Linyan Gu

According to our database, Linyan Gu authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A novel graph-based feature interaction model for click-through rate prediction.

Qianlong He, Feng Zhou, Linyan Gu, Zhibin Yuan

Inf. Sci., November, 2023

Refinements of Approximation Results of Conditional Restricted Boltzmann Machines.

Linyan Gu, Lihua Yang, Feng Zhou

IEEE Trans. Neural Networks Learn. Syst., March, 2023

2022

Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks.

Linyan Gu, Lihua Yang, Feng Zhou

Neural Networks, 2022

A novel image deblocking approach within a graph framework.

Feng Zhou, Huafei Li, Lihua Yang, Zhihua Yang, Linyan Gu

Digit. Signal Process., 2022

2021

IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks.

Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu

Expert Syst. Appl., 2021

Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.

Linyan Gu, Xiao-Chuan Cai

Artif. Intell. Medicine, 2021

2020

Towards the representational power of restricted Boltzmann machines.

Linyan Gu, Feng Zhou, Lihua Yang

Neurocomputing, 2020

2019

On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions.

Linyan Gu, Jianfeng Huang, Lihua Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

2016

On the magnitude of parameters of RBMs being universal approximators.

Linyan Gu, Lihua Yang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016