Edge-preserving neural network model for image restoration. - Paul Bao; Dianhui Wang 001 (ISSPA, 1999)

Enhancing the estimation of plant Jacobian for adaptive neural inverse control. - Dianhui Wang 001; Paul Bao (Neurocomputing, 2000)

Robust impulse control of uncertain singular systems by decentralized output feedback. - Dianhui Wang 001; Paul Bao (IEEE Trans. Autom. Control., 2000)

Design and analysis of one-step-ahead adaptive neural predictive controller. - Dianhui Wang 001; Tharam S. Dillon; Allan K. Y. Wong (CIRA, 2001)

Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets. - Dianhui Wang 001; Tharam S. Dillon (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2001)

Heuristic Rule Based Neuro-Fuzzy Approach for Adaptive Buffer Management for Internet-based Computing. - Dianhui Wang 001; Allan K. Y. Wong; Tharam S. Dillon (FUZZ-IEEE, 2001)

An Adaptive Buffer Management Algorithm for Enhancing Dependability and Performance in Mobile-Object-Based Real-Time Computing . - May T. W. Ip; Wilfred W. K. Lin; Allan K. Y. Wong; Tharam S. Dillon; Dianhui Wang 001 (ISORC, 2001)

Edge-preserved neural network model for image restoration. - Paul Bao; Dianhui Wang 001 (J. Electronic Imaging, 2001)

An Edge-Preserving Image Reconstruction Using Neural Network. - Paul Bao; Dianhui Wang 001 (J. Math. Imaging Vis., 2001)

Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration. - Dianhui Wang 001; Tharam S. Dillon (Australian Joint Conference on Artificial Intelligence, 2002)

Protein Sequences Classification Using Modular RBF Neural Networks. - Dianhui Wang 001; Nung Kion Lee; Tharam S. Dillon; Nicholas J. Hoogenraad (Australian Joint Conference on Artificial Intelligence, 2002)

Trading off between Misclassification, Recognition and Generalization in Data Mining with Continuous Features. - Dianhui Wang 001; Tharam S. Dillon; Elizabeth Chang 001 (IEA/AIE, 2002)

Robustness for Evaluating Rule?s Generalization Capability in Data Mining. - Dianhui Wang 001; Tharam S. Dillon; Xiaohang Ma (Australian Conference on Artificial Intelligence, 2003)

Selection of Parameters in Building Fuzzy Decision Trees. - Xizhao Wang; Minghua Zhao; Dianhui Wang 001 (Australian Conference on Artificial Intelligence, 2003)

Realization of Generalized RBF Network. - Nung Kion Lee; Dianhui Wang 001 (CITA, 2003)

A Software Engineering Approach to Develop Adaptive RBF Neural Networks. - Alex Talevski; Elizabeth Chang 001; Dianhui Wang 001; Tharam S. Dillon (HIS, 2003)

Data mining for building neural protein sequence classification systems with improved performance. - Dianhui Wang 001; Nung Kion Lee; Tharam S. Dillon (IJCNN, 2003)

Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks. - Dianhui Wang 001; Alex Talevski; Tharam S. Dillon (IJCNN, 2003)

SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis. - Kuanquan Wang; Lu Wang 001; Dianhui Wang 001; Lisheng Xu (Australian Conference on Artificial Intelligence, 2004)

E-Coli Promoter Recognition Using Neural Networks with Feature Selection. - Paul C. Conilione; Dianhui Wang 001 (ICIC (2), 2005)

Effect of non-target examples on E.coli promoters recognition using neural networks. - Paul C. Conilione; Dianhui Wang 001 (IJCNN, 2005)

Protein sequence classification using extreme learning machine. - Dianhui Wang 001; Guang-Bin Huang (IJCNN, 2005)

Neural Classification of E.coli Promoters Using Selected DNA Profiles. - Paul C. Conilione; Dianhui Wang 001 (WSTST, 2005)

Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip. - Bing Guo; Dianhui Wang 001; Yan Shen 001; Zhishu Li (ICONIP (3), 2006)

