Neural network for solving linear programming problems with bounded variables. - Youshen Xia; Jiasong Wang (IEEE Trans. Neural Networks, 1995)

A new neural network for solving linear programming problems and its application. - Youshen Xia (IEEE Trans. Neural Networks, 1996)

A new neural network for solving linear and quadratic programming problems. - Youshen Xia (IEEE Trans. Neural Networks, 1996)

Neural networks for solving least absolute and related problems. - Youshen Xia; Jun Wang 002 (Neurocomputing, 1998)

Analysis and design of primal-dual assignment networks. - Jun Wang 002; Youshen Xia (IEEE Trans. Neural Networks, 1998)

A general methodology for designing globally convergent optimization neural networks. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks, 1998)

A dual neural network solving quadratic programming problems. - Jun Wang 002; Youshen Xia (IJCNN, 1999)

Primal neural networks for solving convex quadratic programs. - Youshen Xia; Jun Wang 002 (IJCNN, 1999)

Global asymptotic stability of a class of dynamic neural systems with asymmetric connection weights. - Youshen Xia; Jun Wang 002 (CDC, 2000)

Neural Network Realization of Support Vector Methods for Pattern Classification. - Ying Tan 002; Youshen Xia; Jun Wang 002 (IJCNN (6), 2000)

A Recurrent Neural Network for Solving Nonlinear Projection Equations. - Youshen Xia; Jun Wang 002 (IJCNN (6), 2000)

A recurrent neural network for solving linear projection equations. - Youshen Xia; Jun Wang 002 (Neural Networks, 2000)

A discrete-time recurrent neural network for shortest-path routing. - Youshen Xia; Jun Wang 002 (IEEE Trans. Autom. Control., 2000)

Global exponential stability of recurrent neural networks for solving optimization and related problems. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights. - Youshen Xia; Jun Wang 002 (IEEE Trans. Autom. Control., 2001)

A dual neural network for kinematic control of redundant robot manipulators. - Youshen Xia; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Neural data fusion algorithms based on a linearly constrained least square method. - Youshen Xia; Henry Leung; Éloi Bossé (IEEE Trans. Neural Networks, 2002)

A general projection neural network for solving optimization and related problems. - Youshen Xia; Jun Wang 002 (IJCNN, 2003)

A recurrent neural network for nonlinear convex programming. - Youshen Xia; Jun Wang 002 (ISCAS (3), 2003)

A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits. - Yunong Zhang; Jun Wang 002; Youshen Xia (IEEE Trans. Neural Networks, 2003)

A recurrent neural network for solving variational inequality problems with nonlinear constraints. - Youshen Xia; Jun Wang 002 (IJCNN, 2004)

An Extended Projection Neural Network for Constrained Optimization. - Youshen Xia (Neural Comput., 2004)

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations. - Youshen Xia; Gang Feng 001; Jun Wang 002 (Neural Networks, 2004)

On convergence rate of projection neural networks. - Youshen Xia; Gang Feng 001 (IEEE Trans. Autom. Control., 2004)

A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints. - Youshen Xia; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

A general projection neural network for solving monotone variational inequalities and related optimization problems. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks, 2004)

Grasping-force optimization for multifingered robotic hands using a recurrent neural network. - Youshen Xia; Jun Wang 002; Lo Ming Fok (IEEE Trans. Robotics, 2004)

A one-layer recurrent neural network for support vector machine learning. - Youshen Xia; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2004)

An improved neural network for convex quadratic optimization with application to real-time beamforming. - Youshen Xia; Gang Feng 001 (Neurocomputing, 2005)

On Convergence Conditions of an Extended Projection Neural Network. - Youshen Xia; Gang Feng 001 (Neural Comput., 2005)

A delayed neural network for solving linear projection equations and its analysis. - Qingshan Liu 002; Jinde Cao; Youshen Xia (IEEE Trans. Neural Networks, 2005)

A recurrent neural network for solving nonlinear convex programs subject to linear constraints. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks, 2005)

A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control. - Youshen Xia; Gang Feng 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A new regression estimator with neural network realization. - Youshen Xia; Henry Leung; Nan Xie; Éloi Bossé (IEEE Trans. Signal Process., 2005)

A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals. - Youshen Xia; Mohamed S. Kamel (IJCNN, 2006)

A Novel Cooperative Neural Learning Algorithm for Data Fusion. - Youshen Xia; Mohamed S. Kamel (IJCNN, 2006)

A neural network for robust LCMP beamforming. - Youshen Xia; Gang Feng 001 (Signal Process., 2006)

A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines. - Youshen Xia; Henry Leung; Hing Chan (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Nonlinear spatial-temporal prediction based on optimal fusion. - Youshen Xia; Henry Leung (IEEE Trans. Neural Networks, 2006)

Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network. - Youshen Xia; Jun Wang 002 (ISNN (3), 2007)

