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Incomplete Multigranulation Rough Set.
IEEE Trans. Syst. Man Cybern. Part A, 2010

Approximation reduction in inconsistent incomplete decision tables.
Knowl. Based Syst., 2010

MGRS: A multi-granulation rough set.
Inf. Sci., 2010

Comparative study of decision performance of decision tables induced by attribute reductions.
Int. J. Gen. Syst., 2010

Positive approximation: An accelerator for attribute reduction in rough set theory.
Artif. Intell., 2010

A heuristic method to attribute reduction for concept lattice.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

On Partial Order Relations in Granular Computing.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Set-valued ordered information systems.
Inf. Sci., 2009

A new measure of uncertainty based on knowledge granulation for rough sets.
Inf. Sci., 2009

A New Method for Measuring the Uncertainty in Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

Knowledge structure, knowledge granulation and knowledge distance in a knowledge base.
Int. J. Approx. Reason., 2009

A Time-Reduction Strategy to Feature Selection in Rough Set Theory.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Measures for evaluating the decision performance of a decision table in rough set theory.
Inf. Sci., 2008

Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Combination Entropy and Combination Granulation in Rough Set Theory.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Consistency measure, inclusion degree and fuzzy measure in decision tables.
Fuzzy Sets Syst., 2008

On the evaluation of the decision performance of an incomplete decision table.
Data Knowl. Eng., 2008

Interval ordered information systems.
Comput. Math. Appl., 2008

Converse approximation and rule extraction from decision tables in rough set theory.
Comput. Math. Appl., 2008

Information granules and entropy theory in information systems.
Sci. China Ser. F Inf. Sci., 2008

Consistency and Fuzziness in Ordered Decision Tables.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007
Evaluation Method for Decision Rule Sets.
Proceedings of the Rough Sets, 2007

MGRS in Incomplete Information Systems.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006
Combination Entropy and Combination Granulation in Incomplete Information System.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Axiomatic Approach of Knowledge Granulation in Information System.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Rough Set Approximation Based on Dynamic Granulation.
Proceedings of the Rough Sets, 2005


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