Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDDianhui Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j111]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: 123-141 (2022)- [j110]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: 108215 (2022) - [j109]Yan Pan, Chang-Qin Huang, Dianhui Wang:
Multiview Spectral Clustering via Robust Subspace Segmentation. IEEE Trans. Cybern. 52(4): 2467-2476 (2022) - [j108]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): 515-529 (2022) - 2021
- [j107]Hongen Liu, Hui Yang, Dianhui Wang:
Robust speed prediction of high-speed trains based on improved echo state networks. Neural Comput. Appl. 33(7): 2351-2367 (2021) - [j106]Changqin Huang, Ming Li, Dianhui Wang:
Stochastic configuration network ensembles with selective base models. Neural Networks 137: 106-118 (2021) - [j105]Ming Li, Dianhui Wang:
2-D Stochastic Configuration Networks for Image Data Analytics. IEEE Trans. Cybern. 51(1): 359-372 (2021) - [j104]Wenxuan Liu, Junhua Zhao, Dianhui Wang:
Data mining for energy systems: Review and prospect. WIREs Data Mining Knowl. Discov. 11(4) (2021) - 2020
- [j103]Hailiang Ye, Feilong Cao, Dianhui Wang:
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020) - [j102]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: 1-17 (2020) - [j101]Wu Ai, Dianhui Wang:
Distributed stochastic configuration networks with cooperative learning paradigm. Inf. Sci. 540: 1-16 (2020) - [j100]Wei Wang, Dianhui Wang:
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32(17): 13625-13638 (2020) - [j99]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): 373-383 (2020)
2010 – 2019
- 2019
- [j98]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): 212202:1-212202:15 (2019) - [j97]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): 571-585 (2019) - [j96]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j95]Ming Li, Changqin Huang, Dianhui Wang:
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. Inf. Sci. 473: 73-86 (2019) - [j94]Mahardhika Pratama, Dianhui Wang:
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495: 150-174 (2019) - [j93]Haijiao Xu, Changqin Huang, Dianhui Wang:
Enhancing semantic image retrieval with limited labeled examples via deep learning. Knowl. Based Syst. 163: 252-266 (2019) - 2018
- [j92]Bara Miskony, Dianhui Wang:
Construction of prediction intervals using adaptive neurofuzzy inference systems. Appl. Soft Comput. 72: 579-586 (2018) - [j91]Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li:
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - [j90]Hongjie Fan, Zhiyi Ma, Dianhui Wang, Junfei Liu:
Handling distributed XML queries over large XML data based on MapReduce framework. Inf. Sci. 453: 1-20 (2018) - [j89]Feilong Cao, Yuehua Liu, Dianhui Wang:
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456: 34-49 (2018) - [j88]Nung Kion Lee, Xi Li, Dianhui Wang:
A comprehensive survey on genetic algorithms for DNA motif prediction. Inf. Sci. 466: 25-43 (2018) - [j87]Hien Duy Nguyen, Dianhui Wang, Geoffrey J. McLachlan:
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467: 135-148 (2018) - [j86]Changqin Huang, Xizhe Wang, Dianhui Wang:
Type theory based semantic verification for service composition in cloud computing environments. Inf. Sci. 469: 101-118 (2018) - [j85]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): 828-841 (2018) - [j84]Simone Scardapane, Dianhui Wang, Aurelio Uncini:
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48(7): 2049-2059 (2018) - [j83]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): 1472-1484 (2018) - [j82]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): 231-240 (2018) - [j81]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): 2352-2366 (2018) - [j80]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): 342-353 (2018) - [c38]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks with Universal Approximation Property. IJCNN 2018: 1-8 - [i6]Mahardhika Pratama, Dianhui Wang:
