Linyan Gu

11 papers B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Expressive Power of Transformers for Maxout Networks and Continuous Piecewise Linear Functions.
CoRR
Linyan Gu, Lihua Yang, Feng Zhou
2025 J jnl
A parallel domain decomposition-based implicit finite volume lattice Boltzmann method for incompressible thermal convection flows on unstructured grids.
J. Comput. Appl. Math.
Lei Xu, Rongliang Chen, Linyan Gu, Wu Zhang
2023 J jnl
A novel graph-based feature interaction model for click-through rate prediction.
Inf. Sci.
Qianlong He, Feng Zhou, Linyan Gu, Zhibin Yuan
2023 J jnl
Refinements of Approximation Results of Conditional Restricted Boltzmann Machines.
IEEE Trans. Neural Networks Learn. Syst.
Linyan Gu, Lihua Yang, Feng Zhou
2022 J jnl
A novel image deblocking approach within a graph framework.
Digit. Signal Process.
Feng Zhou, Huafei Li, Lihua Yang, Zhihua Yang, Linyan Gu
2022 J jnl
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks.
Neural Networks
Linyan Gu, Lihua Yang, Feng Zhou
2021 J jnl
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
Artif. Intell. Medicine
Linyan Gu, Xiao-Chuan Cai
2021 J jnl
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks.
Expert Syst. Appl.
Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu
2020 J jnl
Towards the representational power of restricted Boltzmann machines.
Neurocomputing
Linyan Gu, Feng Zhou, Lihua Yang
2019 J jnl
On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions.
IEEE Trans. Neural Networks Learn. Syst.
Linyan Gu, Jianfeng Huang, Lihua Yang
2016 B conf
On the magnitude of parameters of RBMs being universal approximators.
ICPR
Linyan Gu, Lihua Yang