Ying-Ke Lei

Tianbao Dong, Ying-Ke Lei, Jingshu Yang: An algorithm for underdetermined mixing matrix estimation. Neurocomputing 104: 26-34 (2013)

Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei: Face recognition via Weighted Sparse Representation. J. Visual Communication and Image Representation 24(2): 111-116 (2013)

Shanwen Zhang, Ying-Ke Lei, Tianbao Dong, Xiao-Ping Zhang: Label propagation based supervised locality projection analysis for plant leaf classification. Pattern Recognition 46(7): 1891-1897 (2013)

Ying-Ke Lei, Zhu-Hong You, Tianbao Dong, Yun-Xiao Jiang, Jun-An Yang: Increasing reliability of protein interactome by fast manifold embedding. Pattern Recognition Letters 34(4): 372-379 (2013)

Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang: Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. BMC Bioinformatics 13(S-7): S3 (2012)

Wei Jia, Hai-Yang Cai, Jie Gui, Rong-Xiang Hu, Ying-Ke Lei, Xiao-Feng Wang: Newborn footprint recognition using orientation feature. Neural Computing and Applications 21(8): 1855-1863 (2012)

Ying-Ke Lei, Yangming Xu, Jun-An Yang, Zhi-Guo Ding, Jie Gui: Feature extraction using orthogonal discriminant local tangent space alignment. Pattern Anal. Appl. 15(3): 249-259 (2012)

Jie Gui, Zhenan Sun, Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Shuiwang Ji: Discriminant sparse neighborhood preserving embedding for face recognition. Pattern Recognition 45(8): 2884-2893 (2012)

Zhuhong You, Ying-Ke Lei, Zhen Ji, Zexuan Zhu: A Novel Approach to Modelling Protein-Protein Interaction Networks. ICSI (2) 2012: 49-57

Shanwen Zhang, Ying-Ke Lei: Modified locally linear discriminant embedding for plant leaf recognition. Neurocomputing 74(14-15): 2284-2290 (2011)

Shanwen Zhang, Ying-Ke Lei, Yan-Hua Wu: Semi-supervised locally discriminant projection for classification and recognition. Knowl.-Based Syst. 24(2): 341-346 (2011)

Ying-Ke Lei, Zhi-Guo Ding, Rong-Xiang Hu, Shanwen Zhang, Wei Jia: Orthogonal local spline discriminant projection with application to face recognition. Pattern Recognition Letters 32(4): 615-625 (2011)

Jie Gui, Shu-Lin Wang, Ying-Ke Lei: Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data. Artificial Intelligence in Medicine 50(3): 181-191 (2010)

Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou: Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinformatics 26(21): 2744-2751 (2010)

Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei: Maximum margin criterion with tensor representation. Neurocomputing 73(10-12): 1541-1549 (2010)

Ying-Ke Lei, Yangming Xu, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding: Fast ISOMAP Based on Minimum Set Coverage. ICIC (2) 2010: 173-179

Shu-Lin Wang, Hong-Zhu You, Ying-Ke Lei, Xueling Li: Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods. ICIC (1) 2010: 291-300

Ying-Ke Lei, Hong-Jun Wang, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding: Orthogonal Discriminant Local Tangent Space Alignment. ICIC (1) 2010: 423-429

Wei Jia, Jie Gui, Rong-Xiang Hu, Ying-Ke Lei, Xue-Yang Xiao: Newborn Footprint Recognition Using Subspace Learning Methods. ICIC (1) 2010: 447-453

Hai Min, Xiao-Feng Wang, Ying-Ke Lei: A Novel Level Set Model Based on Local Information. ICIC (1) 2010: 507-514

Ying-Ke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang: Orthogonal linear local spline discriminant embedding for face recognition. IJCNN 2010: 1-8

Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang: Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN 2010: 1-6

Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang: Two-dimensional Neighborhood Discriminant Projection. IJCNN 2010: 1-7

Wei Jia, Rong-Xiang Hu, Jie Gui, Ying-Ke Lei: Newborn Footprint Recognition Using Band-Limited Phase-Only Correlation. ICMB 2010: 83-93