Dianhui Wang

169 papers A* 1B 7C 3Misc 1Journal 135Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast building of stochastic configuration networks for big data analytics.
Eng. Appl. Artif. Intell.
Sergei Romanov, Dianhui Wang, Dmitry I. Kaplun
2026 J jnl
Theoretical Advances on Stochastic Configuration Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xiufeng Yan, Dianhui Wang, Ivan Yu. Tyukin
2025 J jnl
An Improved Fuzzy Recurrent Stochastic Configuration Network for Modeling Nonlinear Systems.
IEEE Trans. Fuzzy Syst.
Gang Dang, Dianhui Wang
2025 J jnl
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems.
IEEE Trans Autom. Sci. Eng.
Gang Dang, Dianhui Wang
2025 J jnl
Fuzzy Kernel Stochastic Configuration Networks for Industrial Data Modeling.
IEEE Trans. Fuzzy Syst.
Yongxuan Chen, Dianhui Wang
2025 J jnl
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics.
IEEE Trans. Fuzzy Syst.
Dianhui Wang, Gang Dang
2025 J jnl
Granular stochastic configuration networks for uncertain data modeling.
Knowl. Based Syst.
Yuanhang Qiu, Dianhui Wang
2025 Misc conf
Graph Embedded Stochastic Configuration Networks for Imbalanced Data Classification.
ICASSP
Yuanhang Qiu, Dianhui Wang
2025 J jnl
Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks.
CoRR
Weitao Li, Xinru Zhang, Dianhui Wang, Qianqian Tong, Tianyou Chai
2025 J jnl
Kernel Stochastic Configuration Networks for Industrial Data Regression.
IEEE Trans. Ind. Informatics
Yongxuan Chen, Dianhui Wang
2025 J jnl
Online Self-Learning Fuzzy Recurrent Stochastic Configuration Networks for Modeling Nonstationary Dynamics.
IEEE Trans. Fuzzy Syst.
Gang Dang, Dianhui Wang
2025 J jnl
Robust multi-target regression with improved stochastic configuration networks and its applications.
Inf. Sci.
Aijun Yan, Kaicheng Hu, Dianhui Wang, Jian Tang
2025 J jnl
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modeling.
IEEE Trans. Ind. Informatics
Gang Dang, Dianhui Wang
2024 J jnl
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems.
Eng. Appl. Artif. Intell.
Yongfu Wang, Yan Liu, Jinliang Ding, Dianhui Wang
2024 J jnl
An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling.
IEEE Trans. Ind. Informatics
Yongxuan Chen, Dianhui Wang
2024 J jnl
An empirical study on prediction of seismic activity using stochastic configuration networks.
Neural Comput. Appl.
Yuanhang Qiu, Dianhui Wang
2024 J jnl
Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration.
IEEE Trans. Artif. Intell.
Bangji Fan, Xinghua Liu, Gaoxi Xiao, Yu Kang, Dianhui Wang, Peng Wang
2024 J jnl
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems.
CoRR
Gang Dang, Dianhui Wang
2024 — conf
Effective Hardware Implementation of Convolution with Binary Sequences.
MECO
Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun
2024 J jnl
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics.
CoRR
Dianhui Wang, Gang Dang
2024 J jnl
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling.
IEEE Trans. Fuzzy Syst.
Kang Li, Junfei Qiao, Dianhui Wang
2024 J jnl
Kernel Stochastic Configuration Networks for Nonlinear Regression.
CoRR
Yongxuan Chen, Dianhui Wang
2024 — conf
Lightweight Stochastic Configuration Networks.
SDS
Dianhui Wang, Matthew J. Felicetti
2024 J jnl
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis.
IEEE Trans. Ind. Informatics
Kang Li, Junfei Qiao, Dianhui Wang
2024 J jnl
Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks.
IEEE Trans. Ind. Informatics
Dianhui Wang, Pengxin Tian, Wei Dai, Gang Yu
2024 J jnl
Recurrent Stochastic Configuration Networks for Temporal Data Analytics.
CoRR
Dianhui Wang, Gang Dang
2024 J jnl
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling.
CoRR
Gang Dang, Dianhui Wang
2024 J jnl
Security concern and fuzzy output sliding mode load frequency control of power systems.
Inf. Sci.
