Weiwei Luo

Orcid: 0000-0001-7221-6554

According to our database1, Weiwei Luo authored at least 14 papers between 2014 and 2023.

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Bibliography

2023
SaberNet: Self-attention based effective relation network for few-shot learning.
Pattern Recognit., 2023

2022
Global Stabilization of the Spacecraft Rendezvous System by Delayed and Bounded Linear Feedback.
IEEE Trans. Syst. Man Cybern. Syst., 2022

JPEG Image Steganalysis Using Weight Allocation from Block Evaluation.
IEICE Trans. Inf. Syst., 2022

2021
Low-complexity JPEG steganalysis via filters optimation from symmetric property.
Multim. Syst., 2021

Community Detection in Aviation Network Based on K-means and Complex Network.
Comput. Syst. Sci. Eng., 2021

2020
Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019
An Internet Medical Care-Oriented Service Security Open Platform.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Improved Razumikhin and Krasovskii stability criteria for time-varying stochastic time-delay systems.
Autom., 2018

Improved Input-to-State Stability Analysis of Discrete-Time Time-Varying Systems.
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

2016
Noise expresses exponential decay for globally exponentially stable nonlinear time delay systems.
J. Frankl. Inst., 2016

2014
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances.
Neural Networks, 2014

Robustness of globally exponential stability of delayed neural networks in the presence of random disturbances.
Neural Comput. Appl., 2014

Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching.
Neural Comput. Appl., 2014

Robustness Analysis for Connection Weight Matrices of Global Exponential Stability of Stochastic Delayed Recurrent Neural Networks.
Circuits Syst. Signal Process., 2014


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