Dianhui Wang

Dianhui Wang, Tharam S. Dillon, Elizabeth Chang, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes

Hong Wang, Tianyou Chai, Dianhui Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An adaptive buffer management algorithm for enhancing dependability and performance in mobile-object-based real-time computing

Tharam S. Dillon, Dianhui Wang, Allan K. Y. Wong, 2001, Fourth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing. ISORC 2001.

Robust stochastic configuration networks with kernel density estimation for uncertain data regression

Ming Li, Dianhui Wang, Dianhui Wang, 2017, Inf. Sci..

Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics pdf

Dianhui Wang, Caihao Cui, 2017, Inf. Sci..

Learning Based Neural Similarity Metrics for Multimedia Data Mining

Dianhui Wang, Yong-Soo Kim, Chul Soo Lee, 2006, Soft Comput..

ELM-based Multiple Classifier Systems

Dianhui Wang, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Semantics modeling based image retrieval system using neural networks

Dianhui Wang, Xiaohang Ma, 2005, IEEE International Conference on Image Processing 2005.

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams

Dianhui Wang, Mahardhika Pratama, 2019, Inf. Sci..

Quantum artificial neural networks with applications

Dianhui Wang, Feilong Cao, Huaixin Cao, 2015, Inf. Sci..

SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model

Dianhui Wang, Nung Kion Lee, Dianhui Wang, 2011, BMC Bioinformatics.

Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis

Tianyou Chai, Dianhui Wang, Wen Yu, 2015, Neurocomputing.

An Edge-Preserving Image Reconstruction Using Neural Network

Dianhui Wang, Paul Bao, 2004, Journal of Mathematical Imaging and Vision.

Edge-preserving neural network model for image restoration

Dianhui Wang, Paul Bao, 2000, IWISPA 2000. Proceedings of the First International Workshop on Image and Signal Processing and Analysis. in conjunction with 22nd International Conference on Information Technology Interfaces. (IEEE.

An optimal weight learning machine for handwritten digit image recognition

Zhihong Man, Suiyang Khoo, Dianhui Wang, 2013, Signal Process..

Modeling and control compensation of nonlinear friction using adaptive fuzzy systems

Tianyou Chai, Dianhui Wang, Yong-Fu Wang, 2009 .

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression

Ming Li, Dianhui Wang, Changqin Huang, 2019, Inf. Sci..

Data mining for constructing ellipsoidal fuzzy classifier with various input features using GRBF neural networks

Dianhui Wang, Tharam S. Dillon, Elizabeth Chang, 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

Computational localization of transcription factor binding sites using extreme learning machines

Dianhui Wang, Hai Thanh Do, Dianhui Wang, 2012, Soft Comput..

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

Zhihong Man, Chunyan Miao, Dianhui Wang, 2011, Neurocomputing.

Distributed learning for Random Vector Functional-Link networks

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, Inf. Sci..

Predicting mill load using partial least squares and extreme learning machines

Tianyou Chai, Dianhui Wang, Jian Tang, 2012, Soft Comput..

Estimation of effluent quality using PLS-based extreme learning machines

Tianyou Chai, Dianhui Wang, Lijie Zhao, 2012, Neural Computing and Applications.

Enhancing the estimation of plant Jacobian for adaptive neural inverse control

Dianhui Wang, Paul Bao, 2000, Neurocomputing.

Improved generalization of neural classifiers with enforced internal representation

Dianhui Wang, Iveta Mrázová, Dianhui Wang, 2007, Neurocomputing.

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

Dianhui Wang, Wenjun Xu, Zhao Yang Dong, 2011, Neurocomputing.

Improved randomized learning algorithms for imbalanced and noisy educational data classification

Yong Tang, Dianhui Wang, Ming Li, 2018, Computing.

A robust adaptive neural networks controller for maritime dynamic positioning system

Dianhui Wang, Yang Yang, Jialu Du, 2013, Neurocomputing.

Learning Semantic Concepts from Visual Data Using Neural Networks

Dianhui Wang, Xiaohang Ma, 2003, DICTA.

Multimedia data mining for building rule-based image retrieval systems

Dianhui Wang, Xiaohang Ma, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams pdf

Dianhui Wang, Mahardhika Pratama, Dianhui Wang, 2018, ArXiv.

