Global Exponential Stability and Global Convergence in Finite Time of Neural Networks with Discontinuous Activations. - Sitian Qin; Xiaoping Xue 001 (Neural Process. Lett., 2009)

Dynamical behavior of a class of nonsmooth gradient-like systems. - Sitian Qin; Xiaoping Xue 001 (Neurocomputing, 2010)

Evolution inclusions with Clarke subdifferential type in Hilbert space. - Sitian Qin; Xiaoping Xue 001 (Math. Comput. Model., 2010)

Dynamical Analysis of Neural Networks of Subgradient System. - Sitian Qin; Xiaoping Xue 001 (IEEE Trans. Autom. Control., 2010)

Training Least-Square SVM by a Recurrent Neural Network Based on Fuzzy c-mean Approach. - Fengqiu Liu; Jianmin Wang 004; Sitian Qin (ICSI (2), 2013)

A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. - Sitian Qin; Wei Bian; Xiaoping Xue 001 (Neurocomputing, 2013)

Global exponential stability of almost periodic solution of delayed neural networks with discontinuous activations. - Sitian Qin; Xiaoping Xue 001; Peng Wang (Inf. Sci., 2013)

A simplified recurrent neural network for pseudoconvex optimization subject to linear equality constraints. - Sitian Qin; Dejun Fan; Peng Su; Qinghe Liu (Commun. Nonlinear Sci. Numer. Simul., 2014)

Convergence analysis for second-order interval Cohen-Grossberg neural networks. - Sitian Qin; Jing-Xue Xu; Xin Shi (Commun. Nonlinear Sci. Numer. Simul., 2014)

Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions. - Sitian Qin; Dejun Fan; Ming Yan; Qinghe Liu (Neural Process. Lett., 2014)

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

Neural network for constrained nonsmooth optimization using Tikhonov regularization. - Sitian Qin; Dejun Fan; Guangxi Wu; Lijun Zhao (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)

A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems. - Sitian Qin; Xiaoping Xue 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Exponential Stability of Anti-periodic Solution of Cohen-Grossberg Neural Networks with Mixed Delays. - Sitian Qin; Yongyi Tan; Fuqiang Wang (ISNN, 2016)

Global exponential stability of uncertain neural networks with discontinuous Lurie-type activation and mixed delays. - Sitian Qin; Qun Cheng; Guofang Chen (Neurocomputing, 2016)

A neurodynamic approach to convex optimization problems with general constraint. - Sitian Qin; Yadong Liu; Xiaoping Xue 001; Fuqiang Wang (Neural Networks, 2016)

Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays. - Jiqiang Feng; Qiang Ma 004; Sitian Qin (Int. J. Pattern Recognit. Artif. Intell., 2017)

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints. - Sitian Qin; Xiudong Yang; Xiaoping Xue 001; Jiahui Song (IEEE Trans. Cybern., 2017)

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

Recurrent neural network for complex-variable pseudoconvex optimization with equality constraints. - Xingnan Wen; Wen Han; Sitian Qin (ICACI, 2018)

An Artificial Neural Network for Distributed Constrained Optimization. - Na Liu; Wenwen Jia; Sitian Qin; Guocheng Li (ICONIP (2), 2018)

An Artificial Neural Network for Solving Quadratic Zero-One Programming Problems. - Wen Han; Su Yan; Xingnan Wen; Sitian Qin; Guocheng Li (ISNN, 2018)

A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems. - Jiqiang Feng; Sitian Qin; Fengli Shi; Xiaoyue Zhao (Neural Comput. Appl., 2018)

Neural network for nonsmooth pseudoconvex optimization with general convex constraints. - Wei Bian; Litao Ma; Sitian Qin; Xiaoping Xue 001 (Neural Networks, 2018)

A One-Layer Recurrent Neural Network for Constrained Complex-Variable Convex Optimization. - Sitian Qin; Jiqiang Feng; Jiahui Song; Xingnan Wen; Chen Xu 004 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. - Xinrui Jiang; Sitian Qin; Ping Guo 002 (ISNN (2), 2019)

