Jianhua Dai
Orcid: 0000-0003-1459-0833
According to our database1,
Jianhua Dai
authored at least 176 papers
between 2004 and 2024.
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Bibliography
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
CoRR, 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
Promoting effect of adaptive interaction based on random neighbors to cooperation in the spatial prisoner's dilemma game.
Appl. Math. 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
Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods.
Eng. Appl. Artif. Intell., 2023
Positive-Guided Knowledge Distillation for Document-Level Relation Extraction with Noisy Labeled Data.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
2022
An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation.
Int. J. Intell. Syst., December, 2022
Wirel. Commun. Mob. Comput., 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
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022
Int. J. Mach. Learn. Cybern., 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
SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions.
J. Comput. Biol., 2022
Inf. Sci., 2022
Three-way multi-criteria group decision-making method in a fuzzy β-covering group approximation space.
Inf. Sci., 2022
CSDM: A context-sensitive deep matching model for medical dialogue information extraction.
Inf. Sci., 2022
Inf. Sci., 2022
A new three-way multi-criteria decision-making method with fuzzy complementary preference relations based on additive consistency.
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 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
Chinese medical dialogue information extraction via contrastive multi-utterance inference.
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
Concurr. Comput. Pract. Exp., 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
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
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
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
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
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
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
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
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
2014
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014
2013
IEEE Trans. Cybern., 2013
Attribute selection based on a new conditional entropy for incomplete decision systems.
Knowl. Based Syst., 2013
Inf. Sci., 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
Inf. Sci., 2012
Conditional entropy for incomplete decision systems and its application in data mining.
Int. J. Gen. Syst., 2012
2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
2010
J. Zhejiang Univ. Sci. C, 2010
J. Digit. Content Technol. its Appl., 2010
J. Convergence Inf. Technol., 2010
Int. J. Cogn. Informatics Nat. Intell., 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
2009
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
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
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008
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
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
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 Rough Sets, 2005
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005
2004
Proceedings of the Rough Sets and Current Trends in Computing, 2004