High dimensional data regression using Lasso model and neural networks with random weights

Dianhui Wang, Caihao Cui, Dianhui Wang, 2016, Inf. Sci..

On impulsive modes of linear singular systems subject to decentralized output feedback

Dianhui Wang, Runyi Yu, Dianhui Wang, 2003, IEEE Trans. Autom. Control..

Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing

Dianhui Wang, Qionghao Huang, Changqin Huang, 2020, IEEE Transactions on Industrial Informatics.

Distributed stochastic configuration networks with cooperative learning paradigm

Dianhui Wang, Wu Ai, 2020, Inf. Sci..

A decentralized training algorithm for Echo State Networks in distributed big data applications

Dianhui Wang, Simone Scardapane, Massimo Panella, 2016, Neural Networks.

Selection of Parameters in Building Fuzzy Decision Trees

Xizhao Wang, Dianhui Wang, Minghua Zhao, 2003, Australian Conference on Artificial Intelligence.

Advances in extreme learning machines (ELM2014)

Dianhui Wang, Guang-Bin Huang, Dianhui Wang, 2011, Neurocomputing.

Deep Stochastic Configuration Networks with Universal Approximation Property

Ming Li, Dianhui Wang, Dianhui Wang, 2017, 2018 International Joint Conference on Neural Networks (IJCNN).

Protein sequences classification using radial basis function (RBF) neural networks

Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

An improved algorithm for building self-organizing feedforward neural networks

Dianhui Wang, Junfei Qiao, Honggui Han, 2017, Neurocomputing.

Neural-net based multi-steps nonlinear adaptive model predictive controller design

Tianyou Chai, Dianhui Wang, 1995, Proceedings of 1995 American Control Conference - ACC'95.

AI 2011: Advances in Artificial Intelligence - 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings

Dianhui Wang, Mark Reynolds, Dianhui Wang, 2011, Australasian Conference on Artificial Intelligence.

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation pdf

Ming Li, Dianhui Wang, Dianhui Wang, 2017, ArXiv.

Effect of non-target examples on E.coli promoters recognition using neural networks

Dianhui Wang, P.C. Conilione, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Effects of Communication in Cooperative Q-Learning

Dianhui Wang, Paul Darbyshire, 2010 .

Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip

Dianhui Wang, Yan Shen, Bing Guo, 2006, ICONIP.

An iterative learning algorithm for feedforward neural networks with random weights

Dianhui Wang, Feilong Cao, Yuguang Wang, 2016, Inf. Sci..

Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques

Tharam S. Dillon, Dianhui Wang, 2006, Int. J. Syst. Sci..

Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system

Huaguang Zhang, Dianhui Wang, Yang Wang, 2020, Inf. Sci..

Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics

Dianhui Wang, Paul C. Conilione, 2008, ICONIP.

Global Convergence of Online BP Training With Dynamic Learning Rate

Dianhui Wang, Zongben Xu, Guang-Bin Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Modelling the transcription factor DNA-binding affinity using genome-wide ChIP-based data

Dianhui Wang, Monther Alhamdoosh, Dianhui Wang, 2016, bioRxiv.

E-Coli Promoter Recognition Using Neural Networks with Feature Selection

Dianhui Wang, Paul C. Conilione, 2005, ICIC.

Heuristic rule based neuro-fuzzy approach for adaptive buffer management for Internet-based computing

Tharam S. Dillon, Dianhui Wang, Allan K. Y. Wong, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Type theory based semantic verification for service composition in cloud computing environments

Dianhui Wang, Changqin Huang, Xizhe Wang, 2018, Inf. Sci..

Protein sequence classification using extreme learning machine

Dianhui Wang, Guang-Bin Huang, G. Huang, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Data-Driven PID Controller and Its Application to Pulp Neutralization Process

Jun Fu, Tianyou Chai, Dianhui Wang, 2018, IEEE Transactions on Control Systems Technology.

Case-based reasoning classifier based on learning pseudo metric retrieval

Dianhui Wang, Hang Yu, Aijun Yan, 2017, Expert Syst. Appl..

Handling distributed XML queries over large XML data based on MapReduce framework

Dianhui Wang, Zhiyi Ma, Junfei Liu, 2018, Inf. Sci..

