Dianhui Wang 0001

EDBT 2026 Demo / reviewers in the wild / expert

dblp:04/6192-1 · DBLP profile ↗

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29ranked-venue papers in the field

4as first author

10since 2021 · last 2025

0000-0002-5356-7268ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 28 (3 first)Data Mining & Knowledge Discovery · 1 (1 first)

Year	Publication	Venue	Position
2025	Robust multi-target regression with improved stochastic configuration networks and its applications Aijun Yan, Kaicheng Hu, Dianhui Wang 0001, Jian Tang 0003	Inf. Sci.	3
2024	Stochastic configuration networks with particle swarm optimisation search Matthew J. Felicetti, Dianhui Wang 0001	Inf. Sci.	2
2024	Stochastic configuration networks with improved supervisory mechanism Wei Dai 0004, Dianhui Wang 0001	Inf. Sci.	3
2024	Security concern and fuzzy output sliding mode load frequency control of power systems Siwei Qiao, Xinghua Liu 0005, Dianhui Wang 0001, Shuzhi Sam Ge	Inf. Sci.	3
2022	Federated stochastic configuration networks for distributed data analytics Wei Dai 0004, Langlong Ji, Dianhui Wang 0001	Inf. Sci.	3
2022	Deep stochastic configuration networks with optimised model and hyper-parameters Matthew J. Felicetti, Dianhui Wang 0001	Inf. Sci.	2
2022	Deep stochastic configuration networks with different random sampling strategies Matthew J. Felicetti, Dianhui Wang 0001	Inf. Sci.	2
2022	Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation Qian Zhang 0001, Dianhui Wang 0001, Wei Sun 0011, Qiyue Li 0001	Inf. Sci.	3
2022	Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants Yongfu Wang 0001, Maoxuan Wang, Dianhui Wang 0001, Yongli Chang	Inf. Sci.	3
2022	Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution Aijun Yan, Jingcheng Guo, Dianhui Wang 0001	Inf. Sci.	3
2020	Distributed stochastic configuration networks with cooperative learning paradigm Wu Ai, Dianhui Wang 0001	Inf. Sci.	2
2020	Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system Huakai Zhang, Yongfu Wang 0001, Dianhui Wang 0001, Yunlong Wang 0007	Inf. Sci.	3
2019	Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression Ming Li 0065, Changqin Huang, Dianhui Wang 0001	Inf. Sci.	3
2019	Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams Mahardhika Pratama, Dianhui Wang 0001	Inf. Sci.	2
2018	Efficient saliency detection using convolutional neural networks with feature selection Feilong Cao, Yuehua Liu, Dianhui Wang 0001	Inf. Sci.	3
2018	Handling distributed XML queries over large XML data based on MapReduce framework Hongjie Fan, Zhiyi Ma, Dianhui Wang 0001	Inf. Sci.	3
2018	Type theory based semantic verification for service composition in cloud computing environments Changqin Huang, Dianhui Wang 0001	Inf. Sci.	3
2018	A comprehensive survey on genetic algorithms for DNA motif prediction Nung Kion Lee, Dianhui Wang 0001	Inf. Sci.	3
2017	Real-time optimal control of tracking running for high-speed electric multiple unit Yating Fu, Hui Yang 0005, Dianhui Wang 0001	Inf. Sci.	3
2017	Insights into randomized algorithms for neural networks: Practical issues and common pitfalls Ming Li 0065, Dianhui Wang 0001	Inf. Sci.	2
2017	Robust stochastic configuration networks with kernel density estimation for uncertain data regression Dianhui Wang 0001, Ming Li 0065	Inf. Sci.	1
2016	An iterative learning algorithm for feedforward neural networks with random weights Feilong Cao, Dianhui Wang 0001, Houying Zhu, Yu Guang Wang 0001	Inf. Sci.	2
2016	High dimensional data regression using Lasso model and neural networks with random weights Caihao Cui, Dianhui Wang 0001	Inf. Sci.	2
2016	Editorial: Randomized algorithms for training neural networks Dianhui Wang 0001	Inf. Sci.	1
2015	A probabilistic learning algorithm for robust modeling using neural networks with random weights Feilong Cao, Hailiang Ye, Dianhui Wang 0001	Inf. Sci.	3
2015	An improved multi-source based soft sensor for measuring cement free lime content Dianhui Wang 0001, Tianyou Chai	Inf. Sci.	2
2015	Distributed learning for Random Vector Functional-Link networks Simone Scardapane, Dianhui Wang 0001, Massimo Panella, Aurelio Uncini	Inf. Sci.	2
2014	Special issue: Data-driven fault diagnosis of industrial systems Dianhui Wang 0001, Zhihong Man	Inf. Sci.	1
2008	Computational Discovery of Motifs Using Hierarchical Clustering Techniques abstract Discovery of motifs plays a key role in understanding gene regulation in organisms. Existing tools for motif discovery demonstrate some weaknesses in dealing with reliability and scalability. Therefore, development of advanced algorithms for resolving this problem will be useful. This paper aims to develop data mining techniques for discovering motifs. A mismatch based hierarchical clustering algorithm is proposed in this paper, where three heuristic rules for classifying clusters and a post-processing for ranking and refining the clusters are employed in the algorithm. Our algorithm is evaluated using two sets of DNA sequences with comparisons. Results demonstrate that the proposed techniques in this paper outperform MEME, AlignACE and SOMBRERO for most of the testing datasets. Dianhui Wang 0001, Nung Kion Lee	ICDM	1