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. CoRR abs/1808.02234 (2018) - [i5]Ming Li, Dianhui Wang:
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. CoRR abs/1809.02066 (2018) - 2017
- [j79]Aijun Yan, Hang Yu, Dianhui Wang:
Case-based reasoning classifier based on learning pseudo metric retrieval. Expert Syst. Appl. 89: 91-98 (2017) - [j78]Mahardhika Pratama, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262: 1-3 (2017) - [j77]Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang:
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262: 28-40 (2017) - [j76]Yating Fu, Hui Yang, Dianhui Wang:
Real-time optimal control of tracking running for high-speed electric multiple unit. Inf. Sci. 376: 202-215 (2017) - [j75]Ming Li, Dianhui Wang:
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. Inf. Sci. 382-383: 170-178 (2017) - [j74]Dianhui Wang, Ming Li:
Robust stochastic configuration networks with kernel density estimation for uncertain data regression. Inf. Sci. 412: 210-222 (2017) - [j73]Dianhui Wang, Caihao Cui:
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics. Inf. Sci. 417: 55-71 (2017) - [j72]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. IEEE Trans. Cybern. 47(10): 3466-3479 (2017) - [j71]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): 1606-1617 (2017) - [j70]Simone Scardapane, Dianhui Wang:
Randomness in neural networks: an overview. WIREs Data Mining Knowl. Discov. 7(2) (2017) - [c37]Bara Miskony, Dianhui Wang:
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble. ICONIP (4) 2017: 51-60 - [i4]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. CoRR abs/1702.03180 (2017) - [i3]Dianhui Wang, Ming Li:
Building Robust Stochastic Configuration Networks with Kernel Density Estimation. CoRR abs/1702.04459 (2017) - [i2]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. CoRR abs/1702.05639 (2017) - [i1]Dianhui Wang, Caihao Cui:
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics. CoRR abs/1707.00300 (2017) - 2016
- [j69]Weitao Li, Keqiong Chen, Dianhui Wang:
Industrial image classification using a randomized neural-net ensemble and feedback mechanism. Neurocomputing 173: 708-714 (2016) - [j68]Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang:
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328: 546-557 (2016) - [j67]Dianhui Wang:
Editorial: Randomized algorithms for training neural networks. Inf. Sci. 364-365: 126-128 (2016) - [j66]Caihao Cui, Dianhui Wang:
High dimensional data regression using Lasso model and neural networks with random weights. Inf. Sci. 372: 505-517 (2016) - [j65]Simone Scardapane, Dianhui Wang, Massimo Panella:
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78: 65-74 (2016) - [j64]Sarwar Tapan, Dianhui Wang:
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 27(1): 113-124 (2016) - [j63]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): 1686-1696 (2016) - 2015
- [j62]Aijun Yan, Dianhui Wang:
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. Expert Syst. Appl. 42(21): 8006-8013 (2015) - [j61]Dianhui Wang, Wen Yu, Tianyou Chai:
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. Neurocomputing 169: 358-360 (2015) - [j60]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: 373-382 (2015) - [j59]Huaixin Cao, Feilong Cao, Dianhui Wang:
Quantum artificial neural networks with applications. Inf. Sci. 290: 1-6 (2015) - [j58]Dan Tian, Dingyu Xue, Dianhui Wang:
A fractional-order adaptive regularization primal-dual algorithm for image denoising. Inf. Sci. 296: 147-159 (2015) - [j57]Huaixin Cao, Dianhui Wang, Feilong Cao:
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296: 275-281 (2015) - [j56]Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301: 271-284 (2015) - [j55]Feilong Cao, Hailiang Ye, Dianhui Wang:
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313: 62-78 (2015) - [j54]Weitao Li, Dianhui Wang, Xiaojie Zhou, Tianyou Chai:
An improved multi-source based soft sensor for measuring cement free lime content. Inf. Sci. 323: 94-105 (2015) - [j53]Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang:
A local learning algorithm for random weights networks. Knowl. Based Syst. 74: 159-166 (2015) - [j52]Weitao Li, Dianhui Wang, Tianyou Chai:
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes. IEEE Trans. Syst. Man Cybern. Syst. 45(2): 303-314 (2015) - [c36]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - 2014
- [j51]Zhihong Man, Dianhui Wang:
Introduction to the special issue on fault diagnosis and prognosis for engineering systems. Comput. Electr. Eng. 40(7): 2151-2153 (2014) - [j50]Dianhui Wang, Zhihong Man:
Special issue: Data-driven fault diagnosis of industrial systems. Inf. Sci. 259: 231-233 (2014) - [j49]Monther Alhamdoosh, Dianhui Wang:
Fast decorrelated neural network ensembles with random weights. Inf. Sci. 264: 104-117 (2014) - [j48]Feisheng Yang, Shouping Guan, Dianhui Wang:
Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay. J. Frankl. Inst. 351(7): 3752-3765 (2014) - 2013
- [j47]Yongfu Wang, Dianhui Wang, Tianyou Chai:
Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques. Expert Syst. Appl. 40(4): 975-983 (2013) - [j46]Guang-Bin Huang, Dianhui Wang:
Advances in Extreme Learning Machines (ELM2011). Neurocomputing 102: 1-2 (2013) - [j45]Dianhui Wang, Monther Alhamdoosh:
Evolutionary extreme learning machine ensembles with size control. Neurocomputing 102: 98-110 (2013) - [j44]Weitao Li, Dianhui Wang, Tianyou Chai:
Burning state recognition of rotary kiln using ELMs with heterogeneous features. Neurocomputing 102: 144-153 (2013) - [j43]Jialu Du, Yang Yang, Dianhui Wang, Chen Guo:
A robust adaptive neural networks controller for maritime dynamic positioning system. Neurocomputing 110: 128-136 (2013) - [j42]Kevin Lee, Zhihong Man, Dianhui Wang, Zhenwei Cao:
Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis. Neural Comput. Appl. 22(3-4): 457-468 (2013) - [j41]Lijie Zhao, Dianhui Wang, Tianyou Chai:
Estimation of effluent quality using PLS-based extreme learning machines. Neural Comput. Appl. 22(3-4): 509-519 (2013) - [j40]Dacheng Tao, Dianhui Wang, Fionn Murtagh:
Machine learning in intelligent image processing. Signal Process. 93(6): 1399-1400 (2013) - [j39]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo:
An optimal weight learning machine for handwritten digit image recognition. Signal Process. 93(6): 1624-1638 (2013) - [j38]Dianhui Wang, Sarwar Tapan:
A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1677-1688 (2013) - 2012
- [j37]Dianhui Wang, Sarwar Tapan:
MISCORE: a new scoring function for characterizing DNA regulatory motifs in promoter sequences. BMC Syst. Biol. 6(S-2): S4 (2012) - [j36]Paul C. Conilione, Dianhui Wang:
Fuzzy Approach for Semantic Face Image Retrieval. Comput. J. 55(9): 1130-1145 (2012) - [j35]Dianhui Wang, Paul C. Conilione:
Machine learning approach for face image retrieval. Neural Comput. Appl. 21(4): 683-694 (2012) - [j34]Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang:
Editorial. Soft Comput. 16(9): 1461-1463 (2012) - [j33]Jian Tang, Dianhui Wang, Tianyou Chai:
Predicting mill load using partial least squares and extreme learning machines. Soft Comput. 16(9): 1585-1594 (2012) - [j32]Dianhui Wang, Hai Thanh Do:
Computational localization of transcription factor binding sites using extreme learning machines. Soft Comput. 16(9): 1595-1606 (2012) - [j31]Weitao Li, Dianhui Wang, Tianyou Chai:
Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral. IEEE Trans. Ind. Informatics 8(4): 780-790 (2012) - [j30]Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang:
Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Trans. Neural Networks Learn. Syst. 23(2): 330-341 (2012) - [j29]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo:
Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1974-1986 (2012) - 2011
- [j28]Nung Kion Lee, Dianhui Wang:
SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model. BMC Bioinform. 12(S-1): S16 (2011) - [j27]Guang-Bin Huang, Dianhui Wang:
Advances in extreme learning machines (ELM2010). Neurocomputing 74(16): 2411-2412 (2011) - [j26]Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao:
A new robust training algorithm for a class of single-hidden layer feedforward neural networks. Neurocomputing 74(16): 2491-2501 (2011) - [j25]Hongming Yang, Wenjun Xu, Junhua Zhao, Dianhui Wang, Zhaoyang Dong:
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function. Neurocomputing 74(16): 2573-2581 (2011) - [j24]Guang-Bin Huang, Dianhui Wang, Yuan Lan:
Extreme learning machines: a survey. Int. J. Mach. Learn. Cybern. 2(2): 107-122 (2011) - [j23]Paul C. Conilione, Dianhui Wang:
Automatic localization and annotation of facial features using machine learning techniques. Soft Comput. 15(6): 1231-1245 (2011) - [j22]Yongfu Wang, Dianhui Wang, Tianyou Chai:
Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation. IEEE Trans. Fuzzy Syst. 19(4): 682-693 (2011) - [e1]Dianhui Wang, Mark Reynolds:
AI 2011: Advances in Artificial Intelligence - 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings. Lecture Notes in Computer Science 7106, Springer 2011, ISBN 978-3-642-25831-2 [contents] - 2010
- [c35]Xi Li, Dianhui Wang:
Computational discovery of regulatory DNA motifs using evolutionary computation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c34]Xi Li, Dianhui Wang:
Mining Regulatory Elements in Non-coding Regions of Arabidopsis thaliana. CSBio 2010: 94-105 - [c33]Dianhui Wang, Sarwar Tapan:
Fuzzy filtering systems for performing environment improvement of computational DNA motif discovery. FUZZ-IEEE 2010: 1-8 - [c32]Dianhui Wang, Xi Li:
iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery. ICONIP (2) 2010: 217-225 - [c31]Nung Kion Lee, Dianhui Wang:
SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps. ICONIP (2) 2010: 242-249
2000 – 2009
- 2009
- [j21]Hai Thanh Do, Dianhui Wang:
Motif Recognition Using LVQ Classifiers with Overlap-based Similarity Metrics. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [c30]Dianhui Wang, Xi Li:
GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences. IEEE Congress on Evolutionary Computation 2009: 277-284 - [c29]Hai Thanh Do, Dianhui Wang:
Overlap-Based Similarity Metrics for Motif Search in DNA Sequences. ICONIP (2) 2009: 465-474 - 2008
- [j20]Bing Guo, Dianhui Wang, Yan Shen, Zhishu Li:
A Hopfield neural network approach for power optimization of real-time operating systems. Neural Comput. Appl. 17(1): 11-17 (2008) - [c28]Dianhui Wang, Nung Kion Lee:
Computational Discovery of Motifs Using Hierarchical Clustering Techniques. ICDM 2008: 1073-1078 - [c27]Dianhui Wang, Nung Kion Lee:
MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection. ICONIP (1) 2008: 478-485 - [c26]Xi Li, Dianhui Wang:
An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information. ICONIP (1) 2008: 521-528 - [c25]Paul C. Conilione, Dianhui Wang:
Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics. ICONIP (2) 2008: 792-799 - [c24]Dianhui Wang:
Modeling performance enhancement with constrained linear filters. IJCNN 2008: 698-702 - 2007
- [j19]Xiaodi Huang, Dianhui Wang, Kazuo Misue, Jiro Tanaka, A. S. M. Sajeev:
On graph modelling, node ranking and visualisation. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 188-210 (2007) - [j18]Iveta Mrázová, Dianhui Wang:
Improved generalization of neural classifiers with enforced internal representation. Neurocomputing 70(16-18): 2940-2952 (2007) - [j17]Dianhui Wang, Yong-Soo Kim,