Hardware-software partitioning of real-time operating systems using Hopfield neural networks. - Bing Guo; Dianhui Wang 001; Yan Shen 001; Zhong Liu (Neurocomputing, 2006)

Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques. - Dianhui Wang 001; Tharam S. Dillon (Int. J. Syst. Sci., 2006)

Computational Discovery of Motifs Using Hierarchical Clustering Techniques. - Dianhui Wang 001; Nung Kion Lee (ICDM, 2008)

Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics. - Paul C. Conilione; Dianhui Wang 001 (ICONIP (2), 2008)

An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information. - Xi Li; Dianhui Wang 001 (ICONIP (1), 2008)

MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection. - Dianhui Wang 001; Nung Kion Lee (ICONIP (1), 2008)

A Hopfield neural network approach for power optimization of real-time operating systems. - Bing Guo; Dianhui Wang 001; Yan Shen 001; Zhishu Li (Neural Comput. Appl., 2008)

Overlap-Based Similarity Metrics for Motif Search in DNA Sequences. - Hai Thanh Do; Dianhui Wang 001 (ICONIP (2), 2009)

Mining Regulatory Elements in Non-coding Regions of Arabidopsis thaliana. - Xi Li; Dianhui Wang 001 (CSBio, 2010)

SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps. - Nung Kion Lee; Dianhui Wang 001 (ICONIP (2), 2010)

iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery. - Dianhui Wang 001; Xi Li (ICONIP (2), 2010)

SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model. - Nung Kion Lee; Dianhui Wang 001 (BMC Bioinform., 2011)

Advances in extreme learning machines (ELM2010). - Guang-Bin Huang; Dianhui Wang 001 (Neurocomputing, 2011)

A new robust training algorithm for a class of single-hidden layer feedforward neural networks. - Zhihong Man; Kevin Lee; Dianhui Wang 001; Zhenwei Cao; Chunyan Miao (Neurocomputing, 2011)

Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function. - Hongming Yang; Wenjun Xu; Junhua Zhao 001; Dianhui Wang 001; Zhaoyang Dong (Neurocomputing, 2011)

Extreme learning machines: a survey. - Guang-Bin Huang; Dianhui Wang 001; Yuan Lan (Int. J. Mach. Learn. Cybern., 2011)

Automatic localization and annotation of facial features using machine learning techniques. - Paul C. Conilione; Dianhui Wang 001 (Soft Comput., 2011)

Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation. - Yongfu Wang; Dianhui Wang 001; Tianyou Chai (IEEE Trans. Fuzzy Syst., 2011)

Fuzzy Approach for Semantic Face Image Retrieval. - Paul C. Conilione; Dianhui Wang 001 (Comput. J., 2012)

Machine learning approach for face image retrieval. - Dianhui Wang 001; Paul C. Conilione (Neural Comput. Appl., 2012)

Predicting mill load using partial least squares and extreme learning machines. - Jian Tang 003; Dianhui Wang 001; Tianyou Chai (Soft Comput., 2012)

Computational localization of transcription factor binding sites using extreme learning machines. - Dianhui Wang 001; Hai Thanh Do (Soft Comput., 2012)

Editorial. - Xi-Zhao Wang; Dianhui Wang 001; Guang-Bin Huang (Soft Comput., 2012)

Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral. - Weitao Li; Dianhui Wang 001; Tianyou Chai (IEEE Trans. Ind. Informatics, 2012)

Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier. - Zhihong Man; Kevin Lee; Dianhui Wang 001; Zhenwei Cao; Suiyang Khoo (IEEE Trans. Neural Networks Learn. Syst., 2012)

Global Convergence of Online BP Training With Dynamic Learning Rate. - Rui Zhang 005; Zongben Xu; Guang-Bin Huang; Dianhui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques. - Yongfu Wang; Dianhui Wang 001; Tianyou Chai (Expert Syst. Appl., 2013)

Advances in Extreme Learning Machines (ELM2011). - Guang-Bin Huang; Dianhui Wang 001 (Neurocomputing, 2013)

