Yongquan Zhang

According to our database1, Yongquan Zhang authored at least 38 papers between 2009 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


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

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 Processing, 2018

A standard PHD filter for joint tracking and classification of maneuvering extended targets using random matrix.
Signal Processing, 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

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.
Information 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

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

Iterative particle filter for visual tracking.
Sig. Proc.: Image Comm., 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.
SCIENCE CHINA Information Sciences, 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

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

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

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

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. Machine Learning & Cybernetics, 2012

Estimation of convergence rate for multi-regression learning algorithm.
SCIENCE CHINA Information Sciences, 2012

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

Lower estimation of approximation rate for neural networks.
Science in China Series F: Information Sciences, 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