Siwei Qiao, Xinghua Liu, Dianhui Wang, Shuzhi Sam Ge
2024 J jnl
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling.
CoRR
Gang Dang, Dianhui Wang
2024 J jnl
Stochastic configuration networks with improved supervisory mechanism.
Inf. Sci.
Jing Nan, Wei Dai, Dianhui Wang
2024 J jnl
Stochastic configuration networks with particle swarm optimisation search.
Inf. Sci.
Matthew J. Felicetti, Dianhui Wang
2023 J jnl
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks.
Neural Comput. Appl.
Wenhua Jiao, Ruilin Li, Jianguo Wang, Dianhui Wang, Kuan Zhang
2023 J jnl
Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity.
IEEE Trans. Intell. Transp. Syst.
Yongfu Wang, Bingxin Ma, Dianhui Wang, Tianyou Chai
2023 J jnl
Stochastic Configuration Machines for Industrial Artificial Intelligence.
CoRR
Dianhui Wang, Matthew J. Felicetti
2023 J jnl
Stochastic Configuration Machines: FPGA Implementation.
CoRR
Matthew J. Felicetti, Dianhui Wang
2023 J jnl
Stochastic configuration networks for adaptive inverse dynamics modeling.
Int. J. Mach. Learn. Cybern.
Gang Dang, Dianhui Wang
2022 J jnl
Deep stochastic configuration networks with different random sampling strategies.
Inf. Sci.
Matthew J. Felicetti, Dianhui Wang
2022 J jnl
Deep stochastic configuration networks with optimised model and hyper-parameters.
Inf. Sci.
Matthew J. Felicetti, Dianhui Wang
2022 J jnl
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing.
IEEE Trans. Cybern.
Jia Chen, Ming Zhong, Jianxin Li, Dianhui Wang, Tieyun Qian, Hang Tu
2022 J jnl
Federated stochastic configuration networks for distributed data analytics.
Inf. Sci.
Wei Dai, Langlong Ji, Dianhui Wang
2022 J jnl
Graph convolutional autoencoders with co-learning of graph structure and node attributes.
Pattern Recognit.
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
2022 J jnl
Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process.
Neural Comput. Appl.
Aijun Yan, Jingcheng Guo, Dianhui Wang
2022 J jnl
Incomplete multi-view clustering via local and global co-regularization.
Sci. China Inf. Sci.
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
2022 J jnl
Industrial data classification using stochastic configuration networks with self-attention learning features.
Neural Comput. Appl.
Weitao Li, Yali Deng, Meishuang Ding, Dianhui Wang, Wei Sun, Qiyue Li
2022 J jnl
Multiview Spectral Clustering via Robust Subspace Segmentation.
IEEE Trans. Cybern.
Yan Pan, Chang-Qin Huang, Dianhui Wang
2022 J jnl
Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems.
IEEE Trans. Fuzzy Syst.
Yongfu Wang, Yunlong Wang, Dianhui Wang, Tianyou Chai
2022 J jnl
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance.
Eng. Appl. Artif. Intell.
Yongfu Wang, Gang Luo, Dianhui Wang
2022 J jnl
Performance of soft sensors based on stochastic configuration networks with nonnegative garrote.
Neural Comput. Appl.
Pengxin Tian, Kai Sun, Dianhui Wang
2022 J jnl
Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution.
Inf. Sci.
Aijun Yan, Jingcheng Guo, Dianhui Wang
2022 J jnl
Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants.
Inf. Sci.
Yongfu Wang, Maoxuan Wang, Dianhui Wang, Yongli Chang
2022 J jnl
Stochastic configuration networks for imbalanced data classification.
Int. J. Mach. Learn. Cybern.
Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang
2022 J jnl
Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation.
Inf. Sci.
Weitao Li, Qian Zhang, Dianhui Wang, Wei Sun, Qiyue Li
2021 J jnl
2-D Stochastic Configuration Networks for Image Data Analytics.
IEEE Trans. Cybern.
Ming Li, Dianhui Wang
2021 J jnl
Data mining for energy systems: Review and prospect.
WIREs Data Mining Knowl. Discov.
Wenxuan Liu, Junhua Zhao, Dianhui Wang
2021 J jnl
Robust speed prediction of high-speed trains based on improved echo state networks.
Neural Comput. Appl.
