Dianhui Wang

Orcid: 0000-0002-5356-7268

According to our database1, Dianhui Wang authored at least 193 papers between 1999 and 2025.

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Bibliography

2025
Robust multi-target regression with improved stochastic configuration networks and its applications.
Inf. Sci., 2025

Evolutionary stochastic configuration networks for industrial data analytics.
Inf. Sci., 2025

2024
Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks.
IEEE Trans. Ind. Informatics, November, 2024

An empirical study on prediction of seismic activity using stochastic configuration networks.
Neural Comput. Appl., November, 2024

An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling.
IEEE Trans. Ind. Informatics, May, 2024

Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration.
IEEE Trans. Artif. Intell., May, 2024

Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis.
IEEE Trans. Ind. Informatics, March, 2024

Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling.
IEEE Trans. Fuzzy Syst., March, 2024

Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks.
Inf. Sci., February, 2024

2D convolutional stochastic configuration networks.
Knowl. Based Syst., 2024

Security concern and fuzzy output sliding mode load frequency control of power systems.
Inf. Sci., 2024

Stochastic configuration networks with improved supervisory mechanism.
Inf. Sci., 2024

Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics.
Inf. Sci., 2024

Stochastic configuration networks with particle swarm optimisation search.
Inf. Sci., 2024

Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems.
Eng. Appl. Artif. Intell., 2024

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems.
CoRR, 2024

Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling.
CoRR, 2024

Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics.
CoRR, 2024

Recurrent Stochastic Configuration Networks for Temporal Data Analytics.
CoRR, 2024

Lightweight Stochastic Configuration Networks.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Effective Hardware Implementation of Convolution with Binary Sequences.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

2023
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks.
Neural Comput. Appl., October, 2023

Stochastic configuration networks for adaptive inverse dynamics modeling.
Int. J. Mach. Learn. Cybern., October, 2023

Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity.
IEEE Trans. Intell. Transp. Syst., 2023

Stochastic Configuration Machines: FPGA Implementation.
CoRR, 2023

Stochastic Configuration Machines for Industrial Artificial Intelligence.
CoRR, 2023

2022
Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems.
IEEE Trans. Fuzzy Syst., 2022

Multiview Spectral Clustering via Robust Subspace Segmentation.
IEEE Trans. Cybern., 2022

Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing.
IEEE Trans. Cybern., 2022

Graph convolutional autoencoders with co-learning of graph structure and node attributes.
Pattern Recognit., 2022

Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process.
Neural Comput. Appl., 2022

Performance of soft sensors based on stochastic configuration networks with nonnegative garrote.
Neural Comput. Appl., 2022

Industrial data classification using stochastic configuration networks with self-attention learning features.
Neural Comput. Appl., 2022

Stochastic configuration networks for imbalanced data classification.
Int. J. Mach. Learn. Cybern., 2022

Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution.
Inf. Sci., 2022

Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants.
Inf. Sci., 2022

Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation.
Inf. Sci., 2022

Stochastic configuration networks for multi-dimensional integral evaluation.
Inf. Sci., 2022

Deep stochastic configuration networks with different random sampling strategies.
Inf. Sci., 2022

Deep stochastic configuration networks with optimised model and hyper-parameters.
Inf. Sci., 2022

Federated stochastic configuration networks for distributed data analytics.
Inf. Sci., 2022

Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance.
Eng. Appl. Artif. Intell., 2022

Incomplete multi-view clustering via local and global co-regularization.
Sci. China Inf. Sci., 2022

Research and development of heavy truck big data management system based on Vue and element UI.
Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

2021
Data mining for energy systems: Review and prospect.
WIREs Data Mining Knowl. Discov., 2021

2-D Stochastic Configuration Networks for Image Data Analytics.
IEEE Trans. Cybern., 2021

Stochastic configuration network ensembles with selective base models.
Neural Networks, 2021

Robust speed prediction of high-speed trains based on improved echo state networks.
Neural Comput. Appl., 2021

2020
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.
IEEE Trans. Ind. Informatics, 2020

Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks.
Neural Comput. Appl., 2020

Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system.
Inf. Sci., 2020

Distributed stochastic configuration networks with cooperative learning paradigm.
Inf. Sci., 2020

A hybrid regularization approach for random vector functional-link networks.
Expert Syst. Appl., 2020

2019
Enhancing semantic image retrieval with limited labeled examples via deep learning.
Knowl. Based Syst., 2019

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams.
Inf. Sci., 2019

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression.
Inf. Sci., 2019

Fuzzy rule-based models with randomized development mechanisms.
Fuzzy Sets Syst., 2019

Improved randomized learning algorithms for imbalanced and noisy educational data classification.
Computing, 2019

Asymptotic state estimation for linear systems with sensor and actuator faults.
Sci. China Inf. Sci., 2019

2018
Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2018

New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality.
IEEE Trans. Ind. Informatics, 2018

Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit.
IEEE Trans. Fuzzy Syst., 2018

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling.
IEEE Trans. Cybern., 2018

