Dianhui Wang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 90

Top Venues

Publications

Junqi Li, Dianhui Wang
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics. Inf. Sci. 667 (2024)
Junqi Li, Dianhui Wang
2D convolutional stochastic configuration networks. Knowl. Based Syst. 300 (2024)
Kang Li, Junfei Qiao, Dianhui Wang
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun
Effective Hardware Implementation of Convolution with Binary Sequences. MECO (2024)
Dianhui Wang, Gang Dang
Recurrent Stochastic Configuration Networks for Temporal Data Analytics. CoRR (2024)
Dianhui Wang, Gang Dang
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics. CoRR (2024)
Bangji Fan, Xinghua Liu, Gaoxi Xiao, Yu Kang, Dianhui Wang, Peng Wang
Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration. IEEE Trans. Artif. Intell. 5 (5) (2024)
Matthew J. Felicetti, Dianhui Wang
Stochastic configuration networks with particle swarm optimisation search. Inf. Sci. 677 (2024)
Jing Nan, Wei Dai, Dianhui Wang
Stochastic configuration networks with improved supervisory mechanism. Inf. Sci. 677 (2024)
Kang Li, Junfei Qiao, Dianhui Wang
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Trans. Ind. Informatics 20 (3) (2024)
Kai Sun, Lei Zhao, Pengxin Tian, Jianjun Zhao, Dianhui Wang
Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. Inf. Sci. 659 (2024)
Siwei Qiao, Xinghua Liu, Dianhui Wang, Shuzhi Sam Ge
Security concern and fuzzy output sliding mode load frequency control of power systems. Inf. Sci. 676 (2024)
Yongxuan Chen, Dianhui Wang
An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling. IEEE Trans. Ind. Informatics 20 (5) (2024)
Yongfu Wang, Yan Liu, Jinliang Ding, Dianhui Wang
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems. Eng. Appl. Artif. Intell. 131 (2024)
Dianhui Wang, Matthew J. Felicetti
Stochastic Configuration Machines for Industrial Artificial Intelligence. CoRR (2023)
Gang Dang, Dianhui Wang
Stochastic configuration networks for adaptive inverse dynamics modeling. Int. J. Mach. Learn. Cybern. 14 (10) (2023)
Matthew J. Felicetti, Dianhui Wang
Stochastic Configuration Machines: FPGA Implementation. CoRR (2023)
Wenhua Jiao, Ruilin Li, Jianguo Wang, Dianhui Wang, Kuan Zhang
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks. Neural Comput. Appl. 35 (28) (2023)
Yongfu Wang, Bingxin Ma, Dianhui Wang, Tianyou Chai
Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Pengxin Tian, Kai Sun, Dianhui Wang
Performance of soft sensors based on stochastic configuration networks with nonnegative garrote. Neural Comput. Appl. 34 (18) (2022)
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65 (5) (2022)
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121 (2022)
Weitao Li, Qian Zhang, Dianhui Wang, Wei Sun, Qiyue Li
Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation. Inf. Sci. 604 (2022)
Yongfu Wang, Maoxuan Wang, Dianhui Wang, Yongli Chang
Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants. Inf. Sci. 587 (2022)
Weitao Li, Yali Deng, Meishuang Ding, Dianhui Wang, Wei Sun, Qiyue Li
Industrial data classification using stochastic configuration networks with self-attention learning features. Neural Comput. Appl. 34 (24) (2022)
Wei Dai, Langlong Ji, Dianhui Wang
Federated stochastic configuration networks for distributed data analytics. Inf. Sci. 614 (2022)
Yongfu Wang, Gang Luo, Dianhui Wang
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance. Eng. Appl. Artif. Intell. 114 (2022)
Matthew J. Felicetti, Dianhui Wang
Deep stochastic configuration networks with optimised model and hyper-parameters. Inf. Sci. 600 (2022)
Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang
Stochastic configuration networks for imbalanced data classification. Int. J. Mach. Learn. Cybern. 13 (10) (2022)
Shangjie Li, Xianzhen Huang, Dianhui Wang
Stochastic configuration networks for multi-dimensional integral evaluation. Inf. Sci. 601 (2022)
Jia Chen, Ming Zhong, Jianxin Li, Dianhui Wang, Tieyun Qian, Hang Tu
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. 52 (7) (2022)
Yan Pan, Chang-Qin Huang, Dianhui Wang
Multiview Spectral Clustering via Robust Subspace Segmentation. IEEE Trans. Cybern. 52 (4) (2022)
