Yang Meng

Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints

Shuyuan Yang, Ronghua Shang, Licheng Jiao, 2018, Eng. Appl. Artif. Intell..

Local discriminative based sparse subspace learning for feature selection

Ronghua Shang, Licheng Jiao, Fanhua Shang, 2019, Pattern Recognit..

A self-paced learning algorithm for change detection in synthetic aperture radar images

Ronghua Shang, Licheng Jiao, Yang Meng, 2018, Signal Process..

Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering

Shuyuan Yang, Ronghua Shang, Licheng Jiao, 2018, Neurocomputing.

Graph Convolutional Neural Networks with Geometric and Discrimination information

Shuyuan Yang, Ronghua Shang, Licheng Jiao, 2021, Engineering applications of artificial intelligence.

Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning

Ronghua Shang, Licheng Jiao, Yang Meng, 2018, Machine Learning.

Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation

Shuyuan Yang, Licheng Jiao, Fanhua Shang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint

Ronghua Shang, Licheng Jiao, Yang Meng, 2017, Neural Computation.

Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints

L. Jiao, Shuyuan Yang, Ronghua Shang, 2018, Eng. Appl. Artif. Intell..