A Neural Network for Constrained Fuzzy Convex Optimization Problems. - Na Liu; Han Zhang; Sitian Qin (SSCI, 2019)

A neurodynamic approach to compute the generalized eigenvalues of symmetric positive matrix pair. - Jiqiang Feng; Su Yan; Sitian Qin; Wen Han (Neurocomputing, 2019)

Complex Zhang neural networks for complex-variable dynamic quadratic programming. - Qiang Ma 004; Sitian Qin; Tao Jin (Neurocomputing, 2019)

Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays. - Jianmin Wang 004; Fengqiu Liu; Sitian Qin (Int. J. Mach. Learn. Cybern., 2019)

A generalized neural network for distributed nonsmooth optimization with inequality constraint. - Wenwen Jia; Sitian Qin; Xiaoping Xue 001 (Neural Networks, 2019)

A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints. - Na Liu; Sitian Qin (Neural Networks, 2019)

A Novel Neurodynamic Approach to Constrained Complex-Variable Pseudoconvex Optimization. - Na Liu; Sitian Qin (IEEE Trans. Cybern., 2019)

A Neural Network for Distributed Optimization over Multiagent Networks. - Jiazhen Wei; Sitian Qin; Wei Bian (ISNN, 2020)

A Neural Network for Moore-Penrose Inverse of Time-Varying Complex-Valued Matrices. - Yiyuan Chai; Haojin Li; Defeng Qiao; Sitian Qin; Jiqiang Feng (Int. J. Comput. Intell. Syst., 2020)

A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization. - Xinrui Jiang; Sitian Qin; Xiaoping Xue 001 (Neurocomputing, 2020)

An inverse-free Zhang neural dynamic for time-varying convex optimization problems with equality and affine inequality constraints. - Shuai Shao; Haojin Li; Sitian Qin; Guocheng Li; Cheng Luo (Neurocomputing, 2020)

A subgradient-based continuous-time algorithm for constrained distributed quadratic programming. - Xinrui Jiang; Sitian Qin; Xiaoping Xue 001 (J. Frankl. Inst., 2020)

Exponential stability of periodic solution for a memristor-based inertial neural network with time delays. - Sitian Qin; Liyuan Gu; Xinyu Pan (Neural Comput. Appl., 2020)

A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. - Chen Xu 004; Yiyuan Chai; Sitian Qin; Zhenkun Wang 001; Jiqiang Feng (Neural Networks, 2020)

Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays. - Sitian Qin; Qiang Ma 004; Jiqiang Feng; Chen Xu 004 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Distributed Network Flow to Solve Constrained Linear Matrix Equation. - Yiyuan Chai; Jiqiang Feng; Chen Xu 004; Sitian Qin (ICACI, 2021)

Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. - Sitian Qin; Shenshen Gu; Nian Zhang (Cybern. Syst., 2021)

An Efficient Neurodynamic Approach to Fuzzy Chance-constrained Programming. - Litao Ma; Jiqiang Chen; Sitian Qin; Lina Zhang; Feng Zhang (Int. J. Artif. Intell. Tools, 2021)

Neural networks with finite-time convergence for solving time-varying linear complementarity problem. - Haojin Li; Shuai Shao; Sitian Qin; Yunbo Yang (Neurocomputing, 2021)

A power reformulation continuous-time algorithm for nonconvex distributed constrained optimization over multi-agent systems. - Na Liu; Shijie Zhao; Sitian Qin (Neurocomputing, 2021)

Exponential bipartite synchronization of delayed coupled systems over signed graphs with Markovian switching via intermittent control. - Mengxin Wang; Jia Guo; Sitian Qin; Jiqiang Feng; Wenxue Li (J. Frankl. Inst., 2021)

A nonautonomous-differential-inclusion neurodynamic approach for nonsmooth distributed optimization on multi-agent systems. - Xingnan Wen; Yixuan Wang; Sitian Qin (Neural Comput. Appl., 2021)

A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems. - Xingnan Wen; Linhua Luan; Sitian Qin (Neural Networks, 2021)

