Dongqing Wang
Orcid: 0000-0001-8856-4289
According to our database1,
Dongqing Wang
authored at least 69 papers
between 2006 and 2023.
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Bibliography
2023
Greedy Search Method for Separable Nonlinear Models Using Stage Aitken Gradient Descent and Least Squares Algorithms.
IEEE Trans. Autom. Control., August, 2023
The Auto-Correlation Function Aided Sparse Support Matrix Machine for EEG-Based Fatigue Detection.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023
Vis. Comput., 2023
CoRR, 2023
An Auxiliary Classifier Generative Adversarial Network Based Fault Diagnosis for Analog Circuit.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods.
IEEE Trans. Ind. Informatics, 2022
Proceedings of the Interspeech 2022, 2022
2021
Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential.
IEEE Trans. Cybern., 2021
Applying learning analytics dashboards based on process-oriented feedback to improve students' learning effectiveness.
J. Comput. Assist. Learn., 2021
Dynamic analysis and chaos control of the switched-inductor boost converter with the memristive load.
Int. J. Circuit Theory Appl., 2021
More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine.
Eng. Appl. Artif. Intell., 2021
Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
IEEE Trans. Ind. Informatics, 2020
An interactive maximum likelihood estimation method for multivariable Hammerstein systems.
J. Frankl. Inst., 2020
IEEE Access, 2020
2019
Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method.
J. Comput. Appl. Math., 2019
Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack.
CoRR, 2019
A User Attribute Recommendation Algorithm and Peer3D Technology based WebVR P2P Transmission Scheme.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019
2018
Symmetry, 2018
Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset.
Symmetry, 2018
Int. J. Syst. Sci., 2018
Complex., 2018
Complex., 2018
IEEE Access, 2018
Decoupled Parameter Estimation Methods for Hammerstein Systems by Using Filtering Technique.
IEEE Access, 2018
Image Exposure Assessment: A Benchmark and a Deep Convolutional Neural Networks Based Model.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018
Blind Channel Direction Separation Against Pilot Spoofing Attack in Massive MIMO System.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
EMG-Torque Relation in Chronic Stroke: A Novel EMG Complexity Representation With a Linear Electrode Array.
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Cybern., 2017
FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
An Information Security Evaluation Method Based on Entropy Theory and Improved TOPSIS.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems.
Proceedings of the 2017 American Control Conference, 2017
2016
Inf. Sci., 2016
Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system.
IMA J. Math. Control. Inf., 2016
Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models.
Appl. Math. Lett., 2016
2015
IEEE Trans. Control. Syst. Technol., 2015
Improved least squares identification algorithm for multivariable Hammerstein systems.
J. Frankl. Inst., 2015
A problem solving oriented intelligent tutoring system to improve students' acquisition of basic computer skills.
Comput. Educ., 2015
Identification of Dual-Rate Sampled Hammerstein Systems with a Piecewise-Linear Nonlinearity Using the Key Variable Separation Technique.
Algorithms, 2015
2014
Application of wavelet packet transform on myoelectric pattern recognition for upper limb rehabilitation after stroke.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Nucleic Acids Res., 2013
Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle.
Inf. Sci., 2013
Classroom Assessment and Analysis System: Using Tablet PCs and Cloud Computing to Improve Effectiveness of Classroom Assessment.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013
2012
IEEE Signal Process. Lett., 2012
Iterative Parameter Estimation for a Class of Multivariable Systems Based on the Hierarchical Identification Principle and the Gradient Search.
Circuits Syst. Signal Process., 2012
Blind extraction algorithm of the harmonic signal based on the steady-state point capture in lorenz energy accumulation area.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012
2011
Least squares based and gradient based iterative identification for Wiener nonlinear systems.
Signal Process., 2011
Gradient-based iterative parameter identification for multi-input multi-output OEMA-like models.
Proceedings of the American Control Conference, 2011
2010
Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems.
Math. Comput. Model., 2010
J. Frankl. Inst., 2010
Input-output data filtering based recursive least squares identification for CARARMA systems.
Digit. Signal Process., 2010
Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems.
Digit. Signal Process., 2010
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data.
Digit. Signal Process., 2010
Comput. Math. Appl., 2010
Comput. Math. Appl., 2010
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
2009
Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Identification methods for Wiener nonlinear systems based on the least squares and gradient iterations.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Multi-innovation stochastic gradient algorithm for output error systems based on the auxiliary model.
Proceedings of the American Control Conference, 2009
On the residual based stochastic gradient algorithm for dual-rate sampled-data systems using the polynomial transform technique.
Proceedings of the American Control Conference, 2009
2008
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems.
Comput. Math. Appl., 2008
The Emergent Patterns of Artificial Ant Colony's Collective Behavior in Gray-Scale Images for Feature Extraction.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Parallel Model Predictive Control of Nonlinear Time-delay Systems Based on Recurrent Neural Network.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Extended Stochastic Gradient Algorithms for System Modeling Based on the Auxiliary Model.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
2006
Proceedings of the American Control Conference, 2006