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2020 – today
- 2023
[j8]Qianlong He, Feng Zhou, Linyan Gu, Zhibin Yuan:
A novel graph-based feature interaction model for click-through rate prediction. Inf. Sci. 649: 119615 (2023)- [j7]Linyan Gu
, Lihua Yang, Feng Zhou:
Refinements of Approximation Results of Conditional Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1228-1242 (2023) - 2022
- [j6]Feng Zhou, Huafei Li, Lihua Yang, Zhihua Yang, Linyan Gu:
A novel image deblocking approach within a graph framework. Digit. Signal Process. 120: 103270 (2022) - [j5]Linyan Gu, Lihua Yang, Feng Zhou:
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks. Neural Networks 153: 49-63 (2022) - 2021
- [j4]Linyan Gu, Xiao-Chuan Cai:
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images. Artif. Intell. Medicine 121: 102189 (2021) - [j3]Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu:
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks. Expert Syst. Appl. 170: 114527 (2021) - 2020
- [j2]Linyan Gu, Feng Zhou, Lihua Yang:
Towards the representational power of restricted Boltzmann machines. Neurocomputing 415: 358-367 (2020)
2010 – 2019
- 2019
- [j1]Linyan Gu, Jianfeng Huang, Lihua Yang:
On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1335-1347 (2019) - 2016
- [c1]Linyan Gu, Lihua Yang:
On the magnitude of parameters of RBMs being universal approximators. ICPR 2016: 2470-2474
Coauthor Index
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