77 citations · 78 across the 4 of their papers we have counts for
4 papers
Neighborhood-Adaptive Generalized Linear Graph Embedding with Latent Pattern Mining
S. Peng, L. Hu, W. Zhang +2
Graph embedding has been widely applied in areas such as network analysis, social network mining, recommendation systems, and bioinformatics. However, current graph construction me…
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu +1
Domain adaptation manages to transfer the knowledge of well-labeled source data to unlabeled target data. Many recent efforts focus on improving the prediction accuracy of target p…
Robust Locality-Aware Regression for Labeled Data Classification
Liangchen Hu, Wensheng Zhang
With the dramatic increase of dimensions in the data representation, extracting latent low-dimensional features becomes of the utmost importance for efficient classification. Aimin…
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu +2
Domain adaptation has been a fundamental technology for transferring knowledge from a source domain to a target domain. The key issue of domain adaptation is how to reduce the dist…