Burning state recognition of rotary kiln using ELMs with heterogeneous features. - Weitao Li; Dianhui Wang 001; Tianyou Chai (Neurocomputing, 2013)

Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis. - Kevin Lee; Zhihong Man; Dianhui Wang 001; Zhenwei Cao (Neural Comput. Appl., 2013)

Estimation of effluent quality using PLS-based extreme learning machines. - Lijie Zhao; Dianhui Wang 001; Tianyou Chai (Neural Comput. Appl., 2013)

An optimal weight learning machine for handwritten digit image recognition. - Zhihong Man; Kevin Lee; Dianhui Wang 001; Zhenwei Cao; Suiyang Khoo (Signal Process., 2013)

Introduction to the special issue on fault diagnosis and prognosis for engineering systems. - Zhihong Man; Dianhui Wang 001 (Comput. Electr. Eng., 2014)

Special issue: Data-driven fault diagnosis of industrial systems. - Dianhui Wang 001; Zhihong Man (Inf. Sci., 2014)

Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay. - Feisheng Yang; Shouping Guan; Dianhui Wang 001 (J. Frankl. Inst., 2014)

Distributed music classification using Random Vector Functional-Link nets. - Simone Scardapane; Roberto Fierimonte; Dianhui Wang 001; Massimo Panella; Aurelio Uncini (IJCNN, 2015)

Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. - Aijun Yan; Dianhui Wang 001 (Expert Syst. Appl., 2015)

Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. - Dianhui Wang 001; Wen Yu 001; Tianyou Chai (Neurocomputing, 2015)

2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression. - Xiaojie Zhou; Dianhui Wang 001; Zhugui Shao (Neurocomputing, 2015)

A probabilistic learning algorithm for robust modeling using neural networks with random weights. - Feilong Cao; Hailiang Ye; Dianhui Wang 001 (Inf. Sci., 2015)

An improved multi-source based soft sensor for measuring cement free lime content. - Weitao Li; Dianhui Wang 001; Xiaojie Zhou; Tianyou Chai (Inf. Sci., 2015)

Distributed learning for Random Vector Functional-Link networks. - Simone Scardapane; Dianhui Wang 001; Massimo Panella; Aurelio Uncini (Inf. Sci., 2015)

Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes. - Weitao Li; Dianhui Wang 001; Tianyou Chai (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Industrial image classification using a randomized neural-net ensemble and feedback mechanism. - Weitao Li; Keqiong Chen; Dianhui Wang 001 (Neurocomputing, 2016)

An iterative learning algorithm for feedforward neural networks with random weights. - Feilong Cao; Dianhui Wang 001; Hou-Ying Zhu; Yuguang Wang 001 (Inf. Sci., 2016)

High dimensional data regression using Lasso model and neural networks with random weights. - Caihao Cui; Dianhui Wang 001 (Inf. Sci., 2016)

Editorial: Randomized algorithms for training neural networks. - Dianhui Wang 001 (Inf. Sci., 2016)

A decentralized training algorithm for Echo State Networks in distributed big data applications. - Simone Scardapane; Dianhui Wang 001; Massimo Panella (Neural Networks, 2016)

A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. - Sarwar Tapan; Dianhui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System. - Yan Xu 005; Rui Zhang 057; Junhua Zhao 001; Zhao Yang Dong; Dianhui Wang 001; Hongming Yang; Kit Po Wong (IEEE Trans. Neural Networks Learn. Syst., 2016)

A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble. - Bara Miskony; Dianhui Wang 001 (ICONIP (4), 2017)

Building Robust Stochastic Configuration Networks with Kernel Density Estimation. - Dianhui Wang 001; Ming Li 065 (CoRR, 2017)

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. - Dianhui Wang 001; Ming Li 065 (CoRR, 2017)

Case-based reasoning classifier based on learning pseudo metric retrieval. - Aijun Yan; Hang Yu; Dianhui Wang 001 (Expert Syst. Appl., 2017)

Online real-time learning strategies for data streams for Neurocomputing. - Mahardhika Pratama; Edwin Lughofer; Dianhui Wang 001 (Neurocomputing, 2017)

