LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets. - Wanguang Yin; Zhengming Ma (Neurocomputing, 2019)

Experimental Analysis of Legendre Decomposition in Machine Learning. - Jianye Pang; Kai Yi; Wanguang Yin; Min Xu (CoRR, 2020)

High order discriminant analysis based on Riemannian optimization. - Wanguang Yin; Zhengming Ma (Knowl. Based Syst., 2020)

HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. - Wanguang Yin; Zhengming Ma; Quanying Liu (CoRR, 2021)

Riemannian-based Discriminant Analysis for Feature Extraction and Classification. - Wanguang Yin; Zhengming Ma; Quanying Liu (CoRR, 2021)

Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. - Wanguang Yin; Zhichao Liang; Jianguo Zhang 001; Quanying Liu (PRCV (1), 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)

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. - Wanguang Yin; Youzhi Qu; Zhengming Ma; Quanying Liu (Neurocomputing, 2022)

Discriminative subspace learning via optimization on Riemannian manifold. - Wanguang Yin; Zhengming Ma; Quanying Liu (Pattern Recognit., 2023)