Hongen Liu, Hui Yang, Dianhui Wang
2021 J jnl
Stochastic configuration network ensembles with selective base models.
Neural Networks
Changqin Huang, Ming Li, Dianhui Wang
2020 J jnl
A hybrid regularization approach for random vector functional-link networks.
Expert Syst. Appl.
Hailiang Ye, Feilong Cao, Dianhui Wang
2020 J jnl
Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system.
Inf. Sci.
Huakai Zhang, Yongfu Wang, Dianhui Wang, Yunlong Wang
2020 J jnl
Distributed stochastic configuration networks with cooperative learning paradigm.
Inf. Sci.
Wu Ai, Dianhui Wang
2020 J jnl
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.
IEEE Trans. Ind. Informatics
Changqin Huang, Qionghao Huang, Dianhui Wang
2019 J jnl
Asymptotic state estimation for linear systems with sensor and actuator faults.
Sci. China Inf. Sci.
Chun-Hua Xie, Hui Yang, Dianhui Wang, Zhe Li
2019 J jnl
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams.
Inf. Sci.
Mahardhika Pratama, Dianhui Wang
2019 J jnl
Enhancing semantic image retrieval with limited labeled examples via deep learning.
Knowl. Based Syst.
Haijiao Xu, Changqin Huang, Dianhui Wang
2019 J jnl
Fuzzy rule-based models with randomized development mechanisms.
Fuzzy Sets Syst.
Xingchen Hu, Witold Pedrycz, Dianhui Wang
2019 J jnl
Improved randomized learning algorithms for imbalanced and noisy educational data classification.
Computing
Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang
2019 J jnl
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression.
Inf. Sci.
Ming Li, Changqin Huang, Dianhui Wang
2018 J jnl
A comprehensive survey on genetic algorithms for DNA motif prediction.
Inf. Sci.
Nung Kion Lee, Xi Li, Dianhui Wang
2018 J jnl
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling.
IEEE Trans. Cybern.
Simone Scardapane, Dianhui Wang, Aurelio Uncini
2018 J jnl
Building feedforward neural networks with random weights for large scale datasets.
Expert Syst. Appl.
Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li
2018 J jnl
Construction of prediction intervals using adaptive neurofuzzy inference systems.
Appl. Soft Comput.
Bara Miskony, Dianhui Wang
2018 J jnl
Data-Driven PID Controller and Its Application to Pulp Neutralization Process.
IEEE Trans. Control. Syst. Technol.
Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu
2018 J jnl
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams.
CoRR
Mahardhika Pratama, Dianhui Wang
2018 B conf
Deep Stochastic Configuration Networks with Universal Approximation Property.
IJCNN
Dianhui Wang, Ming Li
2018 J jnl
Efficient saliency detection using convolutional neural networks with feature selection.
Inf. Sci.
Feilong Cao, Yuehua Liu, Dianhui Wang
2018 J jnl
Handling distributed XML queries over large XML data based on MapReduce framework.
Inf. Sci.
Hongjie Fan, Zhiyi Ma, Dianhui Wang, Junfei Liu
2018 J jnl
Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit.
IEEE Trans. Fuzzy Syst.
Hui Yang, Yating Fu, Dianhui Wang
2018 J jnl
New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality.
IEEE Trans. Ind. Informatics
Feisheng Yang, Jing He, Dianhui Wang
2018 J jnl
Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst.
Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen
2018 J jnl
Two Dimensional Stochastic Configuration Networks for Image Data Analytics.
CoRR
Ming Li, Dianhui Wang
2018 J jnl
Type theory based semantic verification for service composition in cloud computing environments.
Inf. Sci.
Changqin Huang, Xizhe Wang, Dianhui Wang
2018 J jnl
Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design.
IEEE Trans. Syst. Man Cybern. Syst.
Yajun Zhang, Tianyou Chai, Dianhui Wang, Xinkai Chen
2017 — conf
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble.
ICONIP (4)
Bara Miskony, Dianhui Wang
2017 J jnl
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst.
Yajun Zhang, Tianyou Chai, Dianhui Wang
2017 J jnl
An improved algorithm for building self-organizing feedforward neural networks.
Neurocomputing
Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang
2017 J jnl
Building Robust Stochastic Configuration Networks with Kernel Density Estimation.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Case-based reasoning classifier based on learning pseudo metric retrieval.
