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ORCIDDianhui Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Dianhui Wang 0001
![[0000-0002-5356-7268]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5356-7268")
— China University of Mining and Technology (CUMT), AI Research Institute, Xuzhou, China (and 5 more) - Dianhui Wang 0002 — Dalian Maritime University, Institute of Intelligent Control, China
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2020 – today
- 2026
[j33]Dianhui Wang, Gang Dang:
Recurrent stochastic configuration networks with block increments. Neural Networks 193: 107986 (2026)- 2025
- [j32]Qinxia Wang, Yue Qiu, Weiqiang Qu, Dianhui Wang:
Objects recognition from traffic video data using improved 2D convolutional stochastic configuration networks. Array 25: 100377 (2025) - [j31]Jianjiao Ji, Dianhui Wang:
Evolutionary stochastic configuration networks for industrial data analytics. Inf. Sci. 690: 121546 (2025) - [j30]Aijun Yan, Kaicheng Hu, Dianhui Wang:
Stochastic configuration network modeling method based on information superposition and mixture correntropy. Int. J. Mach. Learn. Cybern. 16(2): 1041-1054 (2025) - 2024
- [j29]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: 120098 (2024) - [j28]Junqi Li, Dianhui Wang:
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics. Inf. Sci. 667: 120497 (2024) - [j27]Junqi Li, Dianhui Wang:
2D convolutional stochastic configuration networks. Knowl. Based Syst. 300: 112249 (2024) - [i2]Xiufeng Yan, Dianhui Wang:
Deeper Insights into Learning Performance of Stochastic Configuration Networks. CoRR abs/2411.08544 (2024) - 2022
- [j26]Shangjie Li, Xianzhen Huang, Dianhui Wang:
Stochastic configuration networks for multi-dimensional integral evaluation. Inf. Sci. 601: 323-339 (2022) - [c12]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: 849-853 - 2020
- [j25]Wei Wang, Dianhui Wang:
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32(17): 13625-13638 (2020)
2010 – 2019
- 2018
- [j24]Hien Duy Nguyen, Dianhui Wang, Geoffrey J. McLachlan:
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467: 135-148 (2018) - 2017
- [j23]Dianhui Wang, Caihao Cui:
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics. Inf. Sci. 417: 55-71 (2017) - [i1]Dianhui Wang, Caihao Cui:
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics. CoRR abs/1707.00300 (2017) - 2015
- [j22]Huaixin Cao, Feilong Cao, Dianhui Wang:
Quantum artificial neural networks with applications. Inf. Sci. 290: 1-6 (2015) - [j21]Dan Tian, Dingyu Xue, Dianhui Wang:
A fractional-order adaptive regularization primal-dual algorithm for image denoising. Inf. Sci. 296: 147-159 (2015) - [j20]Huaixin Cao, Dianhui Wang, Feilong Cao:
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296: 275-281 (2015) - [j19]Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang:
A local learning algorithm for random weights networks. Knowl. Based Syst. 74: 159-166 (2015) - 2014
- [j18]Monther Alhamdoosh, Dianhui Wang:
Fast decorrelated neural network ensembles with random weights. Inf. Sci. 264: 104-117 (2014) - 2013
- [j17]Dianhui Wang, Monther Alhamdoosh:
Evolutionary extreme learning machine ensembles with size control. Neurocomputing 102: 98-110 (2013) - [j16]Jialu Du, Yang Yang, Dianhui Wang, Chen Guo:
A robust adaptive neural networks controller for maritime dynamic positioning system. Neurocomputing 110: 128-136 (2013) - [j15]Dacheng Tao, Dianhui Wang, Fionn Murtagh:
Machine learning in intelligent image processing. Signal Process. 93(6): 1399-1400 (2013) - [j14]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
- [j13]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) - 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
- [c11]Xi Li, Dianhui Wang:
Computational discovery of regulatory DNA motifs using evolutionary computation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c10]Dianhui Wang, Sarwar Tapan:
Fuzzy filtering systems for performing environment improvement of computational DNA motif discovery. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j12]Hai Thanh Do, Dianhui Wang:
Motif Recognition Using LVQ Classifiers with Overlap-based Similarity Metrics. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [c9]Dianhui Wang, Xi Li:
GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences. IEEE Congress on Evolutionary Computation 2009: 277-284 - 2008
- [c8]Dianhui Wang:
Modeling performance enhancement with constrained linear filters. IJCNN 2008: 698-702 - 2007
- [j11]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) - [j10]Iveta Mrázová, Dianhui Wang:
Improved generalization of neural classifiers with enforced internal representation. Neurocomputing 70(16-18): 2940-2952 (2007) - [j9]Dianhui Wang, Yong-Soo Kim, Seok Cheon Park, Chul Soo Lee, Yoon Kyung Han:
Learning Based Neural Similarity Metrics for Multimedia Data Mining. Soft Comput. 11(4): 335-340 (2007) - 2006
- [j8]Joon Shik Lim, Dianhui Wang, Yong-Soo Kim, Sudhir Gupta:
A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome. Neurocomputing 69(7-9): 969-974 (2006) - [j7]Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
A structure-based approach for multimedia information filtering. Multim. Tools Appl. 29(1): 73-89 (2006) - [c7]Dianhui Wang:
ELM-based Multiple Classifier Systems. ICARCV 2006: 1-5 - 2005
- [j6]Dianhui Wang, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
Learning similarity for semantic images classification. Neurocomputing 67: 363-368 (2005) - [j5]Dianhui Wang, Xiaohang Ma:
A Hybird Image Retrieval System with User's Relevance Feedback Using Neurocomputing. Informatica (Slovenia) 29(3): 271-280 (2005) - [j4]Dianhui Wang, Xiaohang Ma, Yong-Soo Kim:
Learning Pseudo Metric for Intelligent Multimedia Data Classification and Retrieval. J. Intell. Manuf. 16(6): 575-586 (2005) - [c6]Xiaohang Ma, Dianhui Wang:
Semantics modeling based image retrieval system using neural networks. ICIP (1) 2005: 1165-1168 - [c5]Dianhui Wang, Xiaohang Ma:
Multimedia data mining for building rule-based image retrieval systems. ICME 2005: 197-200 - 2004
- [c4]Dianhui Wang, Xiaohang Ma:
Learning Pseudo Metric for Multimedia Data Classification and Retrieval. KES 2004: 1051-1057 - 2003
- [j3]Runyi Yu, Dianhui Wang:
Structural properties and poles assignability of LTI singular systems under output feedback. Autom. 39(4): 685-692 (2003) - [j2]Runyi Yu, Dianhui Wang:
On impulsive modes of linear singular systems subject to decentralized output feedback. IEEE Trans. Autom. Control. 48(10): 1804-1809 (2003) - [c3]Yingying Wen, Ian H. Witten, Dianhui Wang:
Token Identification Using HMM and PPM Models. Australian Conference on Artificial Intelligence 2003: 173-185 - [c2]Paul Darbyshire, Dianhui Wang:
Learning to Survive: Increased Learning Rates by Communication in a Multi-agent System. Australian Conference on Artificial Intelligence 2003: 601-611 - [c1]Xiaohang Ma, Dianhui Wang:
Learning Semantic Concepts from Visual Data Using Neural Networks. DICTA 2003: 683-692 - 2002
- [j1]Runyi Yu, Dianhui Wang:
Algebraic properties of singular systems subject to decentralized output feedback. IEEE Trans. Autom. Control. 47(11): 1898-1903 (2002)
Coauthor Index
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