Youshen Xia

According to our database1, Youshen Xia authored at least 89 papers between 1995 and 2020.

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

Timeline

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Bibliography

2020
Natural Images Enhancement Using Structure Extraction and Retinex.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019
A 2D Observation Model-Based Algorithm for Blind Single Image Super-Resolution Reconstruction.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018
Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2018

Solving Nonlinear Optimization Problems of Real Functions in Complex Variables by Complex-Valued Iterative Methods.
IEEE Trans. Cybernetics, 2018

Bayesian dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise.
Sig. Proc.: Image Comm., 2018

Restoration of hyperspectral image contaminated by Poisson noise using spectral unmixing.
Neurocomputing, 2018

Effective Kalman filtering algorithm for distributed multichannel speech enhancement.
Neurocomputing, 2018

Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Low-Light Image Enhancement Based on Joint Generative Adversarial Network and Image Quality Assessment.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

A Crop-Based Multi-Branch Network for Matching Cost Computation.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Hyperspectral Image Superresolution Based on Double Regularization Unmixing.
IEEE Geosci. Remote Sensing Lett., 2017

A complex-valued multichannel speech enhancement learning algorithm for optimal tradeoff between noise reduction and speech distortion.
Neurocomputing, 2017

A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Blind hyperspectral image super resolution via simultaneously sparse and TV constraint.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A novel deformable image registration algorithm based on improved active demons.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Two dimensional autoregressive modeling-based interpolation algorithms for image super-resolution: A comparison study.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Blind super-resolution image reconstruction based on novel blur type identification.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications.
IEEE Trans. Neural Netw. Learning Syst., 2016

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.
IEEE Trans. Neural Netw. Learning Syst., 2016

Two Fast Complex-Valued Algorithms for Solving Complex Quadratic Programming Problems.
IEEE Trans. Cybernetics, 2016

Poissonian Hyperspectral Image Superresolution Using Alternating Direction Optimization.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2016

A discrete-time learning algorithm for image restoration using a novel L2-norm noise constrained estimation.
Neurocomputing, 2016

Neural network for computing pseudoinverses and outer inverses of complex-valued matrices.
Applied Mathematics and Computation, 2016

Fast robust image restoration using a new neural fusion method?
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables.
IEEE Trans. Neural Netw. Learning Syst., 2015

Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum.
Speech Communication, 2015

A complex-valued neural dynamical optimization approach and its stability analysis.
Neural Networks, 2015

Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.
Neural Networks, 2015

Novel parameter estimation of autoregressive signals in the presence of noise.
Automatica, 2015

On unbiased identification of autoregressive signals with noisy measurements.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
A Novel Iterative Method for Computing Generalized Inverse.
Neural Computation, 2014

Performance analysis of statistical optimal data fusion algorithms.
Inf. Sci., 2014

A fast discrete-time learning algorithm for speech enhancement using noise constrained parameter estimation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Analysis and application of a novel fast algorithm for 2-D ARMA model parameter estimation.
Automatica, 2013

2012
Discrete-Time Neural Network for Fast Solving Large Linear L1 Estimation Problems and its Application to Image Restoration.
IEEE Trans. Neural Netw. Learning Syst., 2012

2010
A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method.
Neural Networks, 2010

A Cooperative Learning Algorithm for Multiclass Classification.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

2009
A compact cooperative recurrent neural network for computing general constrained L1norm estimators.
IEEE Trans. Signal Processing, 2009

An Analysis of a Neural Dynamical Approach to Solving Optimization Problems.
IEEE Trans. Automat. Contr., 2009

A novel neural dynamical approach to convex quadratic program and its efficient applications.
Neural Networks, 2009

Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning.
Proceedings of the Advances in Neural Networks, 2009

A Fast Algorithm for 2-D ARMA Parameters Estimation.
Proceedings of the Advances in Neural Networks, 2009

2008
Cooperative Learning Algorithms for Data Fusion Using Novel L1 Estimation.
IEEE Trans. Signal Processing, 2008

A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals.
IEEE Trans. Neural Networks, 2008

