Yongquan Zhang

Orcid: 0000-0002-3065-7199

According to our database1, Yongquan Zhang authored at least 59 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
IEEE Trans. Cybern., February, 2024

High-Resolution Feature Pyramid Network for Small Object Detection on Drone View.
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

SolsDB: Solve the Ethereum's bottleneck caused by storage engine.
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

FedPDC: Federated Learning for Public Dataset Correction.
CoRR, 2023

Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Construction of Acylindrical Hyperbolic 3-Manifolds with Quasifuchsian Boundary.
Exp. Math., 2022

2021
Measurement transformation algorithm for extended target tracking.
Signal Process., 2021

Multiple extended target tracking by truncated JPDA in a clutter environment.
IET Signal Process., 2021

Track Estimation and Maintenance for the BP-CBMeMBer Filter.
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

Attention-over-Attention Field-Aware Factorization Machine.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Tracking multiple extended targets with multi-Bernoulli filter.
IET Signal Process., 2019

Variable Span Multistep Straightening Process for Long/Extra-Long Linear Guideways.
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

Improved Box Particle CPHD Algorithm for Group Target Tracking.
Proceedings of the 2019 International Conference on Control, 2019

A Poisson multi-Bernoulli filter with target spawning.
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

A box-particle implementation of standard PHD filter for extended target tracking.
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

Gaussian mixture particle flow probability hypothesis density filter.
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
On the Feasibility of Distributed Kernel Regression for Big Data.
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

A multi-cycled sequential memetic computing approach for constrained optimisation.
Inf. Sci., 2016

Robust Sparse Subspace Learning for unsupervised feature selection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Iterative particle filter for visual tracking.
Signal Process. Image Commun., 2015

Estimates on compressed neural networks regression.
Neural Networks, 2015

A novel extreme learning machine using privileged information.
Neurocomputing, 2015

Neural control of hypersonic flight dynamics with actuator fault and constraint.
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

Three dimensional compressive sensing in MIMO radar.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Gaussian mixture reduction based on fuzzy ART for extended target tracking.
Signal Process., 2014

Compressed classification learning with Markov chain samples.
Neural Networks, 2014

TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP.
Neurocomputing, 2014

Robust Bayesian partition for extended target Gaussian inverse Wishart PHD filter.
IET Signal Process., 2014

2013
A global difference measure for the reduction of Gaussian inverse Wishart mixtures.
Signal Process., 2013

A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter.
Signal Process., 2013

2012
Analysis of convergence performance of neural networks ranking algorithm.
Neural Networks, 2012

Learning rates of least-square regularized regression with strongly mixing observation.
Int. J. Mach. Learn. Cybern., 2012

Estimation of convergence rate for multi-regression learning algorithm.
Sci. China Inf. Sci., 2012

2011
Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing, 2011

Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math., 2011

2009
Lower estimation of approximation rate for neural networks.
Sci. China Ser. F Inf. Sci., 2009

Modeling and Optimization of Hull Building Process Based on P-TPN.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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