A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm. - Youshen Xia; Mohamed S. Kamel (Neural Comput., 2007)

A new neural network for solving nonlinear projection equations. - Youshen Xia; Gang Feng 001 (Neural Networks, 2007)

Development and Analysis of a Neural Dynamical Approach to Nonlinear Programming Problems. - Youshen Xia; Gang Feng 001; Mohamed Kamel (IEEE Trans. Autom. Control., 2007)

Novel Cooperative Neural Fusion Algorithms for Image Restoration and Image Fusion. - Youshen Xia; Mohamed S. Kamel (IEEE Trans. Image Process., 2007)

Cooperative Recurrent Neural Networks for the Constrained L1 Estimator. - Youshen Xia; Mohamed S. Kamel (IEEE Trans. Signal Process., 2007)

A Cooperative Recurrent Neural Network for Solving L1 Estimation Problems with General Linear Constraints. - Youshen Xia; Mohamed S. Kamel (Neural Comput., 2008)

On Exponential Convergence Conditions of an Extended Projection Neural Network. - Youshen Xia; Dongyi Ye (Neural Comput., 2008)

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints. - Youshen Xia; Gang Feng 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2008)

A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals. - Youshen Xia; Mohamed S. Kamel (IEEE Trans. Neural Networks, 2008)

Cooperative Learning Algorithms for Data Fusion Using Novel L1 Estimation. - Youshen Xia; Mohamed S. Kamel (IEEE Trans. Signal Process., 2008)

A Fast Algorithm for 2-D ARMA Parameters Estimation. - Zhipo Deng; Youshen Xia (ISNN (1), 2009)

Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning. - Ying Yu; Youshen Xia; Mohamed Kamel (ISNN (2), 2009)

A novel neural dynamical approach to convex quadratic program and its efficient applications. - Youshen Xia; Changyin Sun 001 (Neural Networks, 2009)

An Analysis of a Neural Dynamical Approach to Solving Optimization Problems. - Changyin Sun 001; Youshen Xia (IEEE Trans. Autom. Control., 2009)

A compact cooperative recurrent neural network for computing general constrained L1norm estimators. - Youshen Xia (IEEE Trans. Signal Process., 2009)

A Cooperative Learning Algorithm for Multiclass Classification. - Youshen Xia; Yu Ying (Web Intelligence/IAT Workshops, 2010)

A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method. - Youshen Xia; Mohamed S. Kamel; Henry Leung (Neural Networks, 2010)

Discrete-Time Neural Network for Fast Solving Large Linear L1 Estimation Problems and its Application to Image Restoration. - Youshen Xia; Changyin Sun; Wei Xing Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Analysis and application of a novel fast algorithm for 2-D ARMA model parameter estimation. - Youshen Xia; Zhipo Deng; Wei Xing Zheng 001 (Autom., 2013)

A fast discrete-time learning algorithm for speech enhancement using noise constrained parameter estimation. - Youshen Xia; Guiliang Lin; Wei Xing Zheng 001 (IJCNN, 2014)

Performance analysis of statistical optimal data fusion algorithms. - Youshen Xia; Henry Leung (Inf. Sci., 2014)

A Novel Iterative Method for Computing Generalized Inverse. - Youshen Xia; Tianping Chen; Jinjun Shan (Neural Comput., 2014)

On unbiased identification of autoregressive signals with noisy measurements. - Youshen Xia; Wei Xing Zheng 001 (ISCAS, 2015)

Novel parameter estimation of autoregressive signals in the presence of noise. - Youshen Xia; Wei Xing Zheng 001 (Autom., 2015)

Low-dimensional recurrent neural network-based Kalman filter for speech enhancement. - Youshen Xia; Jun Wang 002 (Neural Networks, 2015)

A complex-valued neural dynamical optimization approach and its stability analysis. - Songchuan Zhang; Youshen Xia; Wei Xing Zheng 001 (Neural Networks, 2015)

Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum. - Jingxian Tu; Youshen Xia (Speech Commun., 2015)

A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables. - Songchuan Zhang; Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Fast robust image restoration using a new neural fusion method? - Youshen Xia (CISP-BMEI, 2016)

Neural network for computing pseudoinverses and outer inverses of complex-valued matrices. - Youshen Xia; Songchuan Zhang; Predrag S. Stanimirovic (Appl. Math. Comput., 2016)

A discrete-time learning algorithm for image restoration using a novel L2-norm noise constrained estimation. - Youshen Xia; Henry Leung; Mohamed S. Kamel (Neurocomputing, 2016)

Poissonian Hyperspectral Image Superresolution Using Alternating Direction Optimization. - Changzhong Zou; Youshen Xia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Two Fast Complex-Valued Algorithms for Solving Complex Quadratic Programming Problems. - Songchuan Zhang; Youshen Xia (IEEE Trans. Cybern., 2016)