Data-Driven PID Controller and Its Application to Pulp Neutralization Process.
IEEE Trans. Control. Syst. Technol., 2018

Randomized mixture models for probability density approximation and estimation.
Inf. Sci., 2018

A comprehensive survey on genetic algorithms for DNA motif prediction.
Inf. Sci., 2018

Type theory based semantic verification for service composition in cloud computing environments.
Inf. Sci., 2018

Handling distributed XML queries over large XML data based on MapReduce framework.
Inf. Sci., 2018

Efficient saliency detection using convolutional neural networks with feature selection.
Inf. Sci., 2018

Building feedforward neural networks with random weights for large scale datasets.
Expert Syst. Appl., 2018

Two Dimensional Stochastic Configuration Networks for Image Data Analytics.
CoRR, 2018

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams.
CoRR, 2018

Construction of prediction intervals using adaptive neurofuzzy inference systems.
Appl. Soft Comput., 2018

Deep Stochastic Configuration Networks with Universal Approximation Property.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Randomness in neural networks: an overview.
WIREs Data Mining Knowl. Discov., 2017

An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Stochastic Configuration Networks: Fundamentals and Algorithms.
IEEE Trans. Cybern., 2017

Robust stochastic configuration networks with kernel density estimation for uncertain data regression.
Inf. Sci., 2017

Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics.
Inf. Sci., 2017

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls.
Inf. Sci., 2017

Real-time optimal control of tracking running for high-speed electric multiple unit.
Inf. Sci., 2017

An improved algorithm for building self-organizing feedforward neural networks.
Neurocomputing, 2017

Online real-time learning strategies for data streams for Neurocomputing.
Neurocomputing, 2017

Case-based reasoning classifier based on learning pseudo metric retrieval.
Expert Syst. Appl., 2017

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation.
CoRR, 2017

Building Robust Stochastic Configuration Networks with Kernel Density Estimation.
CoRR, 2017

Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics.
CoRR, 2017

A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps.
IEEE Trans. Neural Networks Learn. Syst., 2016

A decentralized training algorithm for Echo State Networks in distributed big data applications.
Neural Networks, 2016

Editorial: Randomized algorithms for training neural networks.
Inf. Sci., 2016

High dimensional data regression using Lasso model and neural networks with random weights.
Inf. Sci., 2016

An iterative learning algorithm for feedforward neural networks with random weights.
Inf. Sci., 2016

Industrial image classification using a randomized neural-net ensemble and feedback mechanism.
Neurocomputing, 2016

2015
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes.
IEEE Trans. Syst. Man Cybern. Syst., 2015

A local learning algorithm for random weights networks.
Knowl. Based Syst., 2015

A fractional-order adaptive regularization primal-dual algorithm for image denoising.
Inf. Sci., 2015

Distributed learning for Random Vector Functional-Link networks.
Inf. Sci., 2015

An improved multi-source based soft sensor for measuring cement free lime content.
Inf. Sci., 2015

A probabilistic learning algorithm for robust modeling using neural networks with random weights.
Inf. Sci., 2015

An adiabatic quantum algorithm and its application to DNA motif model discovery.
Inf. Sci., 2015

Quantum artificial neural networks with applications.
Inf. Sci., 2015

2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression.
Neurocomputing, 2015

Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis.
Neurocomputing, 2015

Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers.
Expert Syst. Appl., 2015

Distributed music classification using Random Vector Functional-Link nets.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay.
J. Frankl. Inst., 2014

Special issue: Data-driven fault diagnosis of industrial systems.
Inf. Sci., 2014

Fast decorrelated neural network ensembles with random weights.
Inf. Sci., 2014

Introduction to the special issue on fault diagnosis and prognosis for engineering systems.
Comput. Electr. Eng., 2014

2013
A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps.
IEEE Trans. Neural Networks Learn. Syst., 2013

Machine learning in intelligent image processing.
Signal Process., 2013

An optimal weight learning machine for handwritten digit image recognition.
Signal Process., 2013

Estimation of effluent quality using PLS-based extreme learning machines.
Neural Comput. Appl., 2013

Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis.
Neural Comput. Appl., 2013

Evolutionary extreme learning machine ensembles with size control.
Neurocomputing, 2013

Burning state recognition of rotary kiln using ELMs with heterogeneous features.
Neurocomputing, 2013

Advances in Extreme Learning Machines (ELM2011).
Neurocomputing, 2013

A robust adaptive neural networks controller for maritime dynamic positioning system.
Neurocomputing, 2013

Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques.
Expert Syst. Appl., 2013

2012
Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Networks Learn. Syst., 2012

Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2012

Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral.
IEEE Trans. Ind. Informatics, 2012

Editorial.
Soft Comput., 2012

Computational localization of transcription factor binding sites using extreme learning machines.
Soft Comput., 2012

Predicting mill load using partial least squares and extreme learning machines.
Soft Comput., 2012

Machine learning approach for face image retrieval.
Neural Comput. Appl., 2012

Fuzzy Approach for Semantic Face Image Retrieval.
Comput. J., 2012

MISCORE: a new scoring function for characterizing DNA regulatory motifs in promoter sequences.
BMC Syst. Biol., 2012