An improved algorithm for building self-organizing feedforward neural networks. - Junfei Qiao 001; Sanyi Li; Honggui Han; Dianhui Wang 001 (Neurocomputing, 2017)

Real-time optimal control of tracking running for high-speed electric multiple unit. - Yating Fu; Hui Yang 005; Dianhui Wang 001 (Inf. Sci., 2017)

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. - Ming Li 065; Dianhui Wang 001 (Inf. Sci., 2017)

Robust stochastic configuration networks with kernel density estimation for uncertain data regression. - Dianhui Wang 001; Ming Li 065 (Inf. Sci., 2017)

Stochastic Configuration Networks: Fundamentals and Algorithms. - Dianhui Wang 001; Ming Li 065 (IEEE Trans. Cybern., 2017)

An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems. - Yajun Zhang; Tianyou Chai; Dianhui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Randomness in neural networks: an overview. - Simone Scardapane; Dianhui Wang 001 (WIREs Data Mining Knowl. Discov., 2017)

Deep Stochastic Configuration Networks with Universal Approximation Property. - Dianhui Wang 001; Ming Li 065 (IJCNN, 2018)

Construction of prediction intervals using adaptive neurofuzzy inference systems. - Bara Miskony; Dianhui Wang 001 (Appl. Soft Comput., 2018)

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. - Mahardhika Pratama; Dianhui Wang 001 (CoRR, 2018)

Two Dimensional Stochastic Configuration Networks for Image Data Analytics. - Ming Li 065; Dianhui Wang 001 (CoRR, 2018)

Building feedforward neural networks with random weights for large scale datasets. - Hailiang Ye; Feilong Cao; Dianhui Wang 001; Hong Li 009 (Expert Syst. Appl., 2018)

Efficient saliency detection using convolutional neural networks with feature selection. - Feilong Cao; Yuehua Liu; Dianhui Wang 001 (Inf. Sci., 2018)

Handling distributed XML queries over large XML data based on MapReduce framework. - Hongjie Fan; Zhiyi Ma; Dianhui Wang 001; Junfei Liu (Inf. Sci., 2018)

Type theory based semantic verification for service composition in cloud computing environments. - Changqin Huang; Xizhe Wang; Dianhui Wang 001 (Inf. Sci., 2018)

A comprehensive survey on genetic algorithms for DNA motif prediction. - Nung Kion Lee; Xi Li; Dianhui Wang 001 (Inf. Sci., 2018)

Data-Driven PID Controller and Its Application to Pulp Neutralization Process. - Yajun Zhang; Yao Jia 001; Tianyou Chai; Dianhui Wang 001; Wei Dai 004; Jun Fu 001 (IEEE Trans. Control. Syst. Technol., 2018)

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. - Simone Scardapane; Dianhui Wang 001; Aurelio Uncini (IEEE Trans. Cybern., 2018)

Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit. - Hui Yang 005; Yating Fu; Dianhui Wang 001 (IEEE Trans. Fuzzy Syst., 2018)

New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality. - Feisheng Yang; Jing He 013; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2018)

Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes. - Yajun Zhang; Tianyou Chai; Hong Wang 001; Dianhui Wang 001; Xinkai Chen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design. - Yajun Zhang; Tianyou Chai; Dianhui Wang 001; Xinkai Chen (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Asymptotic state estimation for linear systems with sensor and actuator faults. - Chun-Hua Xie; Hui Yang 005; Dianhui Wang 001; Zhe Li (Sci. China Inf. Sci., 2019)

Improved randomized learning algorithms for imbalanced and noisy educational data classification. - Ming Li 065; Changqin Huang; Dianhui Wang 001; Qintai Hu; Jia Zhu 003; Yong Tang 001 (Computing, 2019)

Fuzzy rule-based models with randomized development mechanisms. - Xingchen Hu; Witold Pedrycz; Dianhui Wang 001 (Fuzzy Sets Syst., 2019)

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. - Ming Li 065; Changqin Huang; Dianhui Wang 001 (Inf. Sci., 2019)

