Jieping Ye

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2013
143A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye. CoRR (abs/1303.4434) (2013). Web SearchBibTeXDownload
142On Similarity Preserving Feature Selection. Zheng Zhao, Lei Wang, Huan Liu, Jieping Ye. IEEE Trans. Knowl. Data Eng. (25): 619-632 (2013). Web SearchBibTeXDownload
141Tensor Completion for Estimating Missing Values in Visual Data. Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye. IEEE Trans. Pattern Anal. Mach. Intell. (35): 208-220 (2013). Web SearchBibTeXDownload
140A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks. Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye. IEEE Trans. Pattern Anal. Mach. Intell. (35): 1025-1038 (2013). Web SearchBibTeXDownload
2012
139Perspective Analysis for Online Debates. Sukru Tikves, Sedat Gokalp, M'hamed H. Temkit, Sujogya Banerjee, Jieping Ye, Hasan Davulcu. ASONAM 2012, 898-905. Web SearchBibTeXDownload
138Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone. Sudhir Kumar, Kelly Boccia, Michael McCutchan, Jieping Ye. Bioinformatics (28): 2847-2848 (2012). Web SearchBibTeXDownload
137Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye. BMC Bioinformatics (13): 107 (2012). Web SearchBibTeXDownload
136Efficient Sparse Group Feature Selection via Nonconvex Optimization. Shuo Xiang, Xiaotong Shen, Jieping Ye. CoRR (abs/1205.5075) (2012). Web SearchBibTeXDownload
135Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization. Jun Liu, Shuiwang Ji, Jieping Ye. CoRR (abs/1205.2631) (2012). Web SearchBibTeXDownload
134Lasso Screening Rules via Dual Polytope Projection. Jie Wang, Binbin Lin, Pinghua Gong, Peter Wonka, Jieping Ye. CoRR (abs/1211.3966) (2012). Web SearchBibTeXDownload
133Fused Multiple Graphical Lasso. Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye. CoRR (abs/1209.2139) (2012). Web SearchBibTeXDownload
132Sparse Trace Norm Regularization. Jianhui Chen, Jieping Ye. CoRR (abs/1206.0333) (2012). Web SearchBibTeXDownload
131Matrix completion by Truncated Nuclear Norm Regularization. Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He. CVPR 2012, 2192-2199. Web SearchBibTeXDownload
130Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou. IEEE/ACM Trans. Comput. Biology Bioinform. (9): 98-112 (2012). Web SearchBibTeXDownload
129A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction. Rita Chattopadhyay, Mark Jesunathadas, Brach Poston, Marco Santello, Jieping Ye, Sethuraman Panchanathan. IEEE Trans. Biomed. Engineering (59): 1749-1757 (2012). Web SearchBibTeXDownload
128Feature grouping and selection over an undirected graph. Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye. KDD 2012, 922-930. Web SearchBibTeXDownload
127Batch mode active sampling based on marginal probability distribution matching. Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye. KDD 2012, 741-749. Web SearchBibTeXDownload
126Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye. KDD 2012, 1149-1157. Web SearchBibTeXDownload
125Optimal exact least squares rank minimization. Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye. KDD 2012, 480-488. Web SearchBibTeXDownload
124Modeling disease progression via fused sparse group lasso. Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye. KDD 2012, 1095-1103. Web SearchBibTeXDownload
123Robust multi-task feature learning. Pinghua Gong, Jieping Ye, Changshui Zhang. KDD 2012, 895-903. Web SearchBibTeXDownload
122Accelerated singular value thresholding for matrix completion. Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He. KDD 2012, 298-306. Web SearchBibTeXDownload
121Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye. NeuroImage (61): 622-632 (2012). Web SearchBibTeXDownload
120Multi-Stage Multi-Task Feature Learning. Pinghua Gong, Jieping Ye, Changshui Zhang. NIPS 2012, 1997-2005. Web SearchBibTeXDownload
119Generalization Bounds for Domain Adaptation. Chao Zhang, Lei Zhang, Jieping Ye. NIPS 2012. Web SearchBibTeXDownload
118Multi-task Vector Field Learning. Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He. NIPS 2012, 296-304. Web SearchBibTeXDownload
117Sparse non-negative tensor factorization using columnwise coordinate descent. Ji Liu, Jun Liu, Peter Wonka, Jieping Ye. Pattern Recognition (45): 649-656 (2012). Web SearchBibTeXDownload
116Sparse methods for biomedical data. Jieping Ye, Jun Liu. SIGKDD Explorations (14): 4-15 (2012). Web SearchBibTeXDownload
115Multisource domain adaptation and its application to early detection of fatigue. Rita Chattopadhyay, Qian Sun, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye. TKDD (6): 18 (2012). Web SearchBibTeXDownload
114Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. Jianhui Chen, Ji Liu, Jieping Ye. TKDD (5): 22 (2012). Web SearchBibTeXDownload
2011
113Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG). Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan. AAAI Spring Symposium: Computational Physiology 2011. Web SearchBibTeXDownload
112FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis. Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan, Stuart J. Newfeld. Bioinformatics (27): 3319-3320 (2011). Web SearchBibTeXDownload
111Matrix-variate and higher-order probabilistic projections. Shipeng Yu, Jinbo Bi, Jieping Ye. Data Min. Knowl. Discov. (22): 372-392 (2011). Web SearchBibTeXDownload
110Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease. Jieping Ye, Teresa Wu, Jing Li, Kewei Chen. IEEE Computer (44): 99-101 (2011). Web SearchBibTeXDownload
109Efficient Sparse Generalized Multiple Kernel Learning. Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu. IEEE Transactions on Neural Networks (22): 433-446 (2011). Web SearchBibTeXDownload
108Tuberculosis Surveillance by Analyzing Google Trends. Xichuan Zhou, Jieping Ye, Yujie Feng. IEEE Trans. Biomed. Engineering (58): 2247-2254 (2011). Web SearchBibTeXDownload
107Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis. Liang Sun, Shuiwang Ji, Jieping Ye. IEEE Trans. Pattern Anal. Mach. Intell. (33): 194-200 (2011). Web SearchBibTeXDownload
106A multi-task learning formulation for predicting disease progression. Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye. KDD 2011, 814-822. Web SearchBibTeXDownload
105Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman. KDD 2011, 931-939. Web SearchBibTeXDownload
104Integrating low-rank and group-sparse structures for robust multi-task learning. Jianhui Chen, Jiayu Zhou, Jieping Ye. KDD 2011, 42-50. Web SearchBibTeXDownload
103Multi-source domain adaptation and its application to early detection of fatigue. Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson. KDD 2011, 717-725. Web SearchBibTeXDownload
102Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman. NIPS 2011, 1431-1439. Web SearchBibTeXDownload
101Clustered Multi-Task Learning Via Alternating Structure Optimization. Jiayu Zhou, Jianhui Chen, Jieping Ye. NIPS 2011, 702-710. Web SearchBibTeXDownload
100A Two-Stage Weighting Framework for Multi-Source Domain Adaptation. Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye. NIPS 2011, 505-513. Web SearchBibTeXDownload
99Projection onto A Nonnegative Max-Heap. Jun Liu, Liang Sun, Jieping Ye. NIPS 2011, 487-495. Web SearchBibTeXDownload
98Efficient Methods for Overlapping Group Lasso. Lei Yuan, Jun Liu, Jieping Ye. NIPS 2011, 352-360. Web SearchBibTeXDownload
2010
97Multiple structure alignment and consensus identification for proteins. Ivaylo Ilinkin, Jieping Ye, Ravi Janardan. BMC Bioinformatics (11): 71 (2010). Web SearchBibTeXDownload
96Fast Overlapping Group Lasso. Jun Liu, Jieping Ye. CoRR (abs/1009.0306) (2010). Web SearchBibTeXDownload
95Efficient L1/Lq Norm Regularization. Jun Liu, Jieping Ye. CoRR (abs/1009.4766) (2010). Web SearchBibTeXDownload
94Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye. ICMLA 2010, 235-242. Web SearchBibTeXDownload
93Learning incoherent sparse and low-rank patterns from multiple tasks. Jianhui Chen, Ji Liu, Jieping Ye. KDD 2010, 1179-1188. Web SearchBibTeXDownload
92A scalable two-stage approach for a class of dimensionality reduction techniques. Liang Sun, Betul Ceran, Jieping Ye. KDD 2010, 313-322. Web SearchBibTeXDownload
91An efficient algorithm for a class of fused lasso problems. Jun Liu, Lei Yuan, Jieping Ye. KDD 2010, 323-332. Web SearchBibTeXDownload
90Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman, the Alzheimer's Disease NeuroImaging Initiative. NeuroImage (50): 935-949 (2010). Web SearchBibTeXDownload
89Multi-Stage Dantzig Selector. Ji Liu, Peter Wonka, Jieping Ye. NIPS 2010, 1450-1458. Web SearchBibTeXDownload
88Moreau-Yosida Regularization for Grouped Tree Structure Learning. Jun Liu, Jieping Ye. NIPS 2010, 1459-1467. Web SearchBibTeXDownload
87Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye. SIAM Journal on Optimization (20): 3465-3489 (2010). Web SearchBibTeXDownload
86A shared-subspace learning framework for multi-label classification. Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye. TKDD (4) (2010). Web SearchBibTeXDownload
2009
85A bag-of-words approach for Drosophila gene expression pattern annotation. Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye. BMC Bioinformatics (10) (2009). Web SearchBibTeXDownload