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints.
IEEE Trans. Neural Networks, 2008

On Exponential Convergence Conditions of an Extended Projection Neural Network.
Neural Computation, 2008

A Cooperative Recurrent Neural Network for Solving L1 Estimation Problems with General Linear Constraints.
Neural Computation, 2008

2007
Cooperative Recurrent Neural Networks for the Constrained L1 Estimator.
IEEE Trans. Signal Processing, 2007

Novel Cooperative Neural Fusion Algorithms for Image Restoration and Image Fusion.
IEEE Trans. Image Processing, 2007

Development and Analysis of a Neural Dynamical Approach to Nonlinear Programming Problems.
IEEE Trans. Automat. Contr., 2007

A new neural network for solving nonlinear projection equations.
Neural Networks, 2007

A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm.
Neural Computation, 2007

Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network.
Proceedings of the Advances in Neural Networks, 2007

2006
Nonlinear spatial-temporal prediction based on optimal fusion.
IEEE Trans. Neural Networks, 2006

A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines.
IEEE Trans. on Circuits and Systems, 2006

A neural network for robust LCMP beamforming.
Signal Processing, 2006

A Novel Cooperative Neural Learning Algorithm for Data Fusion.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
A new regression estimator with neural network realization.
IEEE Trans. Signal Processing, 2005

A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2005

A recurrent neural network for solving nonlinear convex programs subject to linear constraints.
IEEE Trans. Neural Networks, 2005

A delayed neural network for solving linear projection equations and its analysis.
IEEE Trans. Neural Networks, 2005

On Convergence Conditions of an Extended Projection Neural Network.
Neural Computation, 2005

An improved neural network for convex quadratic optimization with application to real-time beamforming.
Neurocomputing, 2005

2004
A one-layer recurrent neural network for support vector machine learning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Grasping-force optimization for multifingered robotic hands using a recurrent neural network.
IEEE Trans. Robotics, 2004

A general projection neural network for solving monotone variational inequalities and related optimization problems.
IEEE Trans. Neural Networks, 2004

A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints.
IEEE Trans. on Circuits and Systems, 2004

On convergence rate of projection neural networks.
IEEE Trans. Automat. Contr., 2004

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
Neural Networks, 2004

An Extended Projection Neural Network for Constrained Optimization.
Neural Computation, 2004

2003
A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits.
IEEE Trans. Neural Networks, 2003

A recurrent neural network for nonlinear convex programming.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
Neural data fusion algorithms based on a linearly constrained least square method.
IEEE Trans. Neural Networks, 2002

2001
A dual neural network for kinematic control of redundant robot manipulators.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights.
IEEE Trans. Automat. Contr., 2001

2000
Global exponential stability of recurrent neural networks for solving optimization and related problems.
IEEE Trans. Neural Netw. Learning Syst., 2000

A discrete-time recurrent neural network for shortest-path routing.
IEEE Trans. Automat. Contr., 2000

A recurrent neural network for solving linear projection equations.
Neural Networks, 2000

A Recurrent Neural Network for Solving Nonlinear Projection Equations.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Neural Network Realization of Support Vector Methods for Pattern Classification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Primal neural networks for solving convex quadratic programs.
Proceedings of the International Joint Conference Neural Networks, 1999

A dual neural network solving quadratic programming problems.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A general methodology for designing globally convergent optimization neural networks.
IEEE Trans. Neural Networks, 1998

Analysis and design of primal-dual assignment networks.
IEEE Trans. Neural Networks, 1998

Neural networks for solving least absolute and related problems.
Neurocomputing, 1998

1996
A new neural network for solving linear and quadratic programming problems.
IEEE Trans. Neural Networks, 1996

A new neural network for solving linear programming problems and its application.
IEEE Trans. Neural Networks, 1996

1995
Neural network for solving linear programming problems with bounded variables.
IEEE Trans. Neural Networks, 1995


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