Yongquan Zhang

发表

Interpolation and rates of convergence for a class of neural networks

Feilong Cao, Ze-Rong He, Yongquan Zhang, 2009 .

Smale’s mean value conjecture for finite Blaschke products

Yongquan Zhang, T. Ng, 2016, The Journal of Analysis.

Estimates of learning rates of regularized regression via polyline functions

Joonwhoan Lee, F. Cao, Yongquan Zhang, 2012 .

A robust Poisson multi-Bernoulli filter for multi-target tracking based on arithmetic average fusion

H. Ji, Yongquan Zhang, Z. Su, 2022, Chinese Journal of Aeronautics.

Tracking of maneuvering non-ellipsoidal extended target with varying number of sub-objects

Hongbing Ji, Yongquan Zhang, H. Ji, 2018 .

On stochastic accelerated gradient with non-strongly convexity

Dongyin Wang, Yongquan Zhang, Yi Cheng, 2021, AIMS Mathematics.

A Student’s T Mixture Cardinality-Balanced Multi-Target Multi-Bernoulli Filter With Heavy-Tailed Process and Measurement Noises

Hongbing Ji, Yongquan Zhang, Xiaolong Hu, 2018, IEEE Access.

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

Qi Hu, Hongbing Ji, Yongquan Zhang, 2017, Inf. Fusion.

Analysis of convergence performance of neural networks ranking algorithm

Feilong Cao, Yongquan Zhang, F. Cao, 2012, Neural Networks.

An ellipse extended target CBMeMBer filter using gamma and box-particle implementation

Xinbo Gao, Qi Hu, Hongbing Ji, 2018, Signal Process..

A fast ellipse extended target PHD filter using box-particle implementation

Qi Hu, Hongbing Ji, Yongquan Zhang, 2018 .

A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter

Hongbing Ji, Yongquan Zhang, H. Ji, 2016, Knowl. Based Syst..

Robust Bayesian partition for extended target Gaussian inverse Wishart PHD filter

Hongbing Ji, Yongquan Zhang, H. Ji, 2014, IET Signal Process..

Gaussian mixture reduction based on fuzzy ART for extended target tracking

Hongbing Ji, Yongquan Zhang, H. Ji, 2014, Signal Process..

Clustering Gaussian mixture reduction algorithm based on fuzzy adaptive resonance theory for extended target tracking

Hongbing Ji, Yongquan Zhang, H. Ji, 2014 .

TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP

Hongbing Ji, Wenbo Zhang, Yongquan Zhang, 2014, Neurocomputing.

A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter

Hongbing Ji, Yongquan Zhang, H. Ji, 2013, Signal Process..

Multiple extended target tracking based on gamma box particle and labeled random finite sets

Yongquan Zhang, Xuan Cheng, Hongbing Ji, 2022, Digit. Signal Process..

Data association for extended target tracking by BP

Hongbing Ji, Yongquan Zhang, Zhenzhen Su, 2018, IET Radar, Sonar & Navigation.

Iterative particle filter for visual tracking

Hongbing Ji, Yongquan Zhang, Zhenhua Fan, 2015, Signal Process. Image Commun..

Estimation of convergence rate for multi-regression learning algorithm

Zongben Xu, Feilong Cao, Yongquan Zhang, 2012, Science China Information Sciences.

Lower estimation of approximation rate for neural networks

Zongben Xu, Feilong Cao, Yongquan Zhang, 2009, Science in China Series F: Information Sciences.

A multi-cycled sequential memetic computing approach for constrained optimisation

Jonathan M. Garibaldi, Jianyong Sun, Yongquan Zhang, 2016, Inf. Sci..

Loopy belief propagation based data association for extended target tracking

Yongquan Zhang, Hongbing Ji, Zhenzhen Su, 2020 .

Optimal rate of the regularized regression learning algorithm

Zongben Xu, Feilong Cao, Yongquan Zhang, 2011, Int. J. Comput. Math..

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

Qi Hu, Hongbing Ji, Yongquan Zhang, 2018, Signal Process..

Galois groups of enumerative problems

Yongquan Zhang, 2019 .

Estimation of convergence rate for multi-regression learning algorithm

Zongben Xu, F. Cao, Yongquan Zhang, 2012, Science China Information Sciences.

Learning rates of least-square regularized regression with strongly mixing observation

Yongquan Zhang, F. Cao, Canwei Yan, 2011, International Journal of Machine Learning and Cybernetics.

Elementary planes in the Apollonian orbifold

Yongquan Zhang, 2021, 2111.10277.

On stochastic accelerated gradient with convergence rate

Yongquan Zhang, Yi Cheng, Xingxing Zha, 2022, Open Mathematics.

Existence of an exotic plane in an acylindrical 3-manifold

Yongquan Zhang, 2021, 2101.08956.

Construction of Acylindrical Hyperbolic 3-Manifolds with Quasifuchsian Boundary

Yongquan Zhang, 2020, Exp. Math..

Compressed classification learning with Markov chain samples

Feilong Cao, Tenghui Dai, Yongquan Zhang, 2014, Neural Networks.

Online multi-target intelligent tracking using a deep long-short term memory network

Yongquan Zhang, Z. Su, Hongbing Ji, 2023, Chinese Journal of Aeronautics.

Estimates on compressed neural networks regression

Jianyong Sun, Yongquan Zhang, Youmei Li, 2015, Neural Networks.

A Poisson multi-Bernoulli mixture filter with spawning based on Kullback–Leibler divergence minimization

H. Ji, Yongquan Zhang, Z. Su, 2021 .

An improved extended state estimation approach for maneuvering target tracking using random matrix

Qi Hu, Hongbing Ji, Yongquan Zhang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Gaussian mixture particle flow probability hypothesis density filter

Hongbing Ji, Yongquan Zhang, Mingjie Wang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

On the Feasibility of Distributed Kernel Regression for Big Data

Xindong Wu, Runze Li, Chen Xu, 2015, IEEE Transactions on Knowledge and Data Engineering.

Train tracks, entropy, and the halo of a measured lamination

Yongquan Zhang, Tina Torkaman, Yongquan Zhang, 2021, 2105.00370.