84Biological Image Analysis via Matrix Approximation. Jieping Ye, Ravi Janardan, Sudhir Kumar. Encyclopedia of Data Warehousing and Mining 2009, 166-170. Web SearchBibTeXDownload
83Interest Pixel Mining. Qi Li, Jieping Ye, Chandra Kambhamettu. Encyclopedia of Data Warehousing and Mining 2009, 1091-1096. Web SearchBibTeXDownload
82Tensor completion for estimating missing values in visual data. Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye. ICCV 2009, 2114-2121. Web SearchBibTeXDownload
81A convex formulation for learning shared structures from multiple tasks. Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye. ICML 2009, 18. Web SearchBibTeXDownload
80A least squares formulation for a class of generalized eigenvalue problems in machine learning. Liang Sun, Shuiwang Ji, Jieping Ye. ICML 2009, 123. Web SearchBibTeXDownload
79An accelerated gradient method for trace norm minimization. Shuiwang Ji, Jieping Ye. ICML 2009, 58. Web SearchBibTeXDownload
78Non-monotonic feature selection. Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King. ICML 2009, 144. Web SearchBibTeXDownload
77Online learning by ellipsoid method. Liu Yang, Rong Jin, Jieping Ye. ICML 2009, 145. Web SearchBibTeXDownload
76Efficient Euclidean projections in linear time. Jun Liu, Jieping Ye. ICML 2009, 83. Web SearchBibTeXDownload
75A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. Mingrui Wu, Jieping Ye. IEEE Trans. Pattern Anal. Mach. Intell. (31): 2088-2092 (2009). Web SearchBibTeXDownload
74Compressed Facade Displacement Maps. Saif Ali, Jieping Ye, Anshuman Razdan, Peter Wonka. IEEE Trans. Vis. Comput. Graph. (15): 262-273 (2009). Web SearchBibTeXDownload
73Learning the Optimal Neighborhood Kernel for Classification. Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye. IJCAI 2009, 1144-1149. Web SearchBibTeXDownload
72DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou. IJCAI 2009, 1445-1450. Web SearchBibTeXDownload
71On Multiple Kernel Learning with Multiple Labels. Lei Tang, Jianhui Chen, Jieping Ye. IJCAI 2009, 1255-1260. Web SearchBibTeXDownload
70Multiclass Probabilistic Kernel Discriminant Analysis. Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye. IJCAI 2009, 1363-1368. Web SearchBibTeXDownload
69Linear Dimensionality Reduction for Multi-label Classification. Shuiwang Ji, Jieping Ye. IJCAI 2009, 1077-1082. Web SearchBibTeXDownload
68On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye. IJCAI 2009, 1230-1235. Web SearchBibTeXDownload
67Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye. KDD 2009, 1335-1344. Web SearchBibTeXDownload
66Large-scale sparse logistic regression. Jun Liu, Jianhui Chen, Jieping Ye. KDD 2009, 547-556. Web SearchBibTeXDownload
65Drosophila gene expression pattern annotation using sparse features and term-term interactions. Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye. KDD 2009, 407-416. Web SearchBibTeXDownload
64Mining discrete patterns via binary matrix factorization. Bao-Hong Shen, Shuiwang Ji, Jieping Ye. KDD 2009, 757-766. Web SearchBibTeXDownload
63Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye. NIPS 2009, 808-816. Web SearchBibTeXDownload
62Efficient Recovery of Jointly Sparse Vectors. Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye. NIPS 2009, 1812-1820. Web SearchBibTeXDownload
61Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. Jun Liu, Shuiwang Ji, Jieping Ye. UAI 2009, 339-348. Web SearchBibTeXDownload
2008
60Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye. Bioinformatics (24): 1881-1888 (2008). Web SearchBibTeXDownload
59Adaptive diffusion kernel learning from biological networks for protein function prediction. Liang Sun, Shuiwang Ji, Jieping Ye. BMC Bioinformatics (9) (2008). Web SearchBibTeXDownload
58A unified framework for generalized Linear Discriminant Analysis. Shuiwang Ji, Jieping Ye. CVPR 2008. Web SearchBibTeXDownload
57A least squares formulation for canonical correlation analysis. Liang Sun, Shuiwang Ji, Jieping Ye. ICML 2008, 1024-1031. Web SearchBibTeXDownload
56Training SVM with indefinite kernels. Jianhui Chen, Jieping Ye. ICML 2008, 136-143. Web SearchBibTeXDownload
55Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. Shuiwang Ji, Jieping Ye. IEEE Transactions on Neural Networks (19): 1768-1782 (2008). Web SearchBibTeXDownload
54Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study. Shuiwang Ji, Jieping Ye. IEEE Trans. Knowl. Data Eng. (20): 1311-1321 (2008). Web SearchBibTeXDownload
53Adaptive Appearance Based Face Recognition. Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu. International Journal on Artificial Intelligence Tools (17): 175-193 (2008). Web SearchBibTeXