On the asymptotic Properties of Recurrent Neural Networks for Optimization. - Jun Wang 002 (Int. J. Pattern Recognit. Artif. Intell., 1991)

Neurally-inspired stochastic algorithm for determining multi-stage multi-attribute sampling inspection plans. - Jun Wang 002; Vira Chankong (J. Intell. Manuf., 1991)

Recurrent neural networks for linear programming: Analysis and design principles. - Jun Wang 002; Vira Chankong (Comput. Oper. Res., 1992)

A feedforward neural network for multiple criteria decision making. - Jun Wang 002; Behnam Malakooti (Comput. Oper. Res., 1992)

Computing Optical Flow with A Recurrent Neural Network. - Hua Li; Jun Wang 002 (Int. J. Pattern Recognit. Artif. Intell., 1993)

Characterization of training errors in supervised learning using gradient-based rules. - Jun Wang 002; Behnam Malakooti (Neural Networks, 1993)

A new competitive learning algorithm for vector quantization. - Ce Zhu; Lihua Li 002; Zhenya He; Jun Wang 002 (ICASSP (2), 1994)

Recurrent Neural Networks for Synthesizing Linear Control Systems via Pole Placement. - Jun Wang 002; Guang Wu (ICTAI, 1994)

A Recurrent Neural Network for Solving the Shortest Path Problem. - Jun Wang 002 (ISCAS, 1994)

A neural network approach to modeling fuzzy preference relations for multiple criteria decision making. - Jun Wang 002 (Comput. Oper. Res., 1994)

Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment. - Jun Wang 002 (Decis. Support Syst., 1994)

A Neural Network Approach to Multiple Criteria Decision Making Based on Fuzzy Preference Information. - Jun Wang 002 (Inf. Sci., 1994)

Solving Simultaneous Linear Equations Using Recurrent Neural Networks. - Jun Wang 002; Hua Li (Inf. Sci., 1994)

A deterministic annealing neural network for convex programming. - Jun Wang 002 (Neural Networks, 1994)

Analysis of learning vector quantization algorithms for pattern classification. - Ce Zhu; Jun Wang 002; Taijun Wang (ICASSP, 1995)

Neural Network Approaches to fast and Low Rate Vector Quantization. - Jun Wang 002; Ce Zhu; Chenwu Wu; Zhenya He (ISCAS, 1995)

Author's response. - Jun Wang 002; Behnam Malakooti (Neural Networks, 1995)

Analysis and design of an analog sorting network. - Jun Wang 002 (IEEE Trans. Neural Networks, 1995)

A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment. - Jun Wang 002; Guang Wu (Autom., 1996)

A dual neural network for shortest-path routing. - Jun Wang 002 (ICNN, 1997)

Recurrent Neural Networks for Computing Pseudoinverses of Rank-Deficient Matrices. - Jun Wang 002 (SIAM J. Sci. Comput., 1997)

Primal and dual assignment networks. - Jun Wang 002 (IEEE Trans. Neural Networks, 1997)

A FPGA-Based Custom Computing System for Solving the Assignment Problem. - Donald L. Hung; Jun Wang 002 (FCCM, 1998)

A two-layer recurrent neural network for real-time control of redundant manipulators with torque minimization. - Wai Sum Tang; Jun Wang 002 (SMC, 1998)

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

Blind Identification and Signal Separation of Two-Input Two-Output FIR Systems. - Jun Wang 002; Zhenya He (Multidimens. Syst. Signal Process., 1998)

A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations. - Jun Wang 002; Guang Wu (Neural Networks, 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)

Primal and dual neural networks for shortest-path routing. - Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part A, 1998)

An improved neurocomputation scheme for minimum infinity-norm kinematic control of redundant manipulators. - Wai Sum Tang; Jun Wang 002 (IJCNN, 1999)

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)

A recurrent neural network for real-time semidefinite programming. - Danchi Jiang; Jun Wang 002 (IEEE Trans. Neural Networks, 1999)

A Lagrangian network for kinematic control of redundant robot manipulators. - Jun Wang 002; Qingni Hu; Danchi Jiang (IEEE Trans. Neural Networks, 1999)

Recurrent neural networks for minimum infinity-norm kinematic control of redundant manipulators. - Han Ding 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part A, 1999)

A linear assignment clustering algorithm based on the least similar cluster representatives. - Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part A, 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)

Nonlinear blind separation using an RBF network model. - Ying Tan 002; Jun Wang 002 (ISCAS, 2000)

A Discrete-Time Lagrangian Network for Solving Constrained Quadratic Programs. - Wai Sum Tang; Jun Wang 002 (Int. J. Neural Syst., 2000)

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

On stabilization of a new class of linear time-invariant interval systems via constant state feedback control. - Sanqing Hu; Jun Wang 002 (IEEE Trans. Autom. Control., 2000)

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

On-line learning of dynamical systems in the presence of model mismatch and disturbances. - Danchi Jiang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Blind extraction of singularly mixed source signals. - Yuanqing Li 001; Jun Wang 002; Jacek M. Zurada (IEEE Trans. Neural Networks Learn. Syst., 2000)

A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints. - Xue-Bin Liang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 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)

Real-time tool condition monitoring using wavelet transforms and fuzzy techniques. - Xiaoli Li 002; Shiu Kit Tso; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part C, 2000)

Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators. - Wai Sum Tang; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2000)

Nonlinear blind source separation using a genetic algorithm. - Ying Tan 002; Jun Wang 002 (CEC, 2001)

Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network. - Wai Sum Tang; Cherry Miu Ling Lam; Jun Wang 002 (ICANN, 2001)

Quadratic stabilizability of a new class of linear systems with structural independent time-varying uncertainty. - Sanqing Hu; Jun Wang 002 (Autom., 2001)

Recurrent neural networks for nonlinear output regulation. - Yunong Zhang; Jun Wang 002 (Autom., 2001)

Architecture and design of a hardware accelerator for efficient 3D object recognition using the LC method. - Donald L. Hung; Karl Hillesland; Jun Wang 002 (Inf. Sci., 2001)

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

Nonlinear blind source separation using higher order statistics and a genetic algorithm. - Ying Tan 002; Jun Wang 002 (IEEE Trans. Evol. Comput., 2001)

Nonlinear blind source separation using a radial basis function network. - Ying Tan 002; Jun Wang 002; Jacek M. Zurada (IEEE Trans. Neural Networks, 2001)

A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity. - Wai Sum Tang; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 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)

A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems. - Sanqing Hu; Jun Wang 002 (Autom., 2002)

Augmented gradient flows for on-line robust pole assignment via state and output feedback. - Danchi Jiang; Jun Wang 002 (Autom., 2002)

Global asymptotic stability and global exponential stability of continuous-time recurrent neural networks. - Sanqing Hu; Jun Wang 002 (IEEE Trans. Autom. Control., 2002)

A recurrent neural network for solving Sylvester equation with time-varying coefficients. - Yunong Zhang; Danchi Jiang; Jun Wang 002 (IEEE Trans. Neural Networks, 2002)

Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment. - Yunong Zhang; Jun Wang 002 (IEEE Trans. Neural Networks, 2002)

A dual neural network for bi-criteria kinematic control of redundant manipulators. - Yunong Zhang; Jun Wang 002; Yangsheng Xu (IEEE Trans. Robotics Autom., 2002)

A dual neural network for constrained joint torque optimization of kinematically redundant manipulators. - Yunong Zhang; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Sequential blind extraction of instantaneously mixed sources. - Yuanqing Li 001; Jun Wang 002 (IEEE Trans. Signal Process., 2002)

A multistage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment. - Zhenya He; Yifeng Zhang 001; Chengjian Wei; Jun Wang 002 (IEEE Trans. Veh. Technol., 2002)

Obstacle avoidance of redundant manipulators using a dual neural network. - Yunong Zhang; Jun Wang 002 (ICRA, 2003)

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)

Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm. - Jun Wang 002 (Autom., 2003)

Novel Stability Criteria for Delayed Cellular Neural Networks. - Jinde Cao; Jun Wang 002; Xiaofeng Liao 001 (Int. J. Neural Syst., 2003)

Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays. - Xiaofeng Liao 001; Jun Wang 002; Jinde Cao (Int. J. Neural Syst., 2003)

Digital hardware realization of a recurrent neural network for solving the assignment problem. - Donald L. Hung; Jun Wang 002 (Neurocomputing, 2003)

Absolute exponential stability of a class of continuous-time recurrent neural networks. - Sanqing Hu; Jun Wang 002 (IEEE Trans. Neural Networks, 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)

Grasp analysis and synthesis based on a new quantitative measure. - Xiangyang Zhu; Han Ding 001; Jun Wang 002 (IEEE Trans. Robotics Autom., 2003)

Synthesis of force-closure grasps on 3-D objects based on the Q distance. - Xiangyang Zhu; Jun Wang 002 (IEEE Trans. Robotics Autom., 2003)

A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators. - Shubao Liu; Jun Wang 002 (ICONIP, 2004)

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

Delay-dependent robust stability of uncertain nonlinear systems with time delay. - Jinde Cao; Jun Wang 002 (Appl. Math. Comput., 2004)

Algebraic conditions of stability for hopfield neural network. - Xiaoxin Liao; Xuerong Mao; Jun Wang 002; Zhigang Zeng (Sci. China Ser. F Inf. Sci., 2004)

Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. - Jinde Cao; Jun Wang 002 (Neural Networks, 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)

Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels. - Yuanqing Li 001; Jun Wang 002; Andrzej Cichocki (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds. - Derong Liu 001; Sanqing Hu; Jun Wang 002 (IEEE Trans. Circuits Syst. II Express Briefs, 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)

Stability analysis of delayed cellular neural networks described using cloning templates. - Zhigang Zeng; Jun Wang 002; Xiaoxin Liao (IEEE Trans. Circuits Syst. I Regul. Pap., 2004)

A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension. - Ying Tan 002; Jun Wang 002 (IEEE Trans. Knowl. Data Eng., 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)

Constrained motion control of flexible robot manipulators based on recurrent neural networks. - Lianfang Tian; Jun Wang 002; Zongyuan Mao (IEEE Trans. Syst. Man Cybern. Part B, 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)

Obstacle avoidance for kinematically redundant manipulators using a dual neural network. - Yunong Zhang; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A new k-winners-take-all neural network. - Shubao Liu; Jun Wang 002 (IJCNN, 2005)

Bi-criteria torque optimization of redundant manipulators based on a simplified dual neural network. - Shubao Liu; Jun Wang 002 (IJCNN, 2005)

Obstacle Avoidance for Kinematically Redundant Manipulators Using the Deterministic Annealing Neural Network. - Shubao Liu; Jun Wang 002 (ISNN (3), 2005)

A network model for blind source extraction in various ill-conditioned cases. - Yuanqing Li 001; Jun Wang 002 (Neural Networks, 2005)

Global asymptotic and robust stability of recurrent neural networks with time delays. - Jinde Cao; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Global exponential stability and periodicity of recurrent neural networks with time delays. - Jinde Cao; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Global asymptotic stability and global exponential stability of delayed cellular neural networks. - Xiaoxin Liao; Jun Wang 002; Zhigang Zeng (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays. - Zhigang Zeng; Jun Wang 002; Xiaoxin Liao (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays. - Boshan Chen; Jun Wang 002 (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)

Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (ICONIP (2), 2006)

A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. - Qingshan Liu 002; Jun Wang 002 (ICONIP (2), 2006)

A Recurrent Neural Network for Solving Nonconvex Optimization Problems. - Xiaolin Hu 001; Jun Wang 002 (IJCNN, 2006)

Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates. - Zhigang Zeng; Jun Wang 002 (IJCNN, 2006)

Sequential blind extraction of instantaneous mixtures with arbitrary rank. - Sanqing Hu; Derong Liu 001; Jun Wang 002 (ISCAS, 2006)

Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. - Xiaolin Hu 001; Jun Wang 002 (ISCAS, 2006)

A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. - Qingshan Liu 002; Jun Wang 002; Jinde Cao (ISNN (1), 2006)

Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates. - Zhigang Zeng; Jun Wang 002 (ISNN (1), 2006)

Multiperiodicity and Exponential Attractivity Evoked by Periodic External Inputs in Delayed Cellular Neural Networks. - Zhigang Zeng; Jun Wang 002 (Neural Comput., 2006)

Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli. - Zhigang Zeng; Jun Wang 002 (Neural Networks, 2006)

