Yongquan Zhang
Orcid: 0000-0002-3065-7199
According to our database1,
Yongquan Zhang
authored at least 59 papers
between 2009 and 2024.
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Bibliography
2024
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
IEEE Trans. Cybern., February, 2024
IEEE Trans. Circuits Syst. Video Technol., January, 2024
A Displacement Inertial Measurement System Based on Multialgorithm Fusion for Landslide.
IEEE Trans. Instrum. Meas., 2024
Multiple Extended Target Joint Tracking and Classification Based on GPs and LMB Filter.
IEEE Signal Process. Lett., 2024
A measurement fusion algorithm of active and passive sensors based on angle association for multi-target tracking.
Inf. Fusion, 2024
Future Gener. Comput. Syst., 2024
Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Multiple extended target tracking based on gamma box particle and labeled random finite sets.
Digit. Signal Process., April, 2023
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Exp. Math., 2022
2021
Signal Process., 2021
IET Signal Process., 2021
Proceedings of the 2021 International Conference on Control, 2021
2020
A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR - Cases Studied in the Three Gorges Reservoir Area.
Sensors, 2020
Design and Testing of Inertial System for Landslide Displacement Distribution Measurement.
Sensors, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IET Signal Process., 2019
IEEE Access, 2019
A Straightness Control System for Motor Shaft Straightening with the Stroke Prediction Algorithm.
Proceedings of the 6th International Conference on Systems and Informatics, 2019
Proceedings of the 2019 International Conference on Control, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
Analytical Model of a Multi-Step Straightening Process for Linear Guideways Considering Neutral Axis Deviation.
Symmetry, 2018
Two-Degree-Of-Freedom Dynamic Model-Based Terminal Sliding Mode Control with Observer for Dual-Driving Feed Stage.
Symmetry, 2018
Dynamic Modeling and Experiment Research on Twin Ball Screw Feed System Considering the Joint Stiffness.
Symmetry, 2018
An ellipse extended target CBMeMBer filter using gamma and box-particle implementation.
Signal Process., 2018
A standard PHD filter for joint tracking and classification of maneuvering extended targets using random matrix.
Signal Process., 2018
Design and Testing of a Flexible Inclinometer Probe for Model Tests of Landslide Deep Displacement Measurement.
Sensors, 2018
A Student's T Mixture Cardinality-Balanced Multi-Target Multi-Bernoulli Filter With Heavy-Tailed Process and Measurement Noises.
IEEE Access, 2018
Deep User Modeling for Content-based Event Recommendation in Event-based Social Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
2017
Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction.
Soft Comput., 2017
Inf. Fusion, 2017
Exploiting social influence for context-aware event recommendation in event-based social networks.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the 20th International Conference on Information Fusion, 2017
An improved extended state estimation approach for maneuvering target tracking using random matrix.
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter.
Knowl. Based Syst., 2016
Inf. Sci., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Sci. China Inf. Sci., 2015
On Accelerated Gradient Approximation for Least Square Regression with L1-Regularization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Enhancing Stock Price Prediction with a Hybrid Approach Based Extreme Learning Machine.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Signal Process., 2014
TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP.
Neurocomputing, 2014
IET Signal Process., 2014
2013
Signal Process., 2013
A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter.
Signal Process., 2013
2012
Neural Networks, 2012
Learning rates of least-square regularized regression with strongly mixing observation.
Int. J. Mach. Learn. Cybern., 2012
Sci. China Inf. Sci., 2012
2011
Neurocomputing, 2011
Int. J. Comput. Math., 2011
2009
Sci. China Ser. F Inf. Sci., 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009