Wanguang Yin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Discriminant Analysis

Tensor Factorization

Convolutional Neural Network

Feature Extraction

Top Venues

Pattern Recognit.

Publications

Wanguang Yin, Zhengming Ma, Quanying Liu
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139 (2023)
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)
Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. CoRR (2022)
Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512 (2022)
Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR (2022)
Wanguang Yin, Zhengming Ma, Quanying Liu
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR (2021)
Wanguang Yin, Zhengming Ma, Quanying Liu
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR (2021)
Jianye Pang, Kai Yi, Wanguang Yin, Min Xu
Experimental Analysis of Legendre Decomposition in Machine Learning. CoRR (2020)
Wanguang Yin, Zhengming Ma
High order discriminant analysis based on Riemannian optimization. Knowl. Based Syst. 195 (2020)
Wanguang Yin, Zhengming Ma
LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. Neurocomputing 364 (2019)