Global robust stability of a class of discrete-time interval neural networks. - Sanqing Hu; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Complete stability of cellular neural networks with time-varying delays. - Zhigang Zeng; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2006)

A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application. - Shubao Liu; Jun Wang 002 (IEEE Trans. Neural Networks, 2006)

Improved conditions for global exponential stability of recurrent neural networks with time-varying delays. - Zhigang Zeng; Jun Wang 002 (IEEE Trans. Neural Networks, 2006)

Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs. - Zhigang Zeng; Jun Wang 002 (IEEE Trans. Neural Networks, 2006)

An improved particle swarm optimizer with momentum. - Tao Xiang 001; Jun Wang 002; Xiaofeng Liao 001 (IEEE Congress on Evolutionary Computation, 2007)

An Efficient Source Peer Selection Algorithm in Hybrid P2P File Sharing Systems. - Jingyuan Li 002; Weijia Jia 001; Liusheng Huang; Mingjun Xiao; Jun Wang 002 (ICA3PP, 2007)

Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (ICONIP (1), 2007)

A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. - Shenshen Gu; Jun Wang 002 (IJCNN, 2007)

A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. - Qingshan Liu 002; Jun Wang 002 (IJCNN, 2007)

Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function. - Xiaolin Hu 001; Jun Wang 002 (ISNN (3), 2007)

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

Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays. - Zhigang Zeng; Jun Wang 002 (Neural Comput., 2007)

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays. - Boshan Chen; Jun Wang 002 (Neural Networks, 2007)

An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis. - Wenwu Yu; Jinde Cao; Jun Wang 002 (Neural Networks, 2007)

Blind-Source Separation Based on Decorrelation and Nonstationarity. - Fuliang Yin; Tiemin Mei; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2007)

Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2007)

Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters. - Yi Shen 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2007)

A Recurrent Neural Network for Solving a Class of General Variational Inequalities. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Two neural network approaches to model predictive control. - Yunpeng Pan; Jun Wang 002 (ACC, 2008)

Obstacle Avoidance for Kinematically Redundant Manipulators Based on Recurrent Neural Networks. - Jun Wang 002 (ICIRA (1), 2008)

A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints. - Qingshan Liu 002; Jun Wang 002 (ICONIP (2), 2008)

An efficient centralized scheduling algorithm for IEEE 802.16 multi-radio mesh networks. - Jun Wang 002; Weijia Jia 001; Liusheng Huang (ICUIMC, 2008)

A one-layer recurrentneural network for convex programming. - Qingshan Liu 002; Jun Wang 002 (IJCNN, 2008)

Nonlinear model predictive control using a recurrent neural network. - Yunpeng Pan; Jun Wang 002 (IJCNN, 2008)

Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network. - Yunpeng Pan; Jun Wang 002 (ISNN (1), 2008)

Joint bandwidth allocation, element assignment and scheduling for wireless mesh networks with MIMO links. - Jun Wang 002; Peng Du; Weijia Jia 001; Liusheng Huang; Huan Li (Comput. Commun., 2008)

Interface assignment and bandwidth allocation for multi-channel wireless mesh networks. - Jun Wang 002; Huan Li; Weijia Jia 001; Liusheng Huang; Jingyuan Li 002 (Comput. Commun., 2008)

International Conference on Neural Information Processing (ICONIP 2006). - Irwin King; Jun Wang 002 (Neurocomputing, 2008)

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming. - Qingshan Liu 002; Jun Wang 002 (Neural Comput., 2008)

Two k-winners-take-all networks with discontinuous activation functions. - Qingshan Liu 002; Jun Wang 002 (Neural Networks, 2008)

Convergence Analysis of a Class of Nonsmooth Gradient Systems. - Wenlian Lu; Jun Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2008)

A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2008)

An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays. - Yi Shen 002; Jun Wang 002 (IEEE Trans. Neural Networks, 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)

Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks. - Zhigang Zeng; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Model predictive control for nonlinear affine systems based on the simplified dual neural network. - Yunpeng Pan; Jun Wang 002 (CCA/ISIC, 2009)

Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics. - Zhigang Zeng; Jun Wang 002; Tingwen Huang (ICANN (2), 2009)

Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates. - Zhigang Zeng; Jun Wang 002 (IJCNN, 2009)

Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks. - Zhigang Zeng; Jun Wang 002 (IJCNN, 2009)

Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks. - Xiaolin Hu 001; Jun Wang 002; Bo Zhang 010 (SMC, 2009)

2008 IEEE World Congress on Computational Intelligence (WCCI 2008) [Conference Reports]. - Jun Wang 002 (IEEE Comput. Intell. Mag., 2009)

Minimizing transmission time in 802.16-based multi-channel mesh networks. - Peng Du; Jun Wang 002; Weijia Jia 001; Liusheng Huang; Huan Li (Int. J. Pervasive Comput. Commun., 2009)

Guest Editorial. - Qi Luo; Ben K. M. Sim; Jun Wang 002 (J. Multim., 2009)

Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates. - Zhigang Zeng; Jun Wang 002 (Neural Networks, 2009)

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. - Jianchao Fan; Min Han 001; Jun Wang 002 (Pattern Recognit., 2009)

Blind Source Separation Based on Cumulants With Time and Frequency Non-Properties. - Tiemin Mei; Fuliang Yin; Jun Wang 002 (IEEE Trans. Speech Audio Process., 2009)

Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching. - Yi Shen 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2009)

A novel genetic programming based morphological image analysis algorithm. - Jun Wang 002; Ying Tan 002 (GECCO, 2010)

A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. - Qingshan Liu 002; Jun Wang 002 (ICANN (2), 2010)

A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. - Zhishan Guo; Jun Wang 002 (IJCNN, 2010)

Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays. - Jin Hu 005; Jun Wang 002 (IJCNN, 2010)

Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions. - Jun Wang 002; Zhishan Guo (ISNN (1), 2010)

A neurodynamic optimization approach to nonlinear model predictive control. - Yunpeng Pan; Jun Wang 002 (SMC, 2010)

Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction. - Xinzhe Wang; Min Han 001; Jun Wang 002 (Eng. Appl. Artif. Intell., 2010)

Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function. - Jun Wang 002 (IEEE Trans. Neural Networks, 2010)

Efficient Euclidean distance transform using perpendicular bisector segmentation. - Jun Wang 002; Ying Tan 002 (CVPR, 2011)

Morphological image enhancement procedure design by using genetic programming. - Jun Wang 002; Ying Tan 002 (GECCO, 2011)

A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. - Qingshan Liu 002; Jun Wang 002 (ICANN (2), 2011)

Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. - Zheng Yan 001; Jun Wang 002 (IJCNN, 2011)

Information retrieval from large data sets via multiple-winners-take-all. - Zhishan Guo; Jun Wang 002 (ISCAS, 2011)

A one-layer recurrent neural network for constrained single-ratio linear fractional programming. - Qingshan Liu 002; Jun Wang 002 (ISCAS, 2011)

Solving the Assignment Problem with the Improved Dual Neural Network. - Xiaolin Hu 001; Jun Wang 002 (ISNN (1), 2011)

A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method. - Jun Wang 002; Ying Tan 002 (ICSI (1), 2011)

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. - Zhishan Guo; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. - Min Han 001; Jianchao Fan; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks, 2011)

A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Recurrent Neural Networks with Discontinuous Activation Functions for Convex Optimization. - Qingshan Liu 002; Jun Wang 002 (Integration of Swarm Intelligence and Artificial Neural Network, 2011)

A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation. - Zheng Yan 001; Jun Wang 002 (IJCNN, 2012)

A two-pass clustering algorithm based on linear assignment initialization and k-means method. - Kin Luen Cheng; Jianchao Fan; Jun Wang 002 (ISCCSP, 2012)

Model predictive control of autonomous underwater vehicles based on the simplified dual neural network. - Zheng Yan 001; Siu Fong Chung; Jun Wang 002 (SMC, 2012)

Hausdorff Distance with k-Nearest Neighbors. - Jun Wang 002; Ying Tan 002 (ICSI (2), 2012)

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. - Qingshan Liu 002; Zhishan Guo; Jun Wang 002 (Neural Networks, 2012)

Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks. - Yunpeng Pan; Jun Wang 002 (IEEE Trans. Ind. Electron., 2012)

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Ind. Informatics, 2012)

Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays. - Jin Hu 005; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. - Decai Li; Min Han 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances. - Yi Shen 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

A neurodynamic optimization approach to robust pole assignment for synthesizing linear state feedback control systems. - Xinyi Le; Jun Wang 002 (CDC, 2013)

A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems. - Xinyi Le; Zheng Yan 001; Jun Wang 002 (ICIA, 2013)

Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network. - Zheng Yan 001; Jun Wang 002 (ICIA, 2013)

A Neurodynamic Optimization Approach to Robust Pole Assignment for Synthesizing Linear Control Systems Based on a Convex Feasibility Problem Reformulation. - Xinyi Le; Jun Wang 002 (ICONIP (1), 2013)

Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures. - Xinyi Le; Jun Wang 002 (IJCNN, 2013)

Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (Neural Networks, 2013)

A recurrent neural network for solving a class of generalized convex optimization problems. - Alireza Hosseini; Jun Wang 002; Seyed Mohammad Hosseini 002 (Neural Networks, 2013)

Efficient Euclidean distance transform algorithm of binary images in arbitrary dimensions. - Jun Wang 002; Ying Tan 002 (Pattern Recognit., 2013)

A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2013)

A neurodynamic optimization approach to robust pole assignment based on convex reformulation. - Xinyi Le; Jun Wang 002 (CCA, 2014)

Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network. - Jianchao Fan; Dongzhi Zhao; Jun Wang 002 (IJCNN, 2014)

Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems. - Xinyi Le; Zheng Yan 001; Jun Wang 002 (IJCNN, 2014)

Neurodynamics-based model predictive control of autonomous underwater vehicles in vertical plane. - Zhiying Liu; Xinzhe Wang; Jun Wang 002 (IJCNN, 2014)

Model predictive control of multi-robot formation based on the simplified dual neural network. - Xinzhe Wang; Zheng Yan 001; Jun Wang 002 (IJCNN, 2014)

Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation. - Xinyi Le; Jun Wang 002; Zheng Yan 001 (INISTA, 2014)

PolSAR Image Segmentation Based on the Modified Non-negative Matrix Factorization and Support Vector Machine. - Jianchao Fan; Jun Wang 002; Dongzhi Zhao (ISNN, 2014)

Multistability and Multiperiodicity Analysis of Complex-Valued Neural Networks. - Jin Hu 005; Jun Wang 002 (ISNN, 2014)

Neurodynamics-Based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles. - Xinzhe Wang; Jun Wang 002 (ISNN, 2014)

Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network. - Zheng Yan 001; Xinyi Le; Jun Wang 002 (TPNC, 2014)

Model predictive control of servo motor driven constant pump hydraulic system in injection molding process based on neurodynamic optimization. - Yonggang Peng; Jun Wang 002; Wei Wei 024 (J. Zhejiang Univ. Sci. C, 2014)

A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (Neural Networks, 2014)

A one-layer recurrent neural network for constrained nonsmooth invex optimization. - Guocheng Li; Zheng Yan 001; Jun Wang 002 (Neural Networks, 2014)

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization. - Zheng Yan 001; Jun Wang 002; Guocheng Li (Neural Networks, 2014)

Editorial: The Transactions in Transition. - Jun Wang 002 (IEEE Trans. Cybern., 2014)

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. - Jianchao Fan; Jun Wang 002; Min Han 001 (IEEE Trans. Fuzzy Syst., 2014)

Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks. - Xinyi Le; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems. - Qingshan Liu 002; Tingwen Huang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Dynamic particle swarm optimization using a wavelet mutation strategy for composite function optimization. - Jianchao Fan; Jun Wang 002 (ICACI, 2015)

A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment. - Xinyi Le; Jun Wang 002 (IJCNN, 2015)

A Neurodynamic Optimization Approach to Bilevel Linear Programming. - Sitian Qin; Xinyi Le; Jun Wang 002 (ISNN, 2015)

Advances in neural networks. - Jun Wang 002; Zhigang Zeng; Zeng-Guang Hou (Neurocomputing, 2015)

Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays. - Jin Hu 002; Jun Wang 002 (Neural Networks, 2015)

A one-layer recurrent neural network for constrained nonconvex optimization. - Guocheng Li; Zheng Yan 001; Jun Wang 002 (Neural Networks, 2015)

