Orthogonal Centroid Locally Linear Embedding for Classification. - Yong Wang; Yonggang Hu; Yi Wu 003 (ADMA, 2009)

Local linear transformation embedding. - Chenping Hou; Jing Wang; Yi Wu 003; Dongyun Yi (Neurocomputing, 2009)

Stable local dimensionality reduction approaches. - Chenping Hou; Changshui Zhang; Yi Wu 003; Yuanyuan Jiao (Pattern Recognit., 2009)

Learning an Orthogonal and Smooth Subspace for Image Classification. - Chenping Hou; Feiping Nie 001; Changshui Zhang; Yi Wu 003 (IEEE Signal Process. Lett., 2009)

Multi-manifold Clustering. - Yong Wang; Yuan Jiang 001; Yi Wu 003; Zhi-Hua Zhou (PRICAI, 2010)

Multiple view semi-supervised dimensionality reduction. - Chenping Hou; Changshui Zhang; Yi Wu 003; Feiping Nie 001 (Pattern Recognit., 2010)

Complete neighborhood preserving embedding for face recognition. - Yong Wang; Yi Wu 003 (Pattern Recognit., 2010)

Face recognition using Intrinsicfaces. - Yong Wang; Yi Wu 003 (Pattern Recognit., 2010)

Localized K-Flats. - Yong Wang; Yuan Jiang 001; Yi Wu 003; Zhi-Hua Zhou (AAAI, 2011)

GM-transfer: Graph-based model for transfer learning. - Shizhun Yang; Chenping Hou; Yi Wu 003 (ACPR, 2011)

Feature Selection via Joint Embedding Learning and Sparse Regression. - Chenping Hou; Feiping Nie 001; Dongyun Yi; Yi Wu 003 (IJCAI, 2011)

Local and Structural Consistency for Multi-Manifold Clustering. - Yong Wang; Yuan Jiang 001; Yi Wu 003; Zhi-Hua Zhou (IJCAI, 2011)

Semi-supervised Dimensionality Reduction via Harmonic Functions. - Chenping Hou; Feiping Nie 001; Yi Wu 003 (MDAI, 2011)

Semisupervised Learning Using Negative Labels. - Chenping Hou; Feiping Nie 001; Fei Wang 001; Changshui Zhang; Yi Wu 003 (IEEE Trans. Neural Networks, 2011)

Spectral Clustering on Multiple Manifolds. - Yong Wang; Yuan Jiang 001; Yi Wu 003; Zhi-Hua Zhou (IEEE Trans. Neural Networks, 2011)

Rayleigh projection depth. - Yonggang Hu; Qiang Li; Yong Wang; Yi Wu 003 (Comput. Stat., 2012)

Unsupervised maximum margin feature selection via L 2, 1-norm minimization. - Shizhun Yang; Chenping Hou; Feiping Nie 001; Yi Wu 003 (Neural Comput. Appl., 2012)

A general framework for transfer sparse subspace learning. - Shizhun Yang; Ming Lin 002; Chenping Hou; Changshui Zhang; Yi Wu 003 (Neural Comput. Appl., 2012)

Robust non-negative matrix factorization via joint sparse and graph regularization. - Shizhun Yang; Chenping Hou; Changshui Zhang; Yi Wu 003; Shifeng Weng (IJCNN, 2013)

Learning a subspace for clustering via pattern shrinking. - Chenping Hou; Feiping Nie 001; Yuanyuan Jiao; Changshui Zhang; Yi Wu 003 (Inf. Process. Manag., 2013)

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning. - Shizhun Yang; Chenping Hou; Changshui Zhang; Yi Wu 003 (Neural Comput. Appl., 2013)

Efficient Image Classification via Multiple Rank Regression. - Chenping Hou; Feiping Nie 001; Dongyun Yi; Yi Wu 003 (IEEE Trans. Image Process., 2013)

Two-dimensional complete neighborhood preserving embedding. - Yong Wang; Jian-Bin Xie; Yi Wu 003 (Neural Comput. Appl., 2014)

Multiple rank multi-linear SVM for matrix data classification. - Chenping Hou; Feiping Nie 001; Changshui Zhang; Dongyun Yi; Yi Wu 003 (Pattern Recognit., 2014)

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection. - Chenping Hou; Feiping Nie 001; Xuelong Li 001; Dongyun Yi; Yi Wu 003 (IEEE Trans. Cybern., 2014)

Orthogonal discriminant analysis revisited. - Yong Wang; Jian-Bin Xie; Yi Wu 003 (Pattern Recognit. Lett., 2016)