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. - Mahardhika Pratama; Dianhui Wang 001 (Inf. Sci., 2019)

Enhancing semantic image retrieval with limited labeled examples via deep learning. - Haijiao Xu; Changqin Huang; Dianhui Wang 001 (Knowl. Based Syst., 2019)

A hybrid regularization approach for random vector functional-link networks. - Hailiang Ye; Feilong Cao; Dianhui Wang 001 (Expert Syst. Appl., 2020)

Distributed stochastic configuration networks with cooperative learning paradigm. - Wu Ai; Dianhui Wang 001 (Inf. Sci., 2020)

Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system. - Huakai Zhang; Yongfu Wang; Dianhui Wang 001; Yunlong Wang 007 (Inf. Sci., 2020)

Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. - Changqin Huang; Qionghao Huang; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2020)

Robust speed prediction of high-speed trains based on improved echo state networks. - Hongen Liu; Hui Yang 005; Dianhui Wang 001 (Neural Comput. Appl., 2021)

Stochastic configuration network ensembles with selective base models. - Changqin Huang; Ming Li 065; Dianhui Wang 001 (Neural Networks, 2021)

2-D Stochastic Configuration Networks for Image Data Analytics. - Ming Li 065; Dianhui Wang 001 (IEEE Trans. Cybern., 2021)

Data mining for energy systems: Review and prospect. - Wenxuan Liu; Junhua Zhao 001; Dianhui Wang 001 (WIREs Data Mining Knowl. Discov., 2021)

Incomplete multi-view clustering via local and global co-regularization. - Jiye Liang; Xiaolin Liu; Liang Bai; Fuyuan Cao; Dianhui Wang 001 (Sci. China Inf. Sci., 2022)

Federated stochastic configuration networks for distributed data analytics. - Wei Dai 004; Langlong Ji; Dianhui Wang 001 (Inf. Sci., 2022)

Deep stochastic configuration networks with optimised model and hyper-parameters. - Matthew J. Felicetti; Dianhui Wang 001 (Inf. Sci., 2022)

Deep stochastic configuration networks with different random sampling strategies. - Matthew J. Felicetti; Dianhui Wang 001 (Inf. Sci., 2022)

Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation. - Weitao Li; Qian Zhang 001; Dianhui Wang 001; Wei Sun 011; Qiyue Li (Inf. Sci., 2022)

Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants. - Yongfu Wang; Maoxuan Wang; Dianhui Wang 001; Yongli Chang (Inf. Sci., 2022)

Stochastic configuration networks for imbalanced data classification. - Wei Dai 004; Chuanfeng Ning; Jing Nan; Dianhui Wang 001 (Int. J. Mach. Learn. Cybern., 2022)

Industrial data classification using stochastic configuration networks with self-attention learning features. - Weitao Li; Yali Deng; Meishuang Ding; Dianhui Wang 001; Wei Sun 011; Qiyue Li (Neural Comput. Appl., 2022)

Performance of soft sensors based on stochastic configuration networks with nonnegative garrote. - Pengxin Tian; Kai Sun; Dianhui Wang 001 (Neural Comput. Appl., 2022)

Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process. - Aijun Yan; Jingcheng Guo; Dianhui Wang 001 (Neural Comput. Appl., 2022)

Graph convolutional autoencoders with co-learning of graph structure and node attributes. - Jie Wang 046; Jiye Liang; Kaixuan Yao; Jianqing Liang; Dianhui Wang 001 (Pattern Recognit., 2022)

Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. - Jia Chen; Ming Zhong 002; Jianxin Li 001; Dianhui Wang 001; Tieyun Qian; Hang Tu (IEEE Trans. Cybern., 2022)

Multiview Spectral Clustering via Robust Subspace Segmentation. - Yan Pan 002; Chang-Qin Huang; Dianhui Wang 001 (IEEE Trans. Cybern., 2022)

Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems. - Yongfu Wang; Yunlong Wang 007; Dianhui Wang 001; Tianyou Chai (IEEE Trans. Fuzzy Syst., 2022)