New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality

Dianhui Wang, Jing He, Feisheng Yang, 2018, IEEE Transactions on Industrial Informatics.

Structural properties and poles assignability of LTI singular systems under output feedback

Dianhui Wang, Runyi Yu, Dianhui Wang, 2003, Autom..

Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral

Tianyou Chai, Dianhui Wang, Weitao Li, 2012, IEEE Transactions on Industrial Informatics.

Online real-time learning strategies for data streams for Neurocomputing

Dianhui Wang, Edwin Lughofer, Mahardhika Pratama, 2017, Neurocomputing.

A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps

Dianhui Wang, Sarwar Tapan, 2016, IEEE Transactions on Neural Networks and Learning Systems.

An improved multi-source based soft sensor for measuring cement free lime content

Tianyou Chai, Dianhui Wang, Xiaojie Zhou, 2015, Inf. Sci..

Edge-Preserving Neural Network Model for Image

Dianhui Wang, Paul Bao, 2000 .

A Hopfield neural network approach for power optimization of real-time operating systems

Dianhui Wang, Yan Shen, Bing Guo, 2006, Neural Computing and Applications.

Robustness for Evaluating Rule?s Generalization Capability in Data Mining

Tharam S. Dillon, Dianhui Wang, Xiaohang Ma, 2003, Australian Conference on Artificial Intelligence.

Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier

Zhihong Man, Suiyang Khoo, Dianhui Wang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Dianhui Wang, Monther Alhamdoosh, Dianhui Wang, 2014, Inf. Sci..

Data mining for building neural protein sequence classification systems with improved performance

Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

A modified ELM algorithm for single-hidden layer feedforward neural networks with linear nodes

Zhihong Man, Chunyan Miao, Dianhui Wang, 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.

Advances in extreme learning machines (ELM2014)

Dianhui Wang, Guang-Bin Huang, Dianhui Wang, 2011, Neurocomputing.

Electronic, Optical, Mechanical and Lattice Dynamical Properties of MgBi2O6: A First-Principles Study

Dianhui Wang, Lin Liu, Yan Zhong, 2019, Applied Sciences.

Burning state recognition of rotary kiln using ELMs with heterogeneous features

Tianyou Chai, Dianhui Wang, Weitao Li, 2013, Neurocomputing.

Fuzzy filtering systems for performing environment improvement of computational DNA motif discovery

Dianhui Wang, Sarwar Tapan, 2010, International Conference on Fuzzy Systems.

Motif Recognition Using LVQ Classifiers with Overlap-based Similarity Metrics

Dianhui Wang, Hai Thanh Do, 2009, Aust. J. Intell. Inf. Process. Syst..

MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection

Dianhui Wang, Nung Kion Lee, 2008, ICONIP.

Fuzzy rule-based models with randomized development mechanisms

Witold Pedrycz, Dianhui Wang, Xingchen Hu, 2019, Fuzzy Sets Syst..

Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes

Tianyou Chai, Dianhui Wang, Weitao Li, 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

ANFIS-based fuzzy systems for searching dna-protein binding sites

Witold Pedrycz, Dianhui Wang, Monther Alhamdoosh, 2016 .

Distributed music classification using Random Vector Functional-Link nets

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Real-time optimal control of tracking running for high-speed electric multiple unit

Hui Yang, Dianhui Wang, Yating Fu, 2017, Inf. Sci..

Automatic localization and annotation of facial features using machine learning techniques

Dianhui Wang, Paul C. Conilione, P. Conilione, 2011, Soft Comput..

Design and analysis of one-step-ahead adaptive neural predictive controller

Tharam S. Dillon, Dianhui Wang, Allan K. Y. Wong, 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

Dianhui Wang, Xiaohang Ma, 2004, International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of.

Data mining using neural networks

Elizabeth Chang, Dianhui Wang, Tharam S. Dillon, 2001 .

Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit

Hui Yang, Dianhui Wang, Yating Fu, 2018, IEEE Transactions on Fuzzy Systems.

A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble

Dianhui Wang, Bara Miskony, 2017, ICONIP.

Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks

Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, 2003 .

Edge-preserved neural network model for image restoration

Dianhui Wang, Paul Bao, 2001, J. Electronic Imaging.

