Wanguang Yin

According to our database, Wanguang Yin authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Discriminative subspace learning via optimization on Riemannian manifold.

Wanguang Yin, Zhengming Ma, Quanying Liu

Pattern Recognit., July, 2023

2022

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction.

Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu

Neurocomputing, 2022

A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network.

Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu

CoRR, 2022

Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding.

Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu

CoRR, 2022

Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding.

Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

Riemannian-based Discriminant Analysis for Feature Extraction and Classification.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

2020

High order discriminant analysis based on Riemannian optimization.

Wanguang Yin, Zhengming Ma

Knowl. Based Syst., 2020

Experimental Analysis of Legendre Decomposition in Machine Learning.

Jianye Pang, Kai Yi, Wanguang Yin, Min Xu

CoRR, 2020

2019

LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets.

Wanguang Yin, Zhengming Ma

Neurocomputing, 2019