Continuous-Time Algorithm for Approximate Distributed Optimization With Affine Equality and Convex Inequality Constraints. - Xinrui Jiang; Sitian Qin; Xiaoping Xue 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Neurodynamic Approach to Nonsmooth Quaternion Distributed Convex Optimization With Inequality and Affine Equality Constraints. - Guocheng Li; Linhua Luan; Sitian Qin; Jiqiang Feng (IEEE Access, 2022)

A neurodynamic optimization approach to nonconvex resource allocation problem. - Yiyuan Chai; Guocheng Li; Sitian Qin; Jiqiang Feng; Chen Xu 004 (Neurocomputing, 2022)

Feedback neural network for constrained bi-objective convex optimization. - Na Liu; Zhiyuan Su; Yueting Chai; Sitian Qin (Neurocomputing, 2022)

An adaptive penalty-like continuous-time algorithm to constrained distributed convex optimization. - Wenwen Jia; Sitian Qin (J. Frankl. Inst., 2022)

Neurodynamic algorithms for constrained distributed convex optimization over fixed or switching topology with time-varying communication delay. - Linhua Luan; Sitian Qin (Neural Comput. Appl., 2022)

A second-order accelerated neurodynamic approach for distributed convex optimization. - Xinrui Jiang; Sitian Qin; Xiaoping Xue 001; Xinzhi Liu (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)

An Adaptive Continuous-Time Algorithm for Nonsmooth Convex Resource Allocation Optimization. - Wenwen Jia; Na Liu; Sitian Qin (IEEE Trans. Autom. Control., 2022)

Convergence analysis of the nontrivial stationary solution of the memristor-based neural networks with reaction-diffusion terms. - Helin Wang; Xinrui Jiang; Sitian Qin; Wei Zhang 158; Yuming Feng (ICACI, 2023)

Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses. - Linhua Luan; Yining Liu; Sitian Qin; Jiqiang Feng (ICONIP (1), 2023)

Distributed Generalized Nash Equilibrium Seeking for Noncooperative Game Under Intermittent Communication. - Mengxin Wang; Sitian Qin; Changyun Wen (IECON, 2023)

Two-stage continuous-time triggered algorithms for constrained distributed optimization over directed graphs. - Na Liu; Han Zhang; Yueting Chai; Sitian Qin (J. Frankl. Inst., 2023)

An adaptive generalized Nash equilibrium seeking algorithm under high-dimensional input dead-zone. - Jianing Chen; Sichen Qian; Sitian Qin (Inf. Sci., 2023)

A subgradient-based neural network to constrained distributed convex optimization. - Zhe Wei; Wenwen Jia; Wei Bian; Sitian Qin (Neural Comput. Appl., 2023)

An adaptive neurodynamic approach for solving nonsmooth N-cluster games. - Mengxin Wang; Shihui Zhu; Sitian Qin (Neural Networks, 2023)

A Novel Projection Neural Network for Solving a Class of Monotone Variational Inequalities. - Xingnan Wen; Sitian Qin; Jiqiang Feng (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Fixed-time consensus-based distributed Nash equilibrium seeking for noncooperative game with second-order players. - Mengxin Wang; Mengting Zhou; Sitian Qin (Neurocomputing, 2023)

An adaptive finite-time neurodynamic approach to distributed consensus-based optimization problem. - Qingfa Li; Mengxin Wang; Haowen Sun; Sitian Qin (Neural Comput. Appl., 2023)

An Adaptive Memristor-Programming Neurodynamic Approach to Nonsmooth Nonconvex Optimization Problems. - Mengxin Wang; Yunshu Xie; Sitian Qin (IEEE Trans. Syst. Man Cybern. Syst., 2023)

PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition. - Xiao Li 028; Yining Liu; Na Dong; Sitian Qin; Xiaolin Hu 001 (ECCV (71), 2024)

An Adaptive Neurodynamic Algorithm for Solving Matrix Valued Optimization Problem with Multiple Constraints. - Haoze Li; Qiang Wang; Sitian Qin; Xinrui Jiang (ICACI, 2024)

Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance. - Yiyuan Chai; Sitian Qin; Jiqiang Feng; Chen Xu 004 (ISNN, 2024)

A Continuous-Time Algorithm with Quantified Event-Triggered for Distributed Resource Allocation Optimization. - Wenwen Jia; Sikai Qiu; Sitian Qin (ISNN, 2024)

Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis. - Yining Liu; Xiao Li 028; Sitian Qin; Xiaolin Hu 001 (ISNN, 2024)

A Penalty-Like Neurodynamic Approach to Convex Optimization Problems with Set Constraint. - Yiyao Xu; Sitian Qin (ISNN, 2024)

Adaptive generalized Nash equilibrium seeking algorithm for nonsmooth aggregative game under dynamic event-triggered mechanism. - Mengxin Wang; Jianing Chen; Changyun Wen; Sitian Qin (Autom., 2024)

Continuous-Time Online Distributed Seeking for Generalized Nash Equilibrium of Nonmonotone Online Game. - Jianing Chen; Sichen Qian; Chuangyin Dang; Sitian Qin (CoRR, 2024)

A recurrent neural network approach for nonconvex interval quadratic programming. - Jianmin Wang 004; Sitian Qin (Neurocomputing, 2024)

A collective neurodynamic penalty approach to nonconvex distributed constrained optimization. - Wenwen Jia; Tingwen Huang; Sitian Qin (Neural Networks, 2024)

A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem. - Haoze Li; Linhua Luan; Sitian Qin (Neural Networks, 2024)

Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach. - Haojin Li; Xiaofeng Yue; Sitian Qin (Neural Networks, 2024)

Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem. - Linhua Luan; Xingnan Wen; Yuhan Xue; Sitian Qin (Neural Networks, 2024)

A Distributed Optimization Algorithm for Fixed-Time Flocking of Second-Order Multiagent Systems. - Jianing Chen; Yihua Yang; Sitian Qin (IEEE Trans. Netw. Sci. Eng., 2024)

A Hessian-based zeroing neurodynamic approach for quaternion-variable time-varying constrained optimization problems. - Haojin Li; Sitian Qin (Neurocomputing, 2024)

Neurodynamic Approaches to Multiple Constrained Distributed Resource Allocation With Planned or Self-Regulated Demand. - Linhua Luan; Haoze Li; Sitian Qin (IEEE Trans. Ind. Informatics, 2024)

Distributed Adaptive Event-Triggered Algorithms for Nonsmooth Resource Allocation Optimization Over Switching Topologies. - Yiyuan Chai; Yipin Hu; Sitian Qin; Jiqiang Feng; Chen Xu 004 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Generalized Second-Order Neurodynamic Approach for Distributed Optimal Allocation. - Linhua Luan; Sitian Qin; Jingyun Sheng; Xinrui Jiang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Neurodynamic Approach for Solving Time-Dependent Nonlinear Equation System: A Distributed Optimization Perspective. - Haojin Li; Sitian Qin (IEEE Trans. Ind. Informatics, 2024)

Adaptive Neurodynamic Approach to Multiple Constrained Distributed Resource Allocation. - Linhua Luan; Sitian Qin (IEEE Trans. Neural Networks Learn. Syst., 2024)

A smooth gradient approximation neural network for general constrained nonsmooth nonconvex optimization problems. - Na Liu; Wenwen Jia; Sitian Qin (Neural Networks, 2025)

Multiple Mittag-Leffler Stability of Almost Periodic Solutions for Fractional-Order Delayed Neural Networks: Distributed Optimization Approach. - Chenxi Song; Sitian Qin; Zhigang Zeng (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Distributed Event-Triggered Neurodynamic Approach for Lyapunov Matrix Equation. - Haoze Li; Guannan Li; Sitian Qin (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Robust Nash equilibrium seeking based on semi-Markov switching topologies. - Jianing Chen; Sitian Qin; Chuangyin Dang (CoRR, 2025)

Generalized Nash Equilibrium Seeking for Noncooperative Game With Different Monotonicities by Adaptive Neurodynamic Algorithm. - Mengxin Wang; Yuhu Wu; Sitian Qin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Event-Triggered Adaptive Nash Equilibrium Seeking Algorithm Over Unbalanced Digraph. - Jianing Chen; Yuxuan Li; Yuhan Xue; Sitian Qin (IEEE Trans. Autom. Control., 2025)