Global exponential periodicity and stability of cellular neural networks with variable and distributed delays. - Liqun Zhou; Guangda Hu (Appl. Math. Comput., 2008)

On the Global Dissipativity of a Class of Cellular Neural Networks with Multipantograph Delays. - Liqun Zhou (Adv. Artif. Neural Syst., 2011)

Delay-Dependent Exponential Stability of Cellular Neural Networks with Multi-Proportional Delays. - Liqun Zhou (Neural Process. Lett., 2013)

Asymptotic stability of cellular neural networks with multiple proportional delays. - Liqun Zhou; Xiubo Chen; Yixian Yang (Appl. Math. Comput., 2014)

Novel global exponential stability criteria for hybrid BAM neural networks with proportional delays. - Liqun Zhou (Neurocomputing, 2015)

Delay-Dependent Exponential Synchronization of Recurrent Neural Networks with Multiple Proportional Delays. - Liqun Zhou (Neural Process. Lett., 2015)

Global exponential stability of a class of impulsive recurrent neural networks with proportional delays via fixed point theory. - Liqun Zhou; Yanyan Zhang (J. Frankl. Inst., 2016)

Exponential stability of a class of competitive neural networks with multi-proportional delays. - Liqun Zhou; Zhongying Zhao (Neural Process. Lett., 2016)

Passivity of memristor-based recurrent neural networks with multi-proportional delays. - Lijuan Su; Liqun Zhou (Neurocomputing, 2017)

Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays. - Liqun Zhou; Xueting Liu 004 (Neurocomputing, 2017)

Delay-dependent exponential stability of recurrent neural networks with Markovian jumping parameters and proportional delays. - Liqun Zhou (Neural Comput. Appl., 2017)

Delay-dependent and delay-independent passivity of a class of recurrent neural networks with impulse and multi-proportional delays. - Liqun Zhou (Neurocomputing, 2018)

Exponential synchronization of memristor-based recurrent neural networks with multi-proportional delays. - Lijuan Su; Liqun Zhou (Neural Comput. Appl., 2019)

Exponential synchronization and polynomial synchronization of recurrent neural networks with and without proportional delays. - Liqun Zhou; Zhixue Zhao (Neurocomputing, 2020)

Asymptotic Stability and Polynomial Stability of Impulsive Cohen-Grossberg Neural Networks with Multi-proportional Delays. - Liqun Zhou; Zhixue Zhao (Neural Process. Lett., 2020)

Global Exponential Dissipativity of Impulsive Recurrent Neural Networks with Multi-proportional Delays. - Liqun Zhou (Neural Process. Lett., 2021)

Stabilization and lag synchronization of proportional delayed impulsive complex-valued inertial neural networks. - Yongkang Zhang 005; Liqun Zhou (Neurocomputing, 2022)

Novel global polynomial stability criteria of impulsive complex-valued neural networks with multi-proportional delays. - Yongkang Zhang 005; Liqun Zhou (Neural Comput. Appl., 2022)

Global polynomial stabilization of proportional delayed inertial memristive neural networks. - Qian Li; Liqun Zhou (Inf. Sci., 2023)

Global Polynomial Synchronization of Proportional Delayed Inertial Neural Networks. - Liqun Zhou; Quanxin Zhu; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Global asymptotic synchronization of inertial memristive Cohen-Grossberg neural networks with proportional delays. - Qian Li; Liqun Zhou (Commun. Nonlinear Sci. Numer. Simul., 2023)

Delay-dependent passivity of impulsive coupled reaction-diffusion neural networks with multi-proportional delays. - Liqun Zhou; Zhixue Zhao (Commun. Nonlinear Sci. Numer. Simul., 2023)

Finite-time synchronization of proportional delay memristive competitive neural networks. - Jiapeng Han; Liqun Zhou (Neurocomputing, 2024)

Fixed-time synchronization of discontinuous proportional delay inertial neural networks with uncertain parameters. - Yan Wan; Liqun Zhou (Inf. Sci., 2024)

State estimation for proportional delayed complex-valued memristive neural networks. - Yongkang Zhang 005; Liqun Zhou (Inf. Sci., 2024)

Global Polynomial Stabilization of Impulsive Neural Networks With Bidirectional Proportional Delays. - Liqun Zhou; Zhixue Zhao; Quanxin Zhu; Rui Zhou; Tingwen Huang (IEEE Trans. Netw. Sci. Eng., 2024)

Global polynomial synchronization of proportional delay memristive neural networks with uncertain parameters and its application to image encryption. - Yan Wan; Liqun Zhou; Jiapeng Han (Eng. Appl. Artif. Intell., 2025)

General decay projection synchronization of proportional delay memristive competitive neural networks with uncertain parameters for image encryption. - Yaru Wang; Liqun Zhou (Inf. Sci., 2025)

Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks. - Jiapeng Han; Liqun Zhou (Neural Networks, 2025)

Global polynomial synchronization of neural networks with bidirectional proportional delays via adaptive pinning control and its application in image encryption. - Liqun Zhou; Yongkang Zhang; Xinsong Yang; Jiapeng Han (Neural Networks, 2025)

WDFN: Wavelet-Based Decomposition-Fusion Network for Low-Light Underwater Image Enhancement. - Liqun Zhou; Hao Tan; Tingting Liu; Yanyan Zhu; Jishen Liang; Yang Tao 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

Etc-Net: a space-adaptive swin transformer-based method for underwater image enhancement integrating edge sharpening and color correction. - Liqun Zhou; Yang Tao; Hongcheng Huang; Yanyan Zhu (Int. J. Mach. Learn. Cybern., 2025)