| 2012 | ||
|---|---|---|
| j10 | Songfeng Zheng, Weixiang Liu: Functional gradient ascent for Probit regression. Pattern Recognition 45(12): 4428-4437 (2012) | |
| 2011 | ||
| j9 | Songfeng Zheng, Weixiang Liu: An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comp. in Bio. and Med. 41(11): 1033-1040 (2011) | |
| 2010 | ||
| c8 | Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu: Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268 | |
| c7 | Songfeng Zheng, Weixiang Liu: Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM 2010: 677-680 | |
| c6 | Songfeng Zheng, Weixiang Liu: Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP 2010: 81-86 | |
| c5 | Songfeng Zheng, Weixiang Liu: Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP 2010: 146-151 | |
| c4 | Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji: Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS 2010: 72-75 | |
| 2008 | ||
| j8 | Weixiang Liu, Kehong Yuan, Datian Ye: On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artificial Intelligence in Medicine 44(1): 1-5 (2008) | |
| j7 | Weixiang Liu, Kehong Yuan: Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. IJDMB 2(3): 236-249 (2008) | |
| j6 | Weixiang Liu, Kehong Yuan, Jian Wu, Datian Ye, Zhen Ji, Siping Chen: Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. IJPRAI 22(8): 1587-1598 (2008) | |
| j5 | Weixiang Liu, Kehong Yuan, Datian Ye: Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. Journal of Biomedical Informatics 41(4): 602-606 (2008) | |
| c3 | Weixiang Liu, Fei Peng, Shu Feng, Jiangsheng You, Ziqiang Chen, Jian Wu, Kehong Yuan, Datian Ye: Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. ICMB 2008: 41-48 | |
| 2006 | ||
| j4 | Weixiang Liu, Nanning Zheng, Songfeng Zheng: Learning Sparse Mixture Models for Discriminative Classification. IJPRAI 20(3): 431-440 (2006) | |
| 2005 | ||
| c2 | Kun Wang, Nanning Zheng, Weixiang Liu: Natural image matting with non-negative matrix factorization. ICIP (2) 2005: 1186-1189 | |
| 2004 | ||
| j3 | Weixiang Liu, Nanning Zheng, Xi Li: Relative gradient speeding up additive updates for nonnegative matrix factorization. Neurocomputing 57: 493-499 (2004) | |
| j2 | Weixiang Liu, Nanning Zheng: Learning sparse features for classification by mixture models. Pattern Recognition Letters 25(2): 155-161 (2004) | |
| j1 | Weixiang Liu, Nanning Zheng: Non-negative matrix factorization based methods for object recognition. Pattern Recognition Letters 25(8): 893-897 (2004) | |
| c1 | Weixiang Liu, Nanning Zheng, Xi Li: Nonnegative Matrix Factorization for EEG Signal Classification. ISNN (2) 2004: 470-475 | |
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