Stochastic Configuration Machines for Industrial Artificial Intelligence. - Dianhui Wang 001; Matthew J. Felicetti (CoRR, 2023)

Stochastic Configuration Machines: FPGA Implementation. - Matthew J. Felicetti; Dianhui Wang 001 (CoRR, 2023)

Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity. - Yongfu Wang; Bingxin Ma; Dianhui Wang 001; Tianyou Chai (IEEE Trans. Intell. Transp. Syst., 2023)

Stochastic configuration networks for adaptive inverse dynamics modeling. - Gang Dang; Dianhui Wang 001 (Int. J. Mach. Learn. Cybern., 2023)

Activity recognition in rehabilitation training based on ensemble stochastic configuration networks. - Wenhua Jiao; Ruilin Li; Jianguo Wang; Dianhui Wang 001; Kuan Zhang (Neural Comput. Appl., 2023)

Effective Hardware Implementation of Convolution with Binary Sequences. - Dmitrii V. Minenkov; Alexander S. Voznesensky; Dianhui Wang 001; Dmitrii I. Kaplun (MECO, 2024)

Lightweight Stochastic Configuration Networks. - Dianhui Wang 001; Matthew J. Felicetti (SDS, 2024)

Recurrent Stochastic Configuration Networks for Temporal Data Analytics. - Dianhui Wang 001; Gang Dang (CoRR, 2024)

Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling. - Gang Dang; Dianhui Wang 001 (CoRR, 2024)

Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling. - Gang Dang; Dianhui Wang 001 (CoRR, 2024)

Kernel Stochastic Configuration Networks for Nonlinear Regression. - Yongxuan Chen; Dianhui Wang 001 (CoRR, 2024)

Stochastic configuration networks with particle swarm optimisation search. - Matthew J. Felicetti; Dianhui Wang 001 (Inf. Sci., 2024)

Stochastic configuration networks with improved supervisory mechanism. - Jing Nan; Wei Dai 004; Dianhui Wang 001 (Inf. Sci., 2024)

Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. - Kang Li 009; Junfei Qiao 001; Dianhui Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. - Kang Li 009; Junfei Qiao 001; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2024)

Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration. - Bangji Fan; Xinghua Liu; Gaoxi Xiao; Yu Kang 001; Dianhui Wang 001; Peng Wang 017 (IEEE Trans. Artif. Intell., 2024)

An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling. - Yongxuan Chen; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2024)

An empirical study on prediction of seismic activity using stochastic configuration networks. - Yuanhang Qiu; Dianhui Wang 001 (Neural Comput. Appl., 2024)

Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. - Dianhui Wang 001; Pengxin Tian; Wei Dai 004; Gang Yu (IEEE Trans. Ind. Informatics, 2024)

Graph Embedded Stochastic Configuration Networks for Imbalanced Data Classification. - Yuanhang Qiu; Dianhui Wang 001 (ICASSP, 2025)

Robust multi-target regression with improved stochastic configuration networks and its applications. - Aijun Yan; Kaicheng Hu; Dianhui Wang 001; Jian Tang 003 (Inf. Sci., 2025)

Granular stochastic configuration networks for uncertain data modeling. - Yuanhang Qiu; Dianhui Wang 001 (Knowl. Based Syst., 2025)

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems. - Gang Dang; Dianhui Wang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks. - Weitao Li; Xinru Zhang; Dianhui Wang 001; Qianqian Tong; Tianyou Chai (CoRR, 2025)

An Improved Fuzzy Recurrent Stochastic Configuration Network for Modeling Nonlinear Systems. - Gang Dang; Dianhui Wang 001 (IEEE Trans. Fuzzy Syst., 2025)

Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics. - Dianhui Wang 001; Gang Dang (IEEE Trans. Fuzzy Syst., 2025)

Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics. - Gang Dang; Dianhui Wang 001 (IEEE Trans. Fuzzy Syst., 2025)

Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modeling. - Gang Dang; Dianhui Wang 001 (IEEE Trans. Ind. Informatics, 2025)