Convergence and attractivity of memristor-based cellular neural networks with time delays. - Sitian Qin; Jun Wang 002; Xiaoping Xue 001 (Neural Networks, 2015)

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

A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2015)

A Delay-Distribution Approach to Stabilization of Networked Control Systems. - Bin Tang; Jun Wang 002; Yun Zhang 001 (IEEE Trans. Control. Netw. Syst., 2015)

Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling. - Zhenyuan Guo; Shaofu Yang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems. - Xinyi Le; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Passivity of Switched Recurrent Neural Networks With Time-Varying Delays. - Jie Lian; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Projection Neural Network for Constrained Quadratic Minimax Optimization. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization. - Zheng Yan 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 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)

Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling. - Zhenyuan Guo; Jun Wang 002; Zheng Yan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling. - Shaofu Yang; Zhenyuan Guo; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Neurodynamics. - Robert Kozma 001; Jun Wang 002; Zhigang Zeng (Handbook of Computational Intelligence, 2015)

A two-time-scale neurodynamic approach to robust pole assignment. - Xinyi Le; Jun Wang 002 (ICACI, 2016)

Multiple-objective optimization based on a two-time-scale neurodynamic system. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (ICACI, 2016)

Superpixel-based sparse representation classifier for hyperspectral image. - Min Han 001; Chengkun Zhang; Jun Wang 002 (IJCNN, 2016)

An EEG-Based brain-computer interface for emotion recognition. - Jiahui Pan; Yuanqing Li 001; Jun Wang 002 (IJCNN, 2016)

Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. - Min Han 001; Chengkun Zhang; Jun Wang 002 (ISNN, 2016)

An indoor localization system based on backscatter RFID tag. - Jun Wang 002; Yiyin Wang; Xinping Guan (WCNC, 2016)

Advances in Neural Networks, Intelligent Control and Information Processing. - Qingshan Liu 002; Jun Wang 002; Zhigang Zeng (Neurocomputing, 2016)

Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control. - Zhenyuan Guo; Shaofu Yang; Jun Wang 002 (Neural Networks, 2016)

Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (Neural Networks, 2016)

Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization. - Zheng Yan 001; Xinyi Le; Jun Wang 002 (IEEE Trans. Ind. Electron., 2016)

L1-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network. - Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2016)

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

Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Mixed Time Delays. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Robustness of Global Exponential Stability of Nonlinear Systems With Random Disturbances and Time Delays. - Yi Shen 002; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Robust pole assignment for synthesizing fractional-order control systems via neurodynamic optimization. - Tianyu Yang; Xinyi Le; Jun Wang 002 (ICCA, 2017)

A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition. - Jianchao Fan; Jun Wang 002 (ISNN (2), 2017)

State Estimation for Autonomous Surface Vehicles Based on Echo State Networks. - Zhouhua Peng; Jun Wang 002; Dan Wang 001 (ISNN (1), 2017)

Saturated Kinetic Control of Autonomous Surface Vehicles Based on Neural Networks. - Zhouhua Peng; Jun Wang 002; Dan Wang 001 (ISNN (2), 2017)

Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (Neural Comput., 2017)

Complete stability of delayed recurrent neural networks with Gaussian activation functions. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (Neural Networks, 2017)

A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2017)

Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback. - Zhouhua Peng; Jun Wang 002; Dan Wang 001 (IEEE Trans. Ind. Electron., 2017)

A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization. - Jianchao Fan; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization. - Xinyi Le; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Collective Neurodynamic Approach to Distributed Constrained Optimization. - Qingshan Liu 002; Shaofu Yang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form. - Zhouhua Peng; Dan Wang 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming. - Sitian Qin; Xinyi Le; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Collective Neurodynamic Approach to Constrained Global Optimization. - Zheng Yan 001; Jianchao Fan; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions. - Shaofu Yang; Zhenyuan Guo; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multiple Mittag-Leffler Stability of Fractional-Order Recurrent Neural Networks. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Collaborative Neurodynamic Optimization: Biologically and Socially Plausible Approaches to Distributed, Global and Multiple-objective Optimization. - Jun Wang 002 (CoDIT, 2018)

A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. - Hangjun Che; Jun Wang 002 (ICONIP (2), 2018)

An Analog Circuit Design for k-Winners-Take-All Operations. - Xiaoyang Liu; Jun Wang 002 (ICONIP (7), 2018)

Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles. - Jiasen Wang; Jun Wang 002 (ICONIP (7), 2018)

A Neurodynamic Approach to Multiobjective Linear Programming. - Man-Fai Leung; Jun Wang 002 (ISNN, 2018)

Task Assignment Based on a Dual Neural Network. - Jiasen Wang; Jun Wang 002 (ISNN, 2018)

Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder. - Yuanyuan Hu; Jianchao Fan; Jun Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2018)

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. - Hangjun Che; Jun Wang 002 (Neural Networks, 2018)

Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation. - Zhouhua Peng; Jun Wang 002; Dan Wang 001 (IEEE Trans. Control. Syst. Technol., 2018)

A Two-Phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization With Its Application for PolSAR Image Segmentation. - Jianchao Fan; Jun Wang 002 (IEEE Trans. Fuzzy Syst., 2018)

A Collaborative Neurodynamic Approach to Multiobjective Optimization. - Man-Fai Leung; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

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

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization. - Shaofu Yang; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays. - Xian-Ming Zhang; Qing-Long Han; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks. - Zhouhua Peng; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

A Collaborative Neurodynamic Approach to Sparse Coding. - Hangjun Che; Jun Wang 002; Wei Zhang 002 (ISNN (1), 2019)

A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection. - Man-Fai Leung; Jun Wang 002 (ISNN (1), 2019)

Neurodynamics-Based Receding Horizon Control of an HVAC System. - Jiasen Wang; Jun Wang 002; Shenshen Gu (ISNN (2), 2019)

A collaborative neurodynamic approach to global and combinatorial optimization. - Hangjun Che; Jun Wang 002 (Neural Networks, 2019)

Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (IEEE Trans. Autom. Control., 2019)

Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws. - Shaofu Yang; Jun Wang 002; Qingshan Liu 002 (IEEE Trans. Autom. Control., 2019)

Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization. - Zhouhua Peng; Jun Wang 002; Qing-Long Han (IEEE Trans. Ind. Electron., 2019)

Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation. - Zhouhua Peng; Jiasen Wang; Jun Wang 002 (IEEE Trans. Ind. Electron., 2019)

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. - Hangjun Che; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching. - Zhenyuan Guo; Linlin Liu; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Time-series Prediction Based on VMD and Stack Recurrent Neural Network. - Tao Jiang; Min Han 001; Jun Wang 002 (ICACI, 2020)

Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. - Weijie Li; Min Han 001; Jun Wang 002 (ICACI, 2020)

Sparse Nonnegative Matrix Factorization Based on a Hyperbolic Tangent Approximation of L0-Norm and Neurodynamic Optimization. - Xinqi Li; Jun Wang 002; Sam Kwong (ICACI, 2020)

Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update. - Junzhu Ma; Min Han 001; Jun Wang 002 (ICACI, 2020)

A Neurodynamic Approach to L0-Constrained Optimization. - Yadi Wang; Xiaoping Li 001; Jun Wang 002 (ICACI, 2020)

Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002; Dongbin Zhao (ISNN, 2020)

A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization. - Xinqi Li; Jun Wang 002; Sam Kwong (Neural Comput., 2020)

Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching. - Zhenyuan Guo; Shiqin Ou; Jun Wang 002 (Neural Networks, 2020)

Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay. - Peng Liu 038; Zhigang Zeng; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002; Hangjun Che (IEEE Trans. Neural Networks Learn. Syst., 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)

Multistability of Recurrent Neural Networks With Piecewise-Linear Radial Basis Functions and State-Dependent Switching Parameters. - Zhenyuan Guo; Linlin Liu; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Secrecy Capacity Maximization in Wireless Wiretap Channel: A Neurodynamic Optimization Approach. - Hongyan Yu; Baojie Zhang; Tong Wang; Jun Wang 002 (ICACI, 2021)

Adaptive Curriculum Learning. - Yajing Kong; Liu Liu 014; Jun Wang 002; Dacheng Tao (ICCV, 2021)

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. - Salman Ahmadi-Asl; Cesar F. Caiafa; Andrzej Cichocki; Anh Huy Phan 001; Toshihisa Tanaka 001; Ivan V. Oseledets; Jun Wang 002 (IEEE Access, 2021)

Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances. - Zhenyuan Guo; Jingxuan Ci; Jun Wang 002 (Neural Networks, 2021)

A neurodynamic optimization approach to supervised feature selection via fractional programming. - Yadi Wang; Xiaoping Li 001; Jun Wang 002 (Neural Networks, 2021)

Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. - Yadi Wang; Jun Wang 002; Hangjun Che (Neural Networks, 2021)

Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers. - Zhouhua Peng; Lu Liu 003; Jun Wang 002 (IEEE Trans. Cybern., 2021)

Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems. - Binbin Hu; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Ind. Electron., 2021)

Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing. - Zhouhua Peng; Yue Jiang; Jun Wang 002 (IEEE Trans. Ind. Electron., 2021)

An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles. - Zhouhua Peng; Jun Wang 002; Dan Wang 001; Qing-Long Han (IEEE Trans. Ind. Informatics, 2021)

A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. - Hangjun Che; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls. - Zhenyuan Guo; Shiqin Wang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization. - Man-Fai Leung; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multiple and Complete Stability of Recurrent Neural Networks With Sinusoidal Activation Function. - Peng Liu 038; Jun Wang 002; Zhenyuan Guo (IEEE Trans. Neural Networks Learn. Syst., 2021)

Data-Driven Adaptive Disturbance Observers for Model-Free Trajectory Tracking Control of Maritime Autonomous Surface Ships. - Zhouhua Peng; Dan Wang 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multivehicle Task Assignment Based on Collaborative Neurodynamic Optimization With Discrete Hopfield Networks. - Jiasen Wang; Jun Wang 002; Qing-Long Han (IEEE Trans. Neural Networks Learn. Syst., 2021)

Secure State Estimation and Control of Cyber-Physical Systems: A Survey. - Derui Ding; Qing-Long Han; Xiaohua Ge; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Cross Tensor Approximation for Image and Video Completion. - Salman Ahmadi-Asl; Maame Gyamfua Asante-Mensah; Andrzej Cichocki; Anh Huy Phan 001; Ivan V. Oseledets; Jun Wang 002 (CoRR, 2022)

A Scalable Adaptive Approach to Multi-Vehicle Formation Control with Obstacle Avoidance. - Xiaohua Ge; Qing-Long Han; Jun Wang 002; Xian-Ming Zhang (IEEE CAA J. Autom. Sinica, 2022)

Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002; Qing-Long Han (IEEE CAA J. Autom. Sinica, 2022)

Balanced clustering based on collaborative neurodynamic optimization. - Xiangguang Dai; Jun Wang 002; Wei Zhang 158 (Knowl. Based Syst., 2022)

Collaborative annealing power k-means++ clustering. - Hongzong Li; Jun Wang 002 (Knowl. Based Syst., 2022)

MDOAU-Net: A Lightweight and Robust Deep Learning Model for SAR Image Segmentation in Aquaculture Raft Monitoring. - Jichao Wang; Jianchao Fan; Jun Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Sparse signal reconstruction via collaborative neurodynamic optimization. - Hangjun Che; Jun Wang 002; Andrzej Cichocki (Neural Networks, 2022)

Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization. - Man-Fai Leung; Jun Wang 002 (Neural Networks, 2022)

Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. - Man-Fai Leung; Jun Wang 002; Hangjun Che (Neural Networks, 2022)

Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines. - Xinqi Li; Jun Wang 002; Sam Kwong (Neural Networks, 2022)

A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints. - Na Liu; Jun Wang 002; Sitian Qin (Neural Networks, 2022)

Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems. - Man-Fai Leung; Jun Wang 002; Duan Li 002 (IEEE Trans. Cybern., 2022)

Hash Bit Selection Based on Collaborative Neurodynamic Optimization. - Xinqi Li; Jun Wang 002; Sam Kwong (IEEE Trans. Cybern., 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)

Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization. - Wei Zhou 035; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Cybern., 2022)