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. - Zhigang Zeng; Andrzej Cichocki; Long Cheng 001; Youshen Xia; Xiaolin Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Blind super-resolution image reconstruction based on novel blur type identification. - Liqing Huang; Youshen Xia (CISP-BMEI, 2017)

Two dimensional autoregressive modeling-based interpolation algorithms for image super-resolution: A comparison study. - Meiyun Lu; Liqing Huang; Youshen Xia (CISP-BMEI, 2017)

A novel deformable image registration algorithm based on improved active demons. - Shiyong Zhuang; Youshen Xia (CISP-BMEI, 2017)

Blind hyperspectral image super resolution via simultaneously sparse and TV constraint. - Changzhong Zou; Youshen Xia (ICIP, 2017)

A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems. - Youshen Xia (ISNN (1), 2017)

A complex-valued multichannel speech enhancement learning algorithm for optimal tradeoff between noise reduction and speech distortion. - Jingxian Tu; Youshen Xia; Songchuan Zhang (Neurocomputing, 2017)

Hyperspectral Image Superresolution Based on Double Regularization Unmixing. - Changzhong Zou; Youshen Xia (IEEE Geosci. Remote. Sens. Lett., 2017)

A Crop-Based Multi-Branch Network for Matching Cost Computation. - Yu Chen; Youshen Xia; Chenwang Wu (CISP-BMEI, 2018)

Low-Light Image Enhancement Based on Joint Generative Adversarial Network and Image Quality Assessment. - Wei Hua; Youshen Xia (CISP-BMEI, 2018)

Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems. - Lingmei Huang; Youshen Xia; Songchuan Zhang (ICONIP (2), 2018)

Effective Kalman filtering algorithm for distributed multichannel speech enhancement. - Jingxian Tu; Youshen Xia (Neurocomputing, 2018)

Restoration of hyperspectral image contaminated by Poisson noise using spectral unmixing. - Changzhong Zou; Youshen Xia (Neurocomputing, 2018)

Bayesian dictionary learning for hyperspectral image super resolution in mixed Poisson-Gaussian noise. - Changzhong Zou; Youshen Xia (Signal Process. Image Commun., 2018)

Solving Nonlinear Optimization Problems of Real Functions in Complex Variables by Complex-Valued Iterative Methods. - Songchuan Zhang; Youshen Xia (IEEE Trans. Cybern., 2018)

Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks. - Youshen Xia; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A 2D Observation Model-Based Algorithm for Blind Single Image Super-Resolution Reconstruction. - Liqing Huang; Youshen Xia (ICACI, 2019)

Natural Images Enhancement Using Structure Extraction and Retinex. - Xiaoyu Du; Youshen Xia (ACIVS, 2020)

Matrix-Type Neural Dynamical Methods for Matrix-Variable Nonlinear Programming with Linear Constraints. - Tiantian Ye; Youshen Xia (ICACI, 2020)

Joint blur kernel estimation and CNN for blind image restoration. - Liqing Huang; Youshen Xia (Neurocomputing, 2020)

Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming. - Youshen Xia; Jun Wang 002; Wenzhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2020)

CT image reconstruction algorithms: A comprehensive survey. - Shu Zhang 018; Youshen Xia (Concurr. Comput. Pract. Exp., 2021)

Two Matrix-Type Projection Neural Networks for Matrix-Valued Optimization with Application to Image Restoration. - Lingmei Huang; Youshen Xia; Liqing Huang; Songchuan Zhang (Neural Process. Lett., 2021)

Fast Blind Image Super Resolution Using Matrix-Variable Optimization. - Liqing Huang; Youshen Xia (IEEE Trans. Circuits Syst. Video Technol., 2021)

Effective Blind Image Deblurring Using Matrix-Variable Optimization. - Liqing Huang; Youshen Xia; Tiantian Ye (IEEE Trans. Image Process., 2021)

Fast Image Restoration Using A Simplified Matrix-Type Recurrent Neural Network. - Liqing Huang; Youshen Xia (CISP-BMEI, 2022)

4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization. - Shu Zhang 018; Youshen Xia (Pattern Recognit., 2022)

Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction. - Songchuan Zhang; Yonghui Xia; Youshen Xia; Jun Wang 002 (IEEE Trans. Cybern., 2022)

Matrix-type Recurrent Neural Network For Fast Solving Complex-variable ℓ1-norm Optimization. - Songchuan Zhang; Youshen Xia (ICCAI, 2023)

Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization. - Youshen Xia; Jun Wang 002; Zhenyu Lu 002; Liqing Huang (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Survey of Neurodynamic Optimization. - Youshen Xia; Qingshan Liu 002; Jun Wang 002; Andrzej Cichocki (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Pixel adaptive deep-unfolding neural network with state space model for image deraining. - Yao Xiao; Youshen Xia (Neural Networks, 2025)

Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization. - Youshen Xia; Tiantian Ye; Liqing Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)