Dianhui Wang
Orcid: 0000-0002-5356-7268Affiliations:
- China University of Mining and Technology (CUMT), AI Research Institute, Xuzhou, China
- Northeastern University, State Key Laboratory of Synthetical Automation of Process Industries, Shenyang, Liaoning, China
- La Trobe University, Department of Computer Science and Information Technology, Melbourne, VIC, Australia
- Hong Kong Polytechnic University, Hong Kong (former)
- Nanyang Technological University, Singapore (1995-2001)
- Northeastern University, Shenyang, Liaoning, China (PhD 1995)
According to our database1,
Dianhui Wang
authored at least 159 papers
between 1999 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Fuzzy Syst., September, 2025
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modeling.
IEEE Trans. Ind. Informatics, June, 2025
Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics.
IEEE Trans. Fuzzy Syst., June, 2025
IEEE Trans. Fuzzy Syst., April, 2025
An Improved Fuzzy Recurrent Stochastic Configuration Network for Modeling Nonlinear Systems.
IEEE Trans. Fuzzy Syst., April, 2025
Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks.
CoRR, January, 2025
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems.
IEEE Trans Autom. Sci. Eng., 2025
Knowl. Based Syst., 2025
Robust multi-target regression with improved stochastic configuration networks and its applications.
Inf. Sci., 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 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
IEEE Trans. Artif. Intell., May, 2024
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis.
IEEE Trans. Ind. Informatics, March, 2024
IEEE Trans. Fuzzy Syst., March, 2024
Security concern and fuzzy output sliding mode load frequency control of power systems.
Inf. Sci., 2024
Inf. Sci., 2024
Inf. Sci., 2024
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling.
CoRR, 2024
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling.
CoRR, 2024
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024
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
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
2022
IEEE Trans. Fuzzy Syst., 2022
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
Int. J. Mach. Learn. Cybern., 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
Inf. Sci., 2022
Inf. Sci., 2022
Inf. Sci., 2022
Sci. China Inf. Sci., 2022
2021
WIREs Data Mining Knowl. Discov., 2021
IEEE Trans. Cybern., 2021
Neural Networks, 2021
Neural Comput. Appl., 2021
2020
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.
IEEE Trans. Ind. Informatics, 2020
Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system.
Inf. Sci., 2020
Inf. Sci., 2020
Expert Syst. Appl., 2020
2019
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 Sets Syst., 2019
Improved randomized learning algorithms for imbalanced and noisy educational data classification.
Computing, 2019
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
IEEE Trans. Cybern., 2018
IEEE Trans. Control. Syst. Technol., 2018
Inf. Sci., 2018
Type theory based semantic verification for service composition in cloud computing environments.
Inf. Sci., 2018
Inf. Sci., 2018
Efficient saliency detection using convolutional neural networks with feature selection.
Inf. Sci., 2018
Expert Syst. Appl., 2018
CoRR, 2018
CoRR, 2018
Appl. Soft Comput., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Cybern., 2017
Robust stochastic configuration networks with kernel density estimation for uncertain data regression.
Inf. Sci., 2017
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls.
Inf. Sci., 2017
Inf. Sci., 2017
Neurocomputing, 2017
Neurocomputing, 2017
Expert Syst. Appl., 2017
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation.
CoRR, 2017
CoRR, 2017
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
IEEE Trans. Neural Networks Learn. Syst., 2016
A decentralized training algorithm for Echo State Networks in distributed big data applications.
Neural Networks, 2016
High dimensional data regression using Lasso model and neural networks with random weights.
Inf. Sci., 2016
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
Inf. Sci., 2015
A probabilistic learning algorithm for robust modeling using neural networks with random weights.
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
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
Introduction to the special issue on fault diagnosis and prognosis for engineering systems.
Comput. Electr. Eng., 2014
2013
Signal Process., 2013
Neural Comput. Appl., 2013
Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis.
Neural Comput. Appl., 2013
Neurocomputing, 2013
Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques.
Expert Syst. Appl., 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
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
Computational localization of transcription factor binding sites using extreme learning machines.
Soft Comput., 2012
Soft Comput., 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
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
SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model.
BMC Bioinform., 2011
2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010
2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
A Hopfield neural network approach for power optimization of real-time operating systems.
Neural Comput. Appl., 2008
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
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2006
Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques.
Int. J. Syst. Sci., 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
2005
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Proceedings of the Advances in Intelligent Computing, 2005
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
Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2003
Data mining for building neural protein sequence classification systems with improved performance.
Proceedings of the International Joint Conference on Neural Networks, 2003
A Software Engineering Approach to Develop Adaptive RBF Neural Networks.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Realization of Generalized RBF Network.
Proceedings of the 3th International Conference on IT in Asia, 2003
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003
2002
Trading off between Misclassification, Recognition and Generalization in Data Mining with Continuous Features.
Proceedings of the Developments in Applied Artificial Intelligence, 2002
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
J. Math. Imaging Vis., 2001
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
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
Neurocomputing, 2000
1999
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999