An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures. - Wei Zhou 035; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching. - Zhenyuan Guo; Shiqin Ou; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks. - Xinqi Li; Jun Wang 002; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming. - Jiasen Wang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. - Junhong Zhao; Jie Yang 007; Jun Wang 002; Wei Wu 010 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Finite-Time and Fixed-Time Synchronization of Coupled Switched Neural Networks Subject to Stochastic Disturbances. - Zhenyuan Guo; Hui Xie; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Scalable and Resilient Platooning Control of Cooperative Automated Vehicles. - Xiaohua Ge; Qing-Long Han; Jun Wang 002; Xian-Ming Zhang (IEEE Trans. Veh. Technol., 2022)

Fast Adaptive Cross Tubal Tensor Approximation. - Salman Ahmadi-Asl; Anh Huy Phan 001; Andrzej Cichocki; Ashish Jha; Anastasia Sozykina; Jun Wang 002; Ivan V. Oseledets (SSP, 2023)

Adaptive Cross Tubal Tensor Approximation. - Salman Ahmadi-Asl; Anh Huy Phan 001; Andrzej Cichocki; Anastasia Sozykina; Zaher Al Aghbari; Jun Wang 002; Ivan V. Oseledets (CoRR, 2023)

Neurodynamics-driven portfolio optimization with targeted performance criteria. - Jun Wang 002; Xin Gan (Neural Networks, 2023)

Neurodynamics-driven holistic approaches to semi-supervised feature selection. - Yadi Wang; Jun Wang 002 (Neural Networks, 2023)

Cooperative Particle Swarm Optimization With a Bilevel Resource Allocation Mechanism for Large-Scale Dynamic Optimization. - Xiao-Fang Liu; Jun Zhang 003; Jun Wang 002 (IEEE Trans. Cybern., 2023)

A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. - Jianchao Fan; Jianlin Zhou; Xinzhe Wang; Jun Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Flexible Formation Tracking Control of Multiple Unmanned Surface Vessels for Navigating Through Narrow Channels with Unknown Curvatures. - Chuancong Tang; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Ind. Electron., 2023)

A Bi-Event-Triggered Multi-Agent System for Distributed Optimization. - Banghua Huang; Yang Liu 040; Zicong Xia; Jun Wang 002 (IEEE Trans. Netw. Sci. Eng., 2023)

Chiller Plant Operation Planning via Collaborative Neurodynamic Optimization. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview. - Nan Gu; Dan Wang 001; Zhouhua Peng; Jun Wang 002; Qing-Long Han (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Barrier-Certified Distributed Model Predictive Control of Under-Actuated Autonomous Surface Vehicles via Neurodynamic Optimization. - Guanghao Lv; Zhouhua Peng; Lu Liu 003; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

CAPKM++2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm. - Hongzong Li; Jun Wang 002 (Knowl. Based Syst., 2023)

Multistability of Fuzzy Neural Networks With a General Class of Activation Functions and State-Dependent Switching Rules. - Shiqin Ou; Zhenyuan Guo; Jun Wang 002 (IEEE Trans. Fuzzy Syst., 2023)

Constrained Control of Autonomous Surface Vehicles for Multitarget Encirclement via Fuzzy Modeling and Neurodynamic Optimization. - Yue Jiang; Zhouhua Peng; Jun Wang 002 (IEEE Trans. Fuzzy Syst., 2023)

Optimal Chiller Loading Based on Collaborative Neurodynamic Optimization. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Ind. Informatics, 2023)

An Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria. - Peng Liu 038; Jun Wang 002; Zhigang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fractional-Order Vectorial Halanay-Type Inequalities With Applications for Stability and Synchronization Analyses. - Peng Liu 038; Jun Wang 002; Zhigang Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. - Filipp Skomorokhov; Jun Wang 002; George V. Ovchinnikov; Evgeny Burnaev; Ivan V. Oseledets (Expert Syst. Appl., 2023)

Neurodynamics-driven supervised feature selection. - Yadi Wang; Jun Wang 002; Dacheng Tao (Pattern Recognit., 2023)

Multistability of Fuzzy Neural Networks With Rectified Linear Units and State-Dependent Switching Rules. - Shiqin Ou; Zhenyuan Guo; Jun Wang 002 (IEEE Trans. Fuzzy Syst., 2023)

A Collaborative Neurodynamic Approach to Distributed Global Optimization. - Zicong Xia; Yang Liu 040; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions. - Nan Gu; Dan Wang 001; Zhouhua Peng; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Safety-Certified Constrained Control of Maritime Autonomous Surface Ships for Automatic Berthing. - Zhouhua Peng; Chen Wang; Yong Yin; Jun Wang 002 (IEEE Trans. Veh. Technol., 2023)

Two-timescale recurrent neural networks for distributed minimax optimization. - Zicong Xia; Yang Liu 040; Jiasen Wang; Jun Wang 002 (Neural Networks, 2023)

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. - Hangjun Che; Jun Wang 002; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2023)

Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays. - Peng Liu 038; Jun Wang 002; Zhigang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fault-Tolerant Control of Autonomous Surface Vessels Subject to Steer Jamming for Harbor Returning. - Bin Liu; Hai-Tao Zhang; Haofei Meng; Jun Wang 002 (IEEE Trans. Ind. Electron., 2023)

Event-Triggered Cardinality-Constrained Cooling and Electrical Load Dispatch Based on Collaborative Neurodynamic Optimization. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Neural Networks Learn. Syst., 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)

Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks. - Zicong Xia; Yang Liu 040; Kit Ian Kou; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fast cross tensor approximation for image and video completion. - Salman Ahmadi-Asl; Maame Gyamfua Asante-Mensah; Andrzej Cichocki; Anh-Huy Phan 001; Ivan V. Oseledets; Jun Wang 002 (Signal Process., 2023)

Cooperative Differential Evolution With an Attention-Based Prediction Strategy for Dynamic Multiobjective Optimization. - Xiao-Fang Liu; Jun Zhang 003; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Optimizing the Hyperparameters of Fully Convolutional Encoder-Decoder Networks for SAR Image Segmentation. - Yuanyue Liu; Jin Zhao; Jianchao Fan; Jun Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

Binary matrix factorization via collaborative neurodynamic optimization. - Hongzong Li; Jun Wang 002; Nian Zhang; Wei Zhang (Neural Networks, 2024)

A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization. - Yangxia Li; Zicong Xia; Yang Liu 040; Jun Wang 002 (Neural Networks, 2024)

