Jianhua Dai
Orcid: 0000-0003-1459-0833Affiliations:
- Hunan Normal University, Changsha, Hunan, China
According to our database1,
Jianhua Dai authored at least 180 papers
between 2005 and 2026.
Collaborative distances:
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Bibliography
2026
Multi-Label Feature Selection by Maximum Affinity-Relevance, Maximum Affinity-Interaction and Minimum Affinity-Redundancy.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026
Online Multilabel Streaming Feature Selection Based on Agglomeration Degree and Local-Global Correlation.
IEEE Trans. Artif. Intell., April, 2026
Noise-Resistant Commonality and Individuality Label Learning for Multiview Multilabel Feature Selection Using Fuzzy Mutual Information.
IEEE Trans. Cybern., March, 2026
Online Multilabel Streaming Feature Selection With Missing Features by Dual-Space Consistency Information Measurement.
IEEE Trans. Artif. Intell., February, 2026
Pairwise joint symmetric uncertainty based on macro-neighborhood entropy for heterogeneous feature selection.
Pattern Recognit., 2026
Partial multi-label learning with discriminative feature subspace and dynamic label correlation.
Pattern Recognit., 2026
Online multi-label streaming feature selection by affinity significance, affinity relevance and affinity redundancy.
Pattern Recognit., 2026
Online multi-label streaming feature selection by label semantic categorization considering label structure unevenness and local label interaction.
Eur. J. Oper. Res., 2026
2025
Global-Guided Label-Aware Adaptive Multilabel Feature Selection via Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst., December, 2025
Fuzzy Information Quantity Measurement and Feature Selection by Macrogranular Entropy.
IEEE Trans. Artif. Intell., December, 2025
Latent Semantics and Anchor Graph Multi-Layer Learning for Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2025
Instance-Dependent Incomplete Multi-Label Feature Selection by Fuzzy Tolerance Relation and Fuzzy Mutual Implication Granularity.
IEEE Trans. Knowl. Data Eng., October, 2025
Incomplete Multilabel Feature Selection via Dynamic Dual-Graph Optimization and Fuzzy Feature Interaction.
IEEE Trans. Fuzzy Syst., October, 2025
Unified Feature Selection Approach for Complex Data Based on Fuzzy β-Covering Reduction via Information Granulation.
IEEE Trans. Neural Networks Learn. Syst., September, 2025
Noise-Tolerant Multilabel Feature Selection Based on Sample Reliability Degree and Fuzzy Association Confidence.
IEEE Trans. Fuzzy Syst., August, 2025
Fuzzy granularity entropy-based incremental attribute reduction for dynamic incomplete real-valued decision systems.
Appl. Intell., August, 2025
Online Multilabel Streaming Feature Selection by Label Enhancement and Fuzzy Synergistic Discrimination Information.
IEEE Trans. Fuzzy Syst., July, 2025
Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network.
Neural Comput. Appl., July, 2025
Online Streaming Feature Selection Using Bidirectional Complementarity Based on Fuzzy Gini Entropy.
IEEE Trans. Fuzzy Syst., May, 2025
Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery.
IEEE Trans. Knowl. Data Eng., April, 2025
Label-Specific Multilabel Feature Selection Based on Fuzzy Implication Granularity Information.
IEEE Trans. Fuzzy Syst., March, 2025
Attribute selection for incomplete decision systems by maximizing correlation and independence with mutual granularity.
Appl. Intell., February, 2025
Linear Complexity Multi-View Unsupervised Feature Selection via Anchor-Based Feature Relationship Construction.
IEEE Trans. Image Process., 2025
Multi-label feature selection with missing features by tolerance implication granularity information and symmetric coupled discriminant weight.
Pattern Recognit., 2025
Augmenting interaction effects in convolutional networks with taylor polynomial gated units.
Neural Networks, 2025
Incremental attribute reduction for dynamic fuzzy decision information systems based on fuzzy knowledge granularity.
Inf. Sci., 2025
An adaptive confidence-based data revision framework for Document-level Relation Extraction.
Inf. Process. Manag., 2025
Multi-label feature selection with missing labels by weak-label fusion fuzzy discernibility pair.
Inf. Fusion, 2025
Fuzzy rough feature selection via stripped decision β-neighborhood set and misclassification ratio.
Fuzzy Sets Syst., 2025
Fuzzy Sets Syst., 2025
A deep knowledge tracing model based on cognitive assimilation and item response theory with better interpretability.
Appl. Soft Comput., 2025
2024
Modified Noise-Immune Fuzzy Neural Network for Solving the Quadratic Programming With Equality Constraint Problem.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
A Double Integral Noise-Tolerant Fuzzy ZNN Model for TVSME Applied to the Synchronization of Chua's Circuit Chaotic System.
IEEE Trans. Fuzzy Syst., November, 2024
IEEE Trans. Cybern., November, 2024
Multilabel Feature Selection Based on Fuzzy Mutual Information and Orthogonal Regression.