Expert Syst. Appl.
Aijun Yan, Hang Yu, Dianhui Wang
2017 J jnl
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls.
Inf. Sci.
Ming Li, Dianhui Wang
2017 J jnl
Online real-time learning strategies for data streams for Neurocomputing.
Neurocomputing
Mahardhika Pratama, Edwin Lughofer, Dianhui Wang
2017 J jnl
Randomness in neural networks: an overview.
WIREs Data Mining Knowl. Discov.
Simone Scardapane, Dianhui Wang
2017 J jnl
Real-time optimal control of tracking running for high-speed electric multiple unit.
Inf. Sci.
Yating Fu, Hui Yang, Dianhui Wang
2017 J jnl
Robust stochastic configuration networks with kernel density estimation for uncertain data regression.
Inf. Sci.
Dianhui Wang, Ming Li
2017 J jnl
Stochastic Configuration Networks: Fundamentals and Algorithms.
CoRR
Dianhui Wang, Ming Li
2017 J jnl
Stochastic Configuration Networks: Fundamentals and Algorithms.
IEEE Trans. Cybern.
Dianhui Wang, Ming Li
2016 J jnl
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps.
IEEE Trans. Neural Networks Learn. Syst.
Sarwar Tapan, Dianhui Wang
2016 J jnl
A decentralized training algorithm for Echo State Networks in distributed big data applications.
Neural Networks
Simone Scardapane, Dianhui Wang, Massimo Panella
2016 J jnl
An iterative learning algorithm for feedforward neural networks with random weights.
Inf. Sci.
Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
2016 J jnl
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System.
IEEE Trans. Neural Networks Learn. Syst.
Yan Xu, Rui Zhang, Junhua Zhao, Zhao Yang Dong, Dianhui Wang, Hongming Yang, Kit Po Wong
2016 J jnl
Editorial: Randomized algorithms for training neural networks.
Inf. Sci.
Dianhui Wang
2016 J jnl
High dimensional data regression using Lasso model and neural networks with random weights.
Inf. Sci.
Caihao Cui, Dianhui Wang
2016 J jnl
Industrial image classification using a randomized neural-net ensemble and feedback mechanism.
Neurocomputing
Weitao Li, Keqiong Chen, Dianhui Wang
2015 J jnl
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression.
Neurocomputing
Xiaojie Zhou, Dianhui Wang, Zhugui Shao
2015 J jnl
A probabilistic learning algorithm for robust modeling using neural networks with random weights.
Inf. Sci.
Feilong Cao, Hailiang Ye, Dianhui Wang
2015 J jnl
An improved multi-source based soft sensor for measuring cement free lime content.
Inf. Sci.
Weitao Li, Dianhui Wang, Xiaojie Zhou, Tianyou Chai
2015 J jnl
Distributed learning for Random Vector Functional-Link networks.
Inf. Sci.
Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015 B conf
Distributed music classification using Random Vector Functional-Link nets.
IJCNN
Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015 J jnl
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis.
Neurocomputing
Dianhui Wang, Wen Yu, Tianyou Chai
2015 J jnl
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes.
IEEE Trans. Syst. Man Cybern. Syst.
Weitao Li, Dianhui Wang, Tianyou Chai
2015 J jnl
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers.
Expert Syst. Appl.
Aijun Yan, Dianhui Wang
2014 J jnl
Introduction to the special issue on fault diagnosis and prognosis for engineering systems.
Comput. Electr. Eng.
Zhihong Man, Dianhui Wang
2014 J jnl
Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay.
J. Frankl. Inst.
Feisheng Yang, Shouping Guan, Dianhui Wang
2014 J jnl
Special issue: Data-driven fault diagnosis of industrial systems.
Inf. Sci.
Dianhui Wang, Zhihong Man
2013 J jnl
Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques.
Expert Syst. Appl.
Yongfu Wang, Dianhui Wang, Tianyou Chai
2013 J jnl
Advances in Extreme Learning Machines (ELM2011).
Neurocomputing
Guang-Bin Huang, Dianhui Wang
2013 J jnl
An optimal weight learning machine for handwritten digit image recognition.
Signal Process.
Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo
2013 J jnl
Burning state recognition of rotary kiln using ELMs with heterogeneous features.