Evolutionary extreme learning machine ensembles with size control

Dianhui Wang, Monther Alhamdoosh, Dianhui Wang, 2013, Neurocomputing.

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling

Dianhui Wang, Simone Scardapane, Aurelio Uncini, 2018, IEEE Transactions on Cybernetics.

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

Dianhui Wang, Xiaojie Zhou, Zhugui Shao, 2015, Neurocomputing.

Fuzzy Approach for Semantic Face Image Retrieval

Dianhui Wang, Paul C. Conilione, 2012, Comput. J..

Robust speed prediction of high-speed trains based on improved echo state networks

Hui Yang, Dianhui Wang, Hongen Liu, 2020, Neural Computing and Applications.

Extreme learning machines: a survey

Dianhui Wang, Yuan Lan, Guang-Bin Huang, 2011, Int. J. Mach. Learn. Cybern..

SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis

Lu Wang, Dianhui Wang, Kuanquan Wang, 2004, Australian Conference on Artificial Intelligence.

Asymptotic state estimation for linear systems with sensor and actuator faults

Dianhui Wang, Hui Yang, Zhe Li, 2019, Science China Information Sciences.

Adaptive neural model predictive control of chemical process: an empirical study

Dianhui Wang, Dianhui Wang, 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

Computational Discovery of Motifs Using Hierarchical Clustering Techniques

Dianhui Wang, Nung Kion Lee, Dianhui Wang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Industrial image classification using a randomized neural-net ensemble and feedback mechanism

Dianhui Wang, Weitao Li, Keqiong Chen, 2016, Neurocomputing.

Introduction to the special issue on fault diagnosis and prognosis for engineering systems

Zhihong Man, Dianhui Wang, Dianhui Wang, 2014, Computers & electrical engineering.

Mining Regulatory Elements in Non-coding Regions of Arabidopsis thaliana

Dianhui Wang, Xi Li, Dianhui Wang, 2010, CSBio.

Myung-Mook Han, Dianhui Wang, Joon Shik Lim, 2005, Neurocomputing.

Overlap-Based Similarity Metrics for Motif Search in DNA Sequences

Dianhui Wang, Hai Thanh Do, Dianhui Wang, 2009, ICONIP.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls

Ming Li, Dianhui Wang, Dianhui Wang, 2017, Inf. Sci..

Robust impulse control of uncertain singular systems by decentralized output feedback

Dianhui Wang, Paul Bao, 2000, IEEE Trans. Autom. Control..

Analysis and adaptive active control of friction-induced limit cycle.

Tianyou Chai, Dianhui Wang, Yong-Fu Wang, 2011 .

Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks

Dianhui Wang, Tharam S. Dillon, A. Talevski, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis

Zhihong Man, Dianhui Wang, Kevin Lee, 2013, Neural Computing and Applications.

Multivariable adaptive control of unknown nonlinear dynamic systems using neural networks

Tianyou Chai, Dianhui Wang, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks

Dianhui Wang, Wei Wang, 2020, Neural Computing and Applications.

Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System

Rui Zhang, Dianhui Wang, Kit Po Wong, 2016, IEEE Transactions on Neural Networks and Learning Systems.

A probabilistic learning algorithm for robust modeling using neural networks with random weights

Dianhui Wang, Feilong Cao, Hailiang Ye, 2015, Inf. Sci..

Adaptive fuzzy neural controller design

Tianyou Chai, Dianhui Wang, Lihua Xia, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Modeling performance enhancement with constrained linear filters

Dianhui Wang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble

Witold Pedrycz, Jun Zhao, Dianhui Wang, 2021, IEEE Transactions on Fuzzy Systems.

Edge-preserving neural network model for image restoration

Dianhui Wang, Paul Bao, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Neural Classification of E.coli Promoters Using Selected DNA Profiles

Dianhui Wang, Paul C. Conilione, P. Conilione, 2005, WSTST.

Building feedforward neural networks with random weights for large scale datasets

Dianhui Wang, Feilong Cao, Hong Li, 2018, Expert Syst. Appl..

Edge-preserving neural network based image restoration

Dianhui Wang, P. Bao, 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

Feature Extraction for Face Image Retrieval

Dianhui Wang, P.C. Conilione, 2008, 2008 3rd International Conference on Innovative Computing Information and Control.