IEEE Trans. Fuzzy Syst., September, 2024
GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model.
IEEE Trans. Fuzzy Syst., September, 2024
A Novel Zeroing Neurodynamic Method Based on Discrete Fuzzy Control System: Design, Analysis, and Verification.
IEEE Trans. Fuzzy Syst., August, 2024
Attribute Reduction Based on Fuzzy Distinguishable Pair Metric Considering Redundancy Upper and Lower Bounds.
IEEE Trans. Fuzzy Syst., August, 2024
Novel multi-label feature selection via label enhancement and relative maximal discernibility pairs.
Int. J. Mach. Learn. Cybern., August, 2024
Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
IEEE Trans. Fuzzy Syst., June, 2024
Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables.
Int. J. Mach. Learn. Cybern., March, 2024
Sequence tagging with a rethinking structure for joint entity and relation extraction.
Int. J. Mach. Learn. Cybern., February, 2024
Pattern Recognit., January, 2024
Feature selection based on fuzzy combination entropy considering global and local feature correlation.
Inf. Sci., January, 2024
Document-level denoising relation extraction with false-negative mining and reinforced positive-class knowledge distillation.
Inf. Process. Manag., January, 2024
IEEE Trans. Multim., 2024
BDCore: Bidirectional Decoding with Co-graph Representation for Joint Entity and Relation Extraction.
Knowl. Based Syst., 2024
Image Vis. Comput., 2024
A novel multi-label feature selection method based on knowledge consistency-independence index.
Inf. Sci., 2024
Attribute reduction based on intuitionistic fuzzy dominance mutual information in intuitionistic fuzzy information systems.
Inf. Sci., 2024
Multi-fuzzy β-covering fusion based accuracy and self-information for feature subset selection.
Inf. Fusion, 2024
Fusion decision strategies for multiple criterion preferences based on three-way decision.
Inf. Fusion, 2024
Three-phase multi-criteria ranking considering three-way decision framework and criterion fuzzy concept.
Int. J. Approx. Reason., 2024
Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity.
Int. J. Approx. Reason., 2024
Relation guided and attention enhanced multi-head selection for relational facts extraction.
Expert Syst. Appl., 2024
2023
Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach.
IEEE Trans. Fuzzy Syst., December, 2023
Inf. Sci., December, 2023
Semi-supervised attribute reduction based on label distribution and label irrelevance.
Inf. Fusion, December, 2023
A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion.
IEEE Trans. Fuzzy Syst., November, 2023
Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation.
Neurocomputing, November, 2023
Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Inf. Sci., October, 2023
TI-fuzzy neighborhood measures and generalized Choquet integrals for granular structure reduction and decision making.
Fuzzy Sets Syst., August, 2023
An attribute fuzzy concept-oriented three-way utility decision model in multi-attribute environments.
Appl. Soft Comput., August, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location.
IEEE Trans. Ind. Informatics, June, 2023
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Int. J. Mach. Learn. Cybern., April, 2023
IEEE Trans. Fuzzy Syst., March, 2023
Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring.
IEEE Internet Things J., March, 2023
Attribute reduction in inconsistent grey decision systems based on variable precision grey multigranulation rough set model.
Appl. Soft Comput., January, 2023
Document-Level Relation Extraction With Context Guided Mention Integration and Inter-Pair Reasoning.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
<i>K</i>-DGHC: A hierarchical clustering method based on <i>K</i>-dominance granularity.
Inf. Sci., 2023
Interval-valued fuzzy discernibility pair approach for attribute reduction in incomplete interval-valued information systems.
Inf. Sci., 2023
2022
An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation.
Int. J. Intell. Syst., December, 2022
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness.
IEEE Trans. Neural Networks Learn. Syst., 2022
ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation.
IEEE Trans. Ind. Informatics, 2022
Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic Positioning.
IEEE Trans. Ind. Informatics, 2022
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Fuzzy Syst., 2022
The Criterion-Oriented Three-Way Ranking and Clustering Strategies in Fuzzy Decision Environments.
IEEE Trans. Fuzzy Syst., 2022
Application of Two Fuzzy Logic Systems to Complex-Type ZNN Models for the Drazin Inverse of Time-Dependent Complex-Value Matrix.
IEEE Trans. Fuzzy Syst., 2022
Int. J. Mach. Learn. Cybern., 2022
Semi-supervised attribute reduction for interval data based on misclassification cost.
Int. J. Mach. Learn. Cybern., 2022
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations.
Knowl. Based Syst., 2022
Three-way multi-criteria group decision-making method in a fuzzy β-covering group approximation space.
Inf. Sci., 2022
Inf. Sci., 2022
Inf. Sci., 2022
A Fuzzy Decision-Theoretic Rough Set Approach for Type-2 Fuzzy Conditional Information Systems and Its Application in Decision-Making.
Int. J. Fuzzy Syst., 2022
Redefined fuzzy rough set models in fuzzy <i>β</i>-covering group approximation spaces.