Aijun Yan, Jingcheng Guo, Dianhui Wang
Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution. Inf. Sci. 607 (2022)
Matthew J. Felicetti, Dianhui Wang
Deep stochastic configuration networks with different random sampling strategies. Inf. Sci. 607 (2022)
Dianhui Wang, Tao Sun, Xin Zhou, Zhuangzhuang Tian, Jianyu Guo, Meng Li, Fangyi Li, Jia Man, Jianyong Li
Research and development of heavy truck big data management system based on Vue and element UI. ICCIR (2022)
Aijun Yan, Jingcheng Guo, Dianhui Wang
Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process. Neural Comput. Appl. 34 (18) (2022)
Yongfu Wang, Yunlong Wang, Dianhui Wang, Tianyou Chai
Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems. IEEE Trans. Fuzzy Syst. 30 (2) (2022)
Hongen Liu, Hui Yang, Dianhui Wang
Robust speed prediction of high-speed trains based on improved echo state networks. Neural Comput. Appl. 33 (7) (2021)
Changqin Huang, Ming Li, Dianhui Wang
Stochastic configuration network ensembles with selective base models. Neural Networks 137 (2021)
Wenxuan Liu, Junhua Zhao, Dianhui Wang
Data mining for energy systems: Review and prospect. WIREs Data Mining Knowl. Discov. 11 (4) (2021)
Ming Li, Dianhui Wang
2-D Stochastic Configuration Networks for Image Data Analytics. IEEE Trans. Cybern. 51 (1) (2021)
H. K. Zhang, Y. F. Wang, Dianhui Wang, Y. L. Wang
Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system. Inf. Sci. 511 (2020)
Wu Ai, Dianhui Wang
Distributed stochastic configuration networks with cooperative learning paradigm. Inf. Sci. 540 (2020)
Wei Wang, Dianhui Wang
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32 (17) (2020)
Changqin Huang, Qionghao Huang, Dianhui Wang
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. IEEE Trans. Ind. Informatics 16 (1) (2020)
Hailiang Ye, Feilong Cao, Dianhui Wang
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020)
Mahardhika Pratama, Dianhui Wang
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495 (2019)
Ming Li, Changqin Huang, Dianhui Wang
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. Inf. Sci. 473 (2019)
Xingchen Hu, Witold Pedrycz, Dianhui Wang
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361 (2019)
Chun-Hua Xie, Hui Yang, Dianhui Wang, Zhe Li
Asymptotic state estimation for linear systems with sensor and actuator faults. Sci. China Inf. Sci. 62 (11) (2019)
Haijiao Xu, Changqin Huang, Dianhui Wang
Enhancing semantic image retrieval with limited labeled examples via deep learning. Knowl. Based Syst. 163 (2019)
Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang
Improved randomized learning algorithms for imbalanced and noisy educational data classification. Computing 101 (6) (2019)
Dianhui Wang, Ming Li
Deep Stochastic Configuration Networks with Universal Approximation Property. IJCNN (2018)
Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu
Data-Driven PID Controller and Its Application to Pulp Neutralization Process. IEEE Trans. Control. Syst. Technol. 26 (3) (2018)
Changqin Huang, Xizhe Wang, Dianhui Wang
Type theory based semantic verification for service composition in cloud computing environments. Inf. Sci. 469 (2018)
Hien Duy Nguyen, Dianhui Wang, Geoffrey J. McLachlan
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467 (2018)
Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106 (2018)
Hui Yang, Yating Fu, Dianhui Wang
Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit. IEEE Trans. Fuzzy Syst. 26 (3) (2018)
Feilong Cao, Yuehua Liu, Dianhui Wang
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456 (2018)
Hongjie Fan, Zhiyi Ma, Dianhui Wang, Junfei Liu
Handling distributed XML queries over large XML data based on MapReduce framework. Inf. Sci. 453 (2018)
Yajun Zhang, Tianyou Chai, Dianhui Wang, Xinkai Chen
Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design. IEEE Trans. Syst. Man Cybern. Syst. 48 (3) (2018)
Ming Li, Dianhui Wang
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. CoRR (2018)
Simone Scardapane, Dianhui Wang, Aurelio Uncini
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48 (7) (2018)
Bara Miskony, Dianhui Wang
Construction of prediction intervals using adaptive neurofuzzy inference systems. Appl. Soft Comput. 72 (2018)