Neurocomputing
Weitao Li, Dianhui Wang, Tianyou Chai
2013 J jnl
Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis.
Neural Comput. Appl.
Kevin Lee, Zhihong Man, Dianhui Wang, Zhenwei Cao
2013 J jnl
Estimation of effluent quality using PLS-based extreme learning machines.
Neural Comput. Appl.
Lijie Zhao, Dianhui Wang, Tianyou Chai
2012 J jnl
Computational localization of transcription factor binding sites using extreme learning machines.
Soft Comput.
Dianhui Wang, Hai Thanh Do
2012 J jnl
Editorial.
Soft Comput.
Xi-Zhao Wang, Dianhui Wang, Guang-Bin Huang
2012 J jnl
Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral.
IEEE Trans. Ind. Informatics
Weitao Li, Dianhui Wang, Tianyou Chai
2012 J jnl
Fuzzy Approach for Semantic Face Image Retrieval.
Comput. J.
Paul C. Conilione, Dianhui Wang
2012 J jnl
Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang
2012 J jnl
Machine learning approach for face image retrieval.
Neural Comput. Appl.
Dianhui Wang, Paul C. Conilione
2012 J jnl
Predicting mill load using partial least squares and extreme learning machines.
Soft Comput.
Jian Tang, Dianhui Wang, Tianyou Chai
2012 J jnl
Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier.
IEEE Trans. Neural Networks Learn. Syst.
Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo
2011 J jnl
A new robust training algorithm for a class of single-hidden layer feedforward neural networks.
Neurocomputing
Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao
2011 J jnl
Advances in extreme learning machines (ELM2010).
Neurocomputing
Guang-Bin Huang, Dianhui Wang
2011 J jnl
Automatic localization and annotation of facial features using machine learning techniques.
Soft Comput.
Paul C. Conilione, Dianhui Wang
2011 J jnl
Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation.
IEEE Trans. Fuzzy Syst.
Yongfu Wang, Dianhui Wang, Tianyou Chai
2011 J jnl
Extreme learning machines: a survey.
Int. J. Mach. Learn. Cybern.
Guang-Bin Huang, Dianhui Wang, Yuan Lan
2011 J jnl
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function.
Neurocomputing
Hongming Yang, Wenjun Xu, Junhua Zhao, Dianhui Wang, Zhaoyang Dong
2011 J jnl
SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model.
BMC Bioinform.
Nung Kion Lee, Dianhui Wang
2010 — conf
Mining Regulatory Elements in Non-coding Regions of
CSBio
Xi Li, Dianhui Wang
2010 — conf
SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps.
ICONIP (2)
Nung Kion Lee, Dianhui Wang
2010 — conf
iGAPK: Improved GAPK Algorithm for Regulatory DNA Motif Discovery.
ICONIP (2)
Dianhui Wang, Xi Li
2009 — conf
Overlap-Based Similarity Metrics for Motif Search in DNA Sequences.
ICONIP (2)
Hai Thanh Do, Dianhui Wang
2008 J jnl
A Hopfield neural network approach for power optimization of real-time operating systems.
Neural Comput. Appl.
Bing Guo, Dianhui Wang, Yan Shen, Zhishu Li
2008 — conf
An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information.
ICONIP (1)
Xi Li, Dianhui Wang
2008 A* conf
Computational Discovery of Motifs Using Hierarchical Clustering Techniques.
ICDM
Dianhui Wang, Nung Kion Lee
2008 — conf
Intelligent Face Image Retrieval Using Eigenpaxels and Learning Similarity Metrics.
ICONIP (2)
Paul C. Conilione, Dianhui Wang
2008 — conf
MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection.
ICONIP (1)
Dianhui Wang, Nung Kion Lee
2006 J jnl
Extraction of classification rules characterized by ellipsoidal regions using soft-computing techniques.
Int. J. Syst. Sci.
Dianhui Wang, Tharam S. Dillon
2006 J jnl
Hardware-software partitioning of real-time operating systems using Hopfield neural networks.
Neurocomputing
Bing Guo, Dianhui Wang, Yan Shen, Zhong Liu
2006 — conf
Neurocomputing for Minimizing Energy Consumption of Real-Time Operating System in the System-on-a-Chip.
ICONIP (3)
Bing Guo, Dianhui Wang, Yan Shen, Zhishu Li
2005 — conf
E-Coli Promoter Recognition Using Neural Networks with Feature Selection.
