Jianhua Dai

According to our database1, Jianhua Dai authored at least 132 papers between 2004 and 2022.

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Bibliography

2022
Knowledge Graph Construction for Intelligent Media Based on Mobile Internet.
Wirel. Commun. Mob. Comput., 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

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022

Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring.
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

A new parallel algorithm for computing formal concepts based on two parallel stages.
Inf. Sci., 2022

Three-way multi-criteria group decision-making method in a fuzzy β-covering group approximation space.
Inf. Sci., 2022

The selection of feasible strategies based on consistency measurement of cliques.
Inf. Sci., 2022

A new three-way multi-criteria decision-making method with fuzzy complementary preference relations based on additive consistency.
Inf. Sci., 2022

Comprehensive fuzzy concept-oriented three-way decision and its application.
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

A novel multi-attribute decision-making method based on neighborhood approximations and its application.
Expert Syst. Appl., 2022

Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning.
CoRR, 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

High-order error function designs to compute time-varying linear matrix equations.
Inf. Sci., 2021

A novel three-way decision approach under hesitant fuzzy information.
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

PyNeval: A Python Toolbox for Evaluating Neuron Reconstruction Performance.
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

A novel approach to predictive analysis using attribute-oriented rough fuzzy sets.
Expert Syst. Appl., 2020

A multimodal deep architecture for traditional Chinese medicine diagnosis.
Concurr. Comput. Pract. Exp., 2020

Multivariable grey prediction evolution algorithm: A new metaheuristic.
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

Label Distribution Data Feature Reduction Based on Fuzzy Rough Set Model.
Aust. J. Intell. Inf. Process. Syst., 2019

Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations.
IEEE Access, 2019

Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory.
Proceedings of the International Joint Conference on Neural Networks, 2019

Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Geometric Mean Metric Learning for Label Distribution Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Joint Dictionary Learning for Unsupervised Feature Selection.
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

Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach.
IEEE Trans. Fuzzy Syst., 2018

Locally Linear Approximation Approach for Incomplete Data.
IEEE Trans. Cybern., 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

Dominance-based fuzzy rough set approach for incomplete interval-valued data.
J. Intell. Fuzzy Syst., 2018

Research on the Influencing Factors of Consumer Participation in Cooperative Consumption in Shared Economy.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Cluster Structure Preserving Based on Dictionary Pair for Unsupervised Feature Selection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Semi-supervised Feature Selection Based on Least Square Regression with Redundancy Minimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Semi-supervised Feature Selection by Mutual Information Based on Kernel Density Estimation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Discernibility Matrix-Based Ensemble Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Feature Selection Based on Fuzzy Conditional Distinction Degree.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Label Distribution Learning Based on Ensemble Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dynamic Maintenance of Decision Rules for Decision Attribute Values' Changing.
Proceedings of the Neural Information Processing - 25th International Conference, 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
Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach.
IEEE Trans. Cybern., 2017

Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity.
Knowl. Based Syst., 2017

Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory.
J. Intell. Fuzzy 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

A classification model for semantic entailment recognition with feature combination.
Neurocomputing, 2016

Event graph based contradiction recognition from big data collection.
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

2014
Uncertainty Measurement for Covering Rough Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

2013
An Uncertainty Measure for Incomplete Decision Tables and Its Applications.
IEEE Trans. Cybern., 2013

Attribute selection based on a new conditional entropy for incomplete decision systems.
Knowl. Based Syst., 2013

Decision rule mining using classification consistency rate.
Knowl. Based Syst., 2013

Uncertainty measurement for interval-valued information systems.
Inf. Sci., 2013

Entropy measures and granularity measures for set-valued information systems.
Inf. Sci., 2013

Rough set approach to incomplete numerical data.
Inf. Sci., 2013

Fuzzy rough set model for set-valued data.
Fuzzy Sets Syst., 2013

Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification.
Appl. Soft Comput., 2013

Computing Preferred Labellings by Exploiting SCCs and Most Sceptically Rejected Arguments.
Proceedings of the Theory and Applications of Formal Argumentation, 2013

2012
Uncertainty measurement for interval-valued decision systems based on extended conditional entropy.
Knowl. Based Syst., 2012

Approximations and uncertainty measures in incomplete information systems.
Inf. Sci., 2012

Conditional entropy for incomplete decision systems and its application in data mining.
Int. J. Gen. Syst., 2012

2011
A Variable Precision Covering Generalized Rough Set Model.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010
A P300 based online brain-computer interface system for virtual hand control.
J. Zhejiang Univ. Sci. C, 2010

Continuous Neural Decoding Method Based on General Regression Neural Network.
J. Digit. Content Technol. its Appl., 2010

Neural spike sorting by rough set method.
J. Digit. Content Technol. its Appl., 2010

A Novel Matched Filter for Neural Action Potential Detection.
J. Convergence Inf. Technol., 2010

Generalized Rough Logics with Rough Algebraic Semantics.
Int. J. Cogn. Informatics Nat. Intell., 2010

Action Potential Classification Based on LVQ Neural Network.
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

2009
Rough 3-Valued Lukasiewicz Agebras and MV-Algebras.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Rough 3-valued Lukasiewicz algebras and BCI-algebras.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Rough 3-valued algebras.
Inf. Sci., 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

Algebraic Method for Granular Computing.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Neuronal Spike Sorting Based on 2-Stage RBF Networks.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

Experimental Study on Neuronal Spike Sorting Methods.
Proceedings of the Second International Conference on Future Generation Communication and Networking, 2008

Economic Analysis and Application Practice of Outsourcing of Human Resources Management.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Study on the Axis Problem of Rough 3-Valued Algebras.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006
Rough Sets and Brouwer-Zadeh Lattices.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2005
Logic for Rough Sets with Rough Double Stone Algebraic Semantics.
Proceedings of the Rough Sets, 2005

Sequent calculus system for rough sets based on rough Stone algebras.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004
Structure of Rough Approximations Based on Molecular Lattices.
Proceedings of the Rough Sets and Current Trends in Computing, 2004


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