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Wanguang Yin
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2020 – today
- 2023
- [j4]Wanguang Yin, Zhengming Ma, Quanying Liu
:
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139: 109450 (2023) - 2022
- [j3]Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu:
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512: 190-202 (2022) - [c1]Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu:
Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. PRCV (1) 2022: 778-787 - [i5]Wanguang Yin, Zhichao Liang, Jianguo Zhang
, Quanying Liu:
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR abs/2208.04324 (2022) - [i4]Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu:
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. CoRR abs/2212.05289 (2022) - 2021
- [i3]Wanguang Yin, Zhengming Ma, Quanying Liu:
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR abs/2101.06827 (2021) - [i2]Wanguang Yin, Zhengming Ma, Quanying Liu:
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR abs/2101.08032 (2021) - 2020
- [j2]Wanguang Yin, Zhengming Ma
:
High order discriminant analysis based on Riemannian optimization. Knowl. Based Syst. 195: 105630 (2020) - [i1]Jianye Pang, Kai Yi
, Wanguang Yin, Min Xu:
Experimental Analysis of Legendre Decomposition in Machine Learning. CoRR abs/2008.05095 (2020)
2010 – 2019
- 2019
- [j1]Wanguang Yin, Zhengming Ma
:
LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. Neurocomputing 364: 77-94 (2019)
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