ICIC (2)
Paul C. Conilione, Dianhui Wang
2005 B conf
Effect of non-target examples on E.coli promoters recognition using neural networks.
IJCNN
Paul C. Conilione, Dianhui Wang
2005 — conf
Neural Classification of E.coli Promoters Using Selected DNA Profiles.
WSTST
Paul C. Conilione, Dianhui Wang
2005 B conf
Protein sequence classification using extreme learning machine.
IJCNN
Dianhui Wang, Guang-Bin Huang
2004 — conf
SVM Classification for Discriminating Cardiovascular Disease Patients from Non-cardiovascular Disease Controls Using Pulse Waveform Variability Analysis.
Australian Conference on Artificial Intelligence
Kuanquan Wang, Lu Wang, Dianhui Wang, Lisheng Xu
2003 C conf
A Software Engineering Approach to Develop Adaptive RBF Neural Networks.
HIS
Alex Talevski, Elizabeth Chang, Dianhui Wang, Tharam S. Dillon
2003 B conf
Data mining for building neural protein sequence classification systems with improved performance.
IJCNN
Dianhui Wang, Nung Kion Lee, Tharam S. Dillon
2003 B conf
Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks.
IJCNN
Dianhui Wang, Alex Talevski, Tharam S. Dillon
2003 — conf
Realization of Generalized RBF Network.
CITA
Nung Kion Lee, Dianhui Wang
2003 — conf
Robustness for Evaluating Rule?s Generalization Capability in Data Mining.
Australian Conference on Artificial Intelligence
Dianhui Wang, Tharam S. Dillon, Xiaohang Ma
2003 — conf
Selection of Parameters in Building Fuzzy Decision Trees.
Australian Conference on Artificial Intelligence
Xizhao Wang, Minghua Zhao, Dianhui Wang
2002 — conf
Protein Sequences Classification Using Modular RBF Neural Networks.
Australian Joint Conference on Artificial Intelligence
Dianhui Wang, Nung Kion Lee, Tharam S. Dillon, Nicholas J. Hoogenraad
2002 — conf
Theoretical Foundation for Nonlinear Edge-Preserving Regularized Learning Image Restoration.
Australian Joint Conference on Artificial Intelligence
Dianhui Wang, Tharam S. Dillon
2002 C conf
Trading off between Misclassification, Recognition and Generalization in Data Mining with Continuous Features.
IEA/AIE
Dianhui Wang, Tharam S. Dillon, Elizabeth Chang
2001 C conf
An Adaptive Buffer Management Algorithm for Enhancing Dependability and Performance in Mobile-Object-Based Real-Time Computing .
ISORC
May T. W. Ip, Wilfred W. K. Lin, Allan K. Y. Wong, Tharam S. Dillon, Dianhui Wang
2001 J jnl
An Edge-Preserving Image Reconstruction Using Neural Network.
J. Math. Imaging Vis.
Paul Bao, Dianhui Wang
2001 — conf
Design and analysis of one-step-ahead adaptive neural predictive controller.
CIRA
Dianhui Wang, Tharam S. Dillon, Allan K. Y. Wong
2001 J jnl
Edge-preserved neural network model for image restoration.
J. Electronic Imaging
Paul Bao, Dianhui Wang
2001 — conf
Extraction and optimization of classification rules for continuous or mixed-mode data using neural nets.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Dianhui Wang, Tharam S. Dillon
2001 B conf
Heuristic Rule Based Neuro-Fuzzy Approach for Adaptive Buffer Management for Internet-based Computing.
FUZZ-IEEE
Dianhui Wang, Allan K. Y. Wong, Tharam S. Dillon
2000 J jnl
Enhancing the estimation of plant Jacobian for adaptive neural inverse control.
Neurocomputing
Dianhui Wang, Paul Bao
2000 J jnl
Robust impulse control of uncertain singular systems by decentralized output feedback.
IEEE Trans. Autom. Control.
Dianhui Wang, Paul Bao
2000 J jnl
Robust impulse control of uncertain singular systems by decentralized output feedback.
IEEE Trans. Autom. Control.
Dianhui Wang, Paul Bao
1999 — conf
Edge-preserving neural network model for image restoration.
ISSPA
Paul Bao, Dianhui Wang