Feisheng Yang, Jing He, Dianhui Wang
New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality. IEEE Trans. Ind. Informatics 14 (1) (2018)
Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen
Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Nung Kion Lee, Xi Li, Dianhui Wang
A comprehensive survey on genetic algorithms for DNA motif prediction. Inf. Sci. 466 (2018)
Mahardhika Pratama, Dianhui Wang
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. CoRR (2018)
Ming Li, Dianhui Wang
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. Inf. Sci. (2017)
Simone Scardapane, Dianhui Wang
Randomness in neural networks: an overview. WIREs Data Mining Knowl. Discov. 7 (2) (2017)
Mahardhika Pratama, Edwin Lughofer, Dianhui Wang
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262 (2017)
Yating Fu, Hui Yang, Dianhui Wang
Real-time optimal control of tracking running for high-speed electric multiple unit. Inf. Sci. 376 (2017)
Yajun Zhang, Tianyou Chai, Dianhui Wang
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 28 (7) (2017)
Dianhui Wang, Caihao Cui
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics. CoRR (2017)
Aijun Yan, Hang Yu, Dianhui Wang
Case-based reasoning classifier based on learning pseudo metric retrieval. Expert Syst. Appl. 89 (2017)
Bara Miskony, Dianhui Wang
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble. ICONIP (4) (2017)
Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262 (2017)
Dianhui Wang, Ming Li
Building Robust Stochastic Configuration Networks with Kernel Density Estimation. CoRR (2017)
Dianhui Wang, Caihao Cui
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics. Inf. Sci. 417 (2017)
Dianhui Wang, Ming Li
Stochastic Configuration Networks: Fundamentals and Algorithms. CoRR (2017)
Dianhui Wang, Ming Li
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. CoRR (2017)
Dianhui Wang, Ming Li
Stochastic Configuration Networks: Fundamentals and Algorithms. IEEE Trans. Cybern. 47 (10) (2017)
Dianhui Wang, Ming Li
Robust stochastic configuration networks with kernel density estimation for uncertain data regression. Inf. Sci. 412 (2017)
Caihao Cui, Dianhui Wang
High dimensional data regression using Lasso model and neural networks with random weights. Inf. Sci. 372 (2016)
Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328 (2016)
Sarwar Tapan, Dianhui Wang
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Weitao Li, Keqiong Chen, Dianhui Wang
Industrial image classification using a randomized neural-net ensemble and feedback mechanism. Neurocomputing 173 (2016)
Dianhui Wang
Editorial: Randomized algorithms for training neural networks. Inf. Sci. (2016)
Yan Xu, Rui Zhang, Junhua Zhao, Zhao Yang Dong, Dianhui Wang, Hongming Yang, Kit Po Wong
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System. IEEE Trans. Neural Networks Learn. Syst. 27 (8) (2016)
Simone Scardapane, Dianhui Wang, Massimo Panella
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78 (2016)
Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
Distributed music classification using Random Vector Functional-Link nets. IJCNN (2015)
Dianhui Wang, Wen Yu, Tianyou Chai
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. Neurocomputing 169 (2015)
Aijun Yan, Dianhui Wang
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. Expert Syst. Appl. 42 (21) (2015)
Huaixin Cao, Dianhui Wang, Feilong Cao
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296 (2015)
Huaixin Cao, Feilong Cao, Dianhui Wang
Quantum artificial neural networks with applications. Inf. Sci. 290 (2015)
Xiaojie Zhou, Dianhui Wang, Zhugui Shao
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression. Neurocomputing 169 (2015)
Dan Tian, Dingyu Xue, Dianhui Wang
A fractional-order adaptive regularization primal-dual algorithm for image denoising. Inf. Sci. 296 (2015)
Feilong Cao, Hailiang Ye, Dianhui Wang
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313 (2015)
Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301 (2015)
Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang
A local learning algorithm for random weights networks. Knowl. Based Syst. 74 (2015)

Dianhui Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dianhui Wang