Youshen Xia
Orcid: 0000-0001-7502-913X
According to our database1,
Youshen Xia
authored at least 108 papers
between 1995 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
A novel image enhancement method based on image decomposition and deep neural networks.
Pattern Recognit., 2026
2025
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Pixel adaptive deep-unfolding neural network with state space model for image deraining.
Neural Networks, 2025
2024
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
2023
Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Matrix-type Recurrent Neural Network For Fast Solving Complex-variable ℓ1-norm Optimization.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023
2022
Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction.
IEEE Trans. Cybern., 2022
4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization.
Pattern Recognit., 2022
Proceedings of the 15th International Congress on Image and Signal Processing, 2022
2021
IEEE Trans. Image Process., 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Two Matrix-Type Projection Neural Networks for Matrix-Valued Optimization with Application to Image Restoration.
Neural Process. Lett., 2021
Concurr. Comput. Pract. Exp., 2021
2020
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming.
IEEE Trans. Neural Networks Learn. Syst., 2020
Neurocomputing, 2020
Matrix-Type Neural Dynamical Methods for Matrix-Variable Nonlinear Programming with Linear Constraints.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
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
IEEE Trans. Neural Networks Learn. Syst., 2018
Solving Nonlinear Optimization Problems of Real Functions in Complex Variables by Complex-Valued Iterative Methods.
IEEE Trans. Cybern., 2018
Bayesian dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise.
Signal Process. Image Commun., 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
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
2017
IEEE Geosci. Remote. Sens. 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
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
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 Networks Learn. Syst., 2016
A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., 2016
Two Fast Complex-Valued Algorithms for Solving Complex Quadratic Programming Problems.
IEEE Trans. Cybern., 2016
Poissonian Hyperspectral Image Superresolution Using Alternating Direction Optimization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
A discrete-time learning algorithm for image restoration using a novel L<sub>2</sub>-norm noise constrained estimation.
Neurocomputing, 2016
Neural network for computing pseudoinverses and outer inverses of complex-valued matrices.
Appl. Math. Comput., 2016
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 Networks Learn. Syst., 2015
Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum.
Speech Commun., 2015
Neural Networks, 2015
Neural Networks, 2015
Autom., 2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
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.
Autom., 2013
2012
Discrete-Time Neural Network for Fast Solving Large Linear L<sub>1</sub> Estimation Problems and its Application to Image Restoration.
IEEE Trans. Neural Networks Learn. Syst., 2012
2010
A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method.
Neural Networks, 2010
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 Process., 2009
IEEE Trans. Autom. Control., 2009
A novel neural dynamical approach to convex quadratic program and its efficient applications.
Neural Networks, 2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Advances in Neural Networks, 2009
2008
Cooperative Learning Algorithms for Data Fusion Using Novel L<sub>1</sub> Estimation.
IEEE Trans. Signal Process., 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
Neural Comput., 2008
A Cooperative Recurrent Neural Network for Solving <i>L</i><sub>1</sub> Estimation Problems with General Linear Constraints.
Neural Comput., 2008
2007
IEEE Trans. Signal Process., 2007
IEEE Trans. Image Process., 2007
Development and Analysis of a Neural Dynamical Approach to Nonlinear Programming Problems.
IEEE Trans. Autom. Control., 2007
Neural Networks, 2007
A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm.
Neural Comput., 2007
Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network.
Proceedings of the Advances in Neural Networks, 2007
2006
IEEE Trans. Neural Networks, 2006
A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
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
IEEE Trans. Signal Process., 2005
A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control.
IEEE Trans. Syst. Man Cybern. Part B, 2005
A recurrent neural network for solving nonlinear convex programs subject to linear constraints.
IEEE Trans. Neural Networks, 2005
IEEE Trans. Neural Networks, 2005
Neural Comput., 2005
An improved neural network for convex quadratic optimization with application to real-time beamforming.
Neurocomputing, 2005
2004
IEEE Trans. Syst. Man Cybern. 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. Circuits Syst. I Regul. Pap., 2004
A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
Neural Networks, 2004
Neural Comput., 2004
A recurrent neural network for solving variational inequality problems with nonlinear constraints.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
Proceedings of the International Joint Conference on Neural Networks, 2003
2002
IEEE Trans. Neural Networks, 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights.
IEEE Trans. Autom. Control., 2001
2000
Global exponential stability of recurrent neural networks for solving optimization and related problems.
IEEE Trans. Neural Networks Learn. Syst., 2000
IEEE Trans. Autom. Control., 2000
Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Global asymptotic stability of a class of dynamic neural systems with asymmetric connection weights.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
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
IEEE Trans. Neural Networks, 1998
Neurocomputing, 1998
1996
IEEE Trans. Neural Networks, 1996
IEEE Trans. Neural Networks, 1996
1995
IEEE Trans. Neural Networks, 1995