2011
Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation.
IEEE Trans. Fuzzy Syst., 2011

Automatic localization and annotation of facial features using machine learning techniques.
Soft Comput., 2011

Extreme learning machines: a survey.
Int. J. Mach. Learn. Cybern., 2011

Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function.
Neurocomputing, 2011

A new robust training algorithm for a class of single-hidden layer feedforward neural networks.
Neurocomputing, 2011

Advances in extreme learning machines (ELM2010).
Neurocomputing, 2011

SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model.
BMC Bioinform., 2011

2010
iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery.
Proceedings of the Neural Information Processing. Models and Applications, 2010

SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Fuzzy filtering systems for performing environment improvement of computational DNA motif discovery.
Proceedings of the FUZZ-IEEE 2010, 2010

Mining Regulatory Elements in Non-coding Regions of <i>Arabidopsis thaliana</i>.
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

Computational discovery of regulatory DNA motifs using evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Motif Recognition Using LVQ Classifiers with Overlap-based Similarity Metrics.
Aust. J. Intell. Inf. Process. Syst., 2009

Overlap-Based Similarity Metrics for Motif Search in DNA Sequences.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Hopfield neural network approach for power optimization of real-time operating systems.
Neural Comput. Appl., 2008

Modeling performance enhancement with constrained linear filters.
Proceedings of the International Joint Conference on Neural Networks, 2008

MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Computational Discovery of Motifs Using Hierarchical Clustering Techniques.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Learning Based Neural Similarity Metrics for Multimedia Data Mining.
Soft Comput., 2007

Improved generalization of neural classifiers with enforced internal representation.
Neurocomputing, 2007

On graph modelling, node ranking and visualisation.
Int. J. Intell. Syst. Technol. Appl., 2007

2006
A structure-based approach for multimedia information filtering.
Multim. Tools Appl., 2006

Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques.
Int. J. Syst. Sci., 2006

A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome.
Neurocomputing, 2006

Hardware-software partitioning of real-time operating systems using Hopfield neural networks.
Neurocomputing, 2006

Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

ELM-based Multiple Classifier Systems.
Proceedings of the Ninth International Conference on Control, 2006

2005
Learning Pseudo Metric for Intelligent Multimedia Data Classification and Retrieval.
J. Intell. Manuf., 2005

A Hybird Image Retrieval System with User's Relevance Feedback Using Neurocomputing.
Informatica (Slovenia), 2005

Learning similarity for semantic images classification.
Neurocomputing, 2005

Neural Classification of E.coli Promoters Using Selected DNA Profiles.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Multimedia data mining for building rule-based image retrieval systems.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Semantics modeling based image retrieval system using neural networks.
Proceedings of the 2005 International Conference on Image Processing, 2005

E-Coli Promoter Recognition Using Neural Networks with Feature Selection.
Proceedings of the Advances in Intelligent Computing, 2005

2004
Learning Pseudo Metric for Multimedia Data Classification and Retrieval.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
On impulsive modes of linear singular systems subject to decentralized output feedback.
IEEE Trans. Autom. Control., 2003

Structural properties and poles assignability of LTI singular systems under output feedback.
Autom., 2003

A Software Engineering Approach to Develop Adaptive RBF Neural Networks.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Learning Semantic Concepts from Visual Data Using Neural Networks.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

Realization of Generalized RBF Network.
Proceedings of the 3th International Conference on IT in Asia, 2003

Token Identification Using HMM and PPM Models.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Selection of Parameters in Building Fuzzy Decision Trees.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Robustness for Evaluating Rule?s Generalization Capability in Data Mining.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Learning to Survive: Increased Learning Rates by Communication in a Multi-agent System.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Algebraic properties of singular systems subject to decentralized output feedback.
IEEE Trans. Autom. Control., 2002

Trading off between Misclassification, Recognition and Generalization in Data Mining with Continuous Features.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

Protein Sequences Classification Using Modular RBF Neural Networks.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
An Edge-Preserving Image Reconstruction Using Neural Network.
J. Math. Imaging Vis., 2001

Edge-preserved neural network model for image restoration.
J. Electronic Imaging, 2001

An Adaptive Buffer Management Algorithm for Enhancing Dependability and Performance in Mobile-Object-Based Real-Time Computing .
Proceedings of the 4th International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2001), 2001

Heuristic Rule Based Neuro-Fuzzy Approach for Adaptive Buffer Management for Internet-based Computing.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2001

Design and analysis of one-step-ahead adaptive neural predictive controller.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Integrating Intelligent Machines with Humans for a Better Tomorrow, 2001

2000
Robust impulse control of uncertain singular systems by decentralized output feedback.
IEEE Trans. Autom. Control., 2000

Enhancing the estimation of plant Jacobian for adaptive neural inverse control.
Neurocomputing, 2000

1999
On regularizing singular systems by decentralized output feedback.
IEEE Trans. Autom. Control., 1999

Edge-preserving neural network model for image restoration.
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999


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