Hybrid Model Predictive Control of Chiller Systems via Collaborative Neurodynamic Optimization. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Ind. Informatics, 2024)

Receding-Horizon Chiller Operation Planning via Collaborative Neurodynamic Optimization. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Smart Grid, 2024)

Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization. - Banghua Huang; Yang Liu 040; Yun-Liang Jiang; Jun Wang 002 (Neural Networks, 2024)

An event-triggered collaborative neurodynamic approach to distributed global optimization. - Zicong Xia; Yang Liu 040; Jun Wang 002 (Neural Networks, 2024)

A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function. - Yanling Zheng; Qingshan Liu 002; Jun Wang 002 (IEEE Trans. Autom. Control., 2024)

Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. - Xinjie Wang 002; Yaochu Jin; Wenli Du; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy $c$-Means Algorithm. - Hongzong Li; Jun Wang 002 (IEEE Trans. Fuzzy Syst., 2024)

Distributed Chiller Loading via Collaborative Neurodynamic Optimization With Heterogeneous Neural Networks. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Safety-Certified Multi-Target Circumnavigation With Autonomous Surface Vehicles via Neurodynamics-Driven Distributed Optimization. - Yue Jiang; Zhouhua Peng; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Collaborative Neurodynamic Optimization Approach to Distributed Nash-Equilibrium Seeking in Multicluster Games With Nonconvex Functions. - Zicong Xia; Yang Liu 040; Wenwu Yu; Jun Wang 002 (IEEE Trans. Cybern., 2024)

Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization. - Hongzong Li; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

LFT: Neural Ordinary Differential Equations With Learnable Final-Time. - Dong Pang; Xinyi Le; Xinping Guan; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Supervised Feature Selection via Collaborative Neurodynamic Optimization. - Yadi Wang; Jun Wang 002; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2024)

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

Finite-Time Projective Synchronization of Hyperjerk Systems Modeled With Fuzzy Recurrent Neural Networks. - Baojie Zhang; Jun Wang 002; Yuming Feng; Zihui Zhang (IEEE Trans. Fuzzy Syst., 2024)

A Collaborative Neurodynamic Optimization Approach to Distributed Chiller Loading. - Zhongying Chen; Jun Wang 002; Qing-Long Han (IEEE Trans. Neural Networks Learn. Syst., 2024)

Time-Varying Formation Control of Autonomous Surface Vehicles Based on Affine Observer. - Chuancong Tang; Hai-Tao Zhang; Haosen Cao; Jun Wang 002 (IEEE Trans. Ind. Electron., 2024)

A Duplex Neurodynamic Learning Approach to Modeling Nonlinear Systems. - Xiang Huang; Hai-Tao Zhang; Guanrong Chen; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Data-Driven Bayesian Koopman Learning Method for Modeling Hysteresis Dynamics. - Xiang Huang; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Safety-Critical Receding-Horizon Planning and Formation Control of Autonomous Surface Vehicles via Collaborative Neurodynamic Optimization. - Guanghao Lyu; Zhouhua Peng; Jun Wang 002 (IEEE Trans. Cybern., 2024)

Sparse Bayesian Learning for Switching Network Identification. - Yaozhong Zheng; Hai-Tao Zhang; Zuogong Yue; Jun Wang 002 (IEEE Trans. Cybern., 2024)

Privacy-preserving filtering, control and optimization for industrial cyber-physical systems. - Derui Ding; Qing-Long Han; Xiaohua Ge; Xian-Ming Zhang; Jun Wang 002 (Sci. China Inf. Sci., 2025)

Noise-resistant sharpness-aware minimization in deep learning. - Dan Su; Long Jin; Jun Wang 002 (Neural Networks, 2025)

NRGAN: A Noise-resilient GAN with adaptive feature modulation for SAR image segmentation. - Shuo Lian; Jianchao Fan; Jun Wang 002 (Pattern Recognit., 2025)

Planning Cyclic Queuing and Forwarding for Time-Sensitive Networking via Heuristic and Neurodynamic Optimization. - Jiasen Wang; Jun Wang 002 (IEEE Trans. Netw. Sci. Eng., 2025)

Guest Editorial Special Issue on AI-Powered Planning and Control of Autonomous Marine Vehicles. - Jun Wang 002; Tieshan Li (IEEE Trans. Syst. Man Cybern. Syst., 2025)

A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization. - Hongzong Li; Jun Wang 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Index Tracking via Sparse Bayesian Regression and Collaborative Neurodynamic Optimization. - Fangyu Zhang; Jun Wang 002 (IEEE Trans. Cybern., 2025)

Generative Probabilistic Meta-Learning for Few-Shot Image Classification. - Meijun Fu; Xiaomin Wang; Jun Wang 002; Zhang Yi 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Safety-Certified Receding-Horizon Motion Planning and Containment Control of Autonomous Surface Vehicles via Neurodynamic Optimization. - Guanghao Lyu; Zhouhua Peng; Dan Wang 001; Jun Wang 002 (IEEE Trans. Intell. Veh., 2025)

Prototype Bayesian Meta-Learning for Few-Shot Image Classification. - Meijun Fu; Xiaomin Wang; Jun Wang 002; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Differentially Private and Communication-Efficient Federated Learning for AIoT: The Perspective of Denoising and Sparsification. - Long Li 005; Zhenshen Liu; Xiyan Sun; Liang Chang 003; Rushi Lan; Jingjing Li 003; Jun Wang 002 (IEEE Internet Things J., 2025)

Identifying Community-Bridge Network Structures via Bayesian Learning With Mixed Sparsity Mode. - Yaozhong Zheng; Hai-Tao Zhang; Zuogong Yue; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Portfolio Selection by Maximizing Various Risk-Adjusted Return Ratios via Convex Reformulations. - Jun Wang 002; Fangyu Zhang; Wei Zhang 158 (IEEE Trans. Comput. Soc. Syst., 2025)

CIS Publication Spotlight [Publication Spotlight]. - Yongduan Song; Dongrui Wu; Carlos A. Coello Coello; Georgios N. Yannakakis; Huajin Tang; Yiu-Ming Cheung; Jun Wang 002 (IEEE Comput. Intell. Mag., 2025)

Index Tracking via Temporally Weighted Least Squares and Gaussian Process Regressions. - Fangyu Zhang; Jun Wang 002 (IEEE Trans. Cybern., 2025)