Fuzzy Sets Syst., 2022
A survey of circular RNAs in complex diseases: databases, tools and computational methods.
Briefings Bioinform., 2022
2021
New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion.
IEEE Trans. Ind. Informatics, 2021
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2021
Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification.
IEEE Trans. Ind. Informatics, 2021
A Unified Predefined-Time Convergent and Robust ZNN Model for Constrained Quadratic Programming.
IEEE Trans. Ind. Informatics, 2021
Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem.
IEEE Trans. Fuzzy Syst., 2021
A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance.
IEEE Trans. Fuzzy Syst., 2021
A Survey of CRF Algorithm Based Knowledge Extraction of Elementary Mathematics in Chinese.
Mob. Networks Appl., 2021
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations.
J. Comput. Appl. Math., 2021
A new classification and ranking decision method based on three-way decision theory and TOPSIS models.
Inf. Sci., 2021
Inf. Sci., 2021
Inf. Sci., 2021
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci., 2021
Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation.
Inf. Sci., 2021
Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems.
Neurocomputing, 2021
Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems.
Int. J. Fuzzy Syst., 2021
Frontiers Neuroinformatics, 2021
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs.
Briefings Bioinform., 2021
NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
Briefings Bioinform., 2021
A fuzzy α-similarity relation-based attribute reduction approach in incomplete interval-valued information systems.
Appl. Soft Comput., 2021
2020
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2020
A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises.
IEEE Trans. Ind. Informatics, 2020
Design and Analysis of New Zeroing Neural Network Models With Improved Finite-Time Convergence for Time-Varying Reciprocal of Complex Matrix.
IEEE Trans. Ind. Informatics, 2020
Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation.
IEEE Trans. Fuzzy Syst., 2020
Knowledge granularity based incremental attribute reduction for incomplete decision systems.
Int. J. Mach. Learn. Cybern., 2020
Unsupervised attribute reduction based on $$\alpha $$-approximate equal relation in interval-valued information systems.
Int. J. Mach. Learn. Cybern., 2020
Fast feature selection for interval-valued data through kernel density estimation entropy.
Int. J. Mach. Learn. Cybern., 2020
Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system.
Knowl. Based Syst., 2020
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation.
Knowl. Based Syst., 2020
New error function designs for finite-time ZNN models with application to dynamic matrix inversion.
Neurocomputing, 2020
Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances.
Neurocomputing, 2020
Expert Syst. Appl., 2020
Appl. Soft Comput., 2020
Feature selection via normative fuzzy information weight with application into tumor classification.
Appl. Soft Comput., 2020
2019
Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.
IEEE J. Biomed. Health Informatics, 2019
Performance Benefits of Robust Nonlinear Zeroing Neural Network for Finding Accurate Solution of Lyapunov Equation in Presence of Various Noises.
IEEE Trans. Ind. Informatics, 2019
Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward.
IEEE Trans. Cybern., 2019
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs.
Knowl. Based Syst., 2019
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations.
Neurocomputing, 2019
Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations.
IEEE Access, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2018
IEEE Trans. Fuzzy Syst., 2018
Generalized rough set models determined by multiple neighborhoods generated from a similarity relation.
Soft Comput., 2018
New inclusion relation of neutrosophic sets with applications and related lattice structure.
Int. J. Mach. Learn. Cybern., 2018
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Cybern., 2017
Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity.
Knowl. Based Syst., 2017
Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions.
Inf. Sci., 2017
2016
Discrete particle swarm optimization approach for cost sensitive attribute reduction.
Knowl. Based Syst., 2016
Attribute reduction in interval-valued information systems based on information entropies.
Frontiers Inf. Technol. Electron. Eng., 2016
Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making.
J. Intell. Fuzzy Syst., 2016
Neurocomputing, 2016
Neurocomputing, 2016
DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
2015
On the union and intersection operations of rough sets based on various approximation spaces.
Inf. Sci., 2015
2013
IEEE Trans. Cybern., 2013
Attribute selection based on a new conditional entropy for incomplete decision systems.
Knowl. Based Syst., 2013
Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification.
Appl. Soft Comput., 2013
2012
Uncertainty measurement for interval-valued decision systems based on extended conditional entropy.
Knowl. Based Syst., 2012
Inf. Sci., 2012
Conditional entropy for incomplete decision systems and its application in data mining.
Int. J. Gen. Syst., 2012
2010
J. Zhejiang Univ. Sci. C, 2010
J. Digit. Content Technol. its Appl., 2010
J. Convergence Inf. Technol., 2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
Probabilistic neural network based motor cortical decoding method and hardware implementation.
Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, 2010
2008
Analysis of Neuronal Ensembles Encoding Model in Invasive Brain-computer Interface Study using Radial-Basis-Function Networks.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Proceedings of the Rough Sets and Current Trends in Computing, 2006
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006
2005
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005