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2020 – today
- 2024
[j70]Mengxin Wang, Jianing Chen
, Changyun Wen, Sitian Qin:
Adaptive generalized Nash equilibrium seeking algorithm for nonsmooth aggregative game under dynamic event-triggered mechanism. Autom. 169: 111835 (2024)- [j69]Haojin Li, Sitian Qin:
A Hessian-based zeroing neurodynamic approach for quaternion-variable time-varying constrained optimization problems. Neurocomputing 564: 126937 (2024) - [j68]Jianmin Wang, Sitian Qin:
A recurrent neural network approach for nonconvex interval quadratic programming. Neurocomputing 588: 127636 (2024) - [j67]Haojin Li, Xiaofeng Yue, Sitian Qin:
Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach. Neural Networks 171: 73-84 (2024) - [j66]Wenwen Jia, Tingwen Huang, Sitian Qin:
A collective neurodynamic penalty approach to nonconvex distributed constrained optimization. Neural Networks 171: 145-158 (2024) - [j65]Linhua Luan, Xingnan Wen, Yuhan Xue, Sitian Qin:
Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem. Neural Networks 176: 106337 (2024) - [j64]Haoze Li, Linhua Luan, Sitian Qin:
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem. Neural Networks 179: 106625 (2024) - [j63]Linhua Luan, Haoze Li, Sitian Qin:
Neurodynamic Approaches to Multiple Constrained Distributed Resource Allocation With Planned or Self-Regulated Demand. IEEE Trans. Ind. Informatics 20(1): 349-357 (2024) - [j62]Haojin Li, Sitian Qin:
A Neurodynamic Approach for Solving Time-Dependent Nonlinear Equation System: A Distributed Optimization Perspective. IEEE Trans. Ind. Informatics 20(8): 10031-10039 (2024) - [j61]Linhua Luan, Sitian Qin:
Adaptive Neurodynamic Approach to Multiple Constrained Distributed Resource Allocation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13461-13471 (2024) - [j60]Jianing Chen, Yihua Yang, Sitian Qin:
A Distributed Optimization Algorithm for Fixed-Time Flocking of Second-Order Multiagent Systems. IEEE Trans. Netw. Sci. Eng. 11(1): 152-162 (2024) - [j59]Linhua Luan, Sitian Qin, Jingyun Sheng, Xinrui Jiang:
Generalized Second-Order Neurodynamic Approach for Distributed Optimal Allocation. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3369-3380 (2024) - [j58]Yiyuan Chai, Yipin Hu, Sitian Qin, Jiqiang Feng, Chen Xu:
Distributed Adaptive Event-Triggered Algorithms for Nonsmooth Resource Allocation Optimization Over Switching Topologies. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3484-3496 (2024) - [c19]Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu:
PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition. ECCV (71) 2024: 396-414 - [c18]Haoze Li, Qiang Wang, Sitian Qin, Xinrui Jiang:
An Adaptive Neurodynamic Algorithm for Solving Matrix Valued Optimization Problem with Multiple Constraints. ICACI 2024: 79-86 - [c17]Wenwen Jia, Sikai Qiu, Sitian Qin:
A Continuous-Time Algorithm with Quantified Event-Triggered for Distributed Resource Allocation Optimization. ISNN 2024: 3-12 - [c16]Yiyao Xu, Sitian Qin:
A Penalty-Like Neurodynamic Approach to Convex Optimization Problems with Set Constraint. ISNN 2024: 45-54 - [c15]Yining Liu, Xiao Li, Sitian Qin, Xiaolin Hu:
Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis. ISNN 2024: 143-152 - [c14]Yiyuan Chai, Sitian Qin, Jiqiang Feng, Chen Xu:
Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance. ISNN 2024: 453-461 - [i2]Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu:
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition. CoRR abs/2407.10918 (2024) - [i1]Jianing Chen, Sichen Qian, Chuangyin Dang, Sitian Qin:
Continuous-Time Online Distributed Seeking for Generalized Nash Equilibrium of Nonmonotone Online Game. CoRR abs/2409.04765 (2024) - 2023
- [j57]Mengxin Wang, Mengting Zhou, Sitian Qin:
Fixed-time consensus-based distributed Nash equilibrium seeking for noncooperative game with second-order players. Neurocomputing 555: 126650 (2023) - [j56]Jianing Chen, Sichen Qian, Sitian Qin:
An adaptive generalized Nash equilibrium seeking algorithm under high-dimensional input dead-zone. Inf. Sci. 626: 354-369 (2023) - [j55]Na Liu, Han Zhang, Yueting Chai, Sitian Qin:
Two-stage continuous-time triggered algorithms for constrained distributed optimization over directed graphs. J. Frankl. Inst. 360(3): 2159-2181 (2023) - [j54]Zhe Wei, Wenwen Jia, Wei Bian, Sitian Qin:
A subgradient-based neural network to constrained distributed convex optimization. Neural Comput. Appl. 35(14): 9961-9971 (2023) - [j53]Qingfa Li, Mengxin Wang, Haowen Sun, Sitian Qin:
An adaptive finite-time neurodynamic approach to distributed consensus-based optimization problem. Neural Comput. Appl. 35(28): 20841-20853 (2023) - [j52]Mengxin Wang, Shihui Zhu, Sitian Qin:
An adaptive neurodynamic approach for solving nonsmooth N-cluster games. Neural Networks 166: 595-608 (2023) - [j51]Xingnan Wen, Sitian Qin, Jiqiang Feng:
A Novel Projection Neural Network for Solving a Class of Monotone Variational Inequalities. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5580-5590 (2023) - [j50]Mengxin Wang, Yunshu Xie, Sitian Qin:
An Adaptive Memristor-Programming Neurodynamic Approach to Nonsmooth Nonconvex Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6874-6885 (2023) - [c13]Helin Wang, Xinrui Jiang, Sitian Qin, Wei Zhang, Yuming Feng:
Convergence analysis of the nontrivial stationary solution of the memristor-based neural networks with reaction-diffusion terms. ICACI 2023: 1-8 - [c12]Linhua Luan, Yining Liu, Sitian Qin, Jiqiang Feng:
Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses. ICONIP (1) 2023: 161-172 - [c11]Mengxin Wang, Sitian Qin, Changyun Wen:
Distributed Generalized Nash Equilibrium Seeking for Noncooperative Game Under Intermittent Communication. IECON 2023: 1-6 - 2022
- [j49]Guocheng Li, Linhua Luan, Sitian Qin, Jiqiang Feng:
A Neurodynamic Approach to Nonsmooth Quaternion Distributed Convex Optimization With Inequality and Affine Equality Constraints. IEEE Access 10: 61795-61807 (2022) - [j48]Yiyuan Chai, Guocheng Li, Sitian Qin, Jiqiang Feng, Chen Xu:
A neurodynamic optimization approach to nonconvex resource allocation problem. Neurocomputing 512: 178-189 (2022) - [j47]Na Liu, Zhiyuan Su, Yueting Chai, Sitian Qin:
Feedback neural network for constrained bi-objective convex optimization. Neurocomputing 514: 127-136 (2022) - [j46]Wenwen Jia, Sitian Qin:
An adaptive penalty-like continuous-time algorithm to constrained distributed convex optimization. J. Frankl. Inst. 359(8): 3692-3716 (2022) - [j45]Linhua Luan, Sitian Qin:
Neurodynamic algorithms for constrained distributed convex optimization over fixed or switching topology with time-varying communication delay. Neural Comput. Appl. 34(20): 17761-17781 (2022) - [j44]Xinrui Jiang, Sitian Qin, Xiaoping Xue, Xinzhi Liu:
A second-order accelerated neurodynamic approach for distributed convex optimization. Neural Networks 146: 161-173 (2022) - [j43]Na Liu, Jun Wang, Sitian Qin:
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints. Neural Networks 147: 1-9 (2022) - [j42]Wenwen Jia, Na Liu, Sitian Qin:
An Adaptive Continuous-Time Algorithm for Nonsmooth Convex Resource Allocation Optimization. IEEE Trans. Autom. Control. 67(11): 6038-6044 (2022) - 2021
- [j41]Sitian Qin, Shenshen Gu, Nian Zhang:
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. Cybern. Syst. 52(1): 1-2 (2021) - [j40]Litao Ma, Jiqiang Chen, Sitian Qin, Lina Zhang, Feng Zhang:
An Efficient Neurodynamic Approach to Fuzzy Chance-constrained Programming. Int. J. Artif. Intell. Tools 30(1): 2140001:1-2140001:20 (2021) - [j39]Haojin Li, Shuai Shao, Sitian Qin, Yunbo Yang:
Neural networks with finite-time convergence for solving time-varying linear complementarity problem. Neurocomputing 439: 146-158 (2021) - [j38]Na Liu, Shijie Zhao, Sitian Qin:
A power reformulation continuous-time algorithm for nonconvex distributed constrained optimization over multi-agent systems. Neurocomputing 449: 258-269 (2021) - [j37]Mengxin Wang, Jia Guo, Sitian Qin, Jiqiang Feng, Wenxue Li:
Exponential bipartite synchronization of delayed coupled systems over signed graphs with Markovian switching via intermittent control. J. Frankl. Inst. 358(3): 2060-2085 (2021) - [j36]Xingnan Wen, Yixuan Wang, Sitian Qin:
A nonautonomous-differential-inclusion neurodynamic approach for nonsmooth distributed optimization on multi-agent systems. Neural Comput. Appl. 33(20): 13909-13920 (2021) - [j35]Xingnan Wen, Linhua Luan, Sitian Qin:
A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems. Neural Networks 143: 52-65 (2021) - [j34]Xinrui Jiang, Sitian Qin, Xiaoping Xue:
Continuous-Time Algorithm for Approximate Distributed Optimization With Affine Equality and Convex Inequality Constraints. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5809-5818 (2021) - [c10]Yiyuan Chai, Jiqiang Feng, Chen Xu, Sitian Qin:
Distributed Network Flow to Solve Constrained Linear Matrix Equation. ICACI 2021: 146-153 - 2020
- [j33]Yiyuan Chai, Haojin Li, Defeng Qiao, Sitian Qin, Jiqiang Feng:
A Neural Network for Moore-Penrose Inverse of Time-Varying Complex-Valued Matrices. Int. J. Comput. Intell. Syst. 13(1): 663-671 (2020) - [j32]Xinrui Jiang, Sitian Qin, Xiaoping Xue:
A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization. Neurocomputing 377: 225-233 (2020) - [j31]Shuai Shao, Haojin Li, Sitian Qin, Guocheng Li, Cheng Luo:
An inverse-free Zhang neural dynamic for time-varying convex optimization problems with equality and affine inequality constraints. Neurocomputing 412: 152-166 (2020) - [j30]Xinrui Jiang, Sitian Qin, Xiaoping Xue:
A subgradient-based continuous-time algorithm for constrained distributed quadratic programming. J. Frankl. Inst. 357(9): 5570-5590 (2020) - [j29]Sitian Qin, Liyuan Gu, Xinyu Pan:
Exponential stability of periodic solution for a memristor-based inertial neural network with time delays. Neural Comput. Appl. 32(8): 3265-3281 (2020) - [j28]Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng:
A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. Neural Networks 124: 180-192 (2020) - [j27]Sitian Qin, Qiang Ma, Jiqiang Feng, Chen Xu:
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1914-1926 (2020) - [c9]Jiazhen Wei, Sitian Qin, Wei Bian:
A Neural Network for Distributed Optimization over Multiagent Networks. ISNN 2020: 85-95 - [e1]Min Han, Sitian Qin, Nian Zhang:
Advances in Neural Networks - ISNN 2020 - 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, Proceedings. Lecture Notes in Computer Science 12557, Springer 2020, ISBN 978-3-030-64220-4 [contents]
2010 – 2019
- 2019
- [j26]Qiang Ma, Sitian Qin, Tao Jin:
Complex Zhang neural networks for complex-variable dynamic quadratic programming. Neurocomputing 330: 56-69 (2019) - [j25]Jiqiang Feng, Su Yan, Sitian Qin, Wen Han:
A neurodynamic approach to compute the generalized eigenvalues of symmetric positive matrix pair. Neurocomputing 359: 420-426 (2019) - [j24]Jianmin Wang, Fengqiu Liu, Sitian Qin:
Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays. Int. J. Mach. Learn. Cybern. 10(4): 743-755 (2019) - [j23]Na Liu, Sitian Qin:
A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints. Neural Networks 109: 147-158 (2019) - [j22]Wenwen Jia, Sitian Qin, Xiaoping Xue:
A generalized neural network for distributed nonsmooth optimization with inequality constraint. Neural Networks 119: 46-56 (2019) - [j21]Na Liu, Sitian Qin:
A Novel Neurodynamic Approach to Constrained Complex-Variable Pseudoconvex Optimization. IEEE Trans. Cybern. 49(11): 3946-3956 (2019) - [c8]Xinrui Jiang, Sitian Qin, Ping Guo:
A Gradient-Descent Neurodynamic Approach for Distributed Linear Programming. ISNN (2) 2019: 45-53 - [c7]Na Liu, Han Zhang, Sitian Qin:
A Neural Network for Constrained Fuzzy Convex Optimization Problems. SSCI 2019: 1007-1012 - 2018
- [j20]Jiqiang Feng, Sitian Qin, Fengli Shi, Xiaoyue Zhao:
A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems. Neural Comput. Appl. 30(11): 3399-3408 (2018) - [j19]Wei Bian, Litao Ma, Sitian Qin, Xiaoping Xue:
Neural network for nonsmooth pseudoconvex optimization with general convex constraints. Neural Networks 101: 1-14 (2018) - [j18]Sitian Qin, Jiqiang Feng, Jiahui Song, Xingnan Wen, Chen Xu:
A One-Layer Recurrent Neural Network for Constrained Complex-Variable Convex Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(3): 534-544 (2018) - [c6]Xingnan Wen, Wen Han, Sitian Qin:
Recurrent neural network for complex-variable pseudoconvex optimization with equality constraints. ICACI 2018: 352-357 - [c5]Na Liu, Wenwen Jia, Sitian Qin, Guocheng Li:
An Artificial Neural Network for Distributed Constrained Optimization. ICONIP (2) 2018: 430-441 - [c4]Wen Han, Su Yan, Xingnan Wen, Sitian Qin, Guocheng Li:
An Artificial Neural Network for Solving Quadratic Zero-One Programming Problems. ISNN 2018: 192-199 - 2017
- [j17]Jiqiang Feng, Qiang Ma, Sitian Qin:
Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays. Int. J. Pattern Recognit. Artif. Intell. 31(7): 1750022:1-1750022:17 (2017) - [j16]Sitian Qin, Xiudong Yang, Xiaoping Xue, Jiahui Song:
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints. IEEE Trans. Cybern. 47(10): 3063-3074 (2017) - [j15]Sitian Qin, Xinyi Le, Jun Wang:
A Neurodynamic Optimization Approach to Bilevel Quadratic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2580-2591 (2017) - 2016
- [j14]Sitian Qin, Qun Cheng, Guofang Chen:
Global exponential stability of uncertain neural networks with discontinuous Lurie-type activation and mixed delays. Neurocomputing 198: 12-19 (2016) - [j13]Sitian Qin, Yadong Liu, Xiaoping Xue, Fuqiang Wang:
A neurodynamic approach to convex optimization problems with general constraint. Neural Networks 84: 113-124 (2016) - [c3]Sitian Qin, Yongyi Tan, Fuqiang Wang:
Exponential Stability of Anti-periodic Solution of Cohen-Grossberg Neural Networks with Mixed Delays. ISNN 2016: 160-167 - 2015
- [j12]Sitian Qin, Jun Wang, Xiaoping Xue:
Convergence and attractivity of memristor-based cellular neural networks with time delays. Neural Networks 63: 223-233 (2015) - [j11]Sitian Qin, Dejun Fan, Guangxi Wu, Lijun Zhao:
Neural network for constrained nonsmooth optimization using Tikhonov regularization. Neural Networks 63: 272-281 (2015) - [j10]Sitian Qin, Xiaoping Xue:
A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1149-1160 (2015) - [c2]Sitian Qin, Xinyi Le, Jun Wang:
A Neurodynamic Optimization Approach to Bilevel Linear Programming. ISNN 2015: 418-425 - 2014
- [j9]Sitian Qin, Dejun Fan, Peng Su, Qinghe Liu:
A simplified recurrent neural network for pseudoconvex optimization subject to linear equality constraints. Commun. Nonlinear Sci. Numer. Simul. 19(4): 789-798 (2014) - [j8]Sitian Qin, Jing-Xue Xu, Xin Shi:
Convergence analysis for second-order interval Cohen-Grossberg neural networks. Commun. Nonlinear Sci. Numer. Simul. 19(8): 2747-2757 (2014) - [j7]Sitian Qin, Dejun Fan, Ming Yan, Qinghe Liu:
Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions. Neural Process. Lett. 40(1): 35-50 (2014) - 2013
- [j6]Sitian Qin, Wei Bian, Xiaoping Xue:
A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. Neurocomputing 120: 655-662 (2013) - [j5]Sitian Qin, Xiaoping Xue, Peng Wang:
Global exponential stability of almost periodic solution of delayed neural networks with discontinuous activations. Inf. Sci. 220: 367-378 (2013) - [c1]Fengqiu Liu, Jianmin Wang, Sitian Qin:
Training Least-Square SVM by a Recurrent Neural Network Based on Fuzzy c-mean Approach. ICSI (2) 2013: 106-113 - 2010
- [j4]Sitian Qin, Xiaoping Xue:
Dynamical behavior of a class of nonsmooth gradient-like systems. Neurocomputing 73(13-15): 2632-2641 (2010) - [j3]Sitian Qin, Xiaoping Xue:
Evolution inclusions with Clarke subdifferential type in Hilbert space. Math. Comput. Model. 51(5-6): 550-561 (2010) - [j2]Sitian Qin, Xiaoping Xue:
Dynamical Analysis of Neural Networks of Subgradient System. IEEE Trans. Autom. Control. 55(10): 2347-2352 (2010)
2000 – 2009
- 2009
- [j1]Sitian Qin, Xiaoping Xue:
Global Exponential Stability and Global Convergence in Finite Time of Neural Networks with Discontinuous Activations. Neural Process. Lett. 29(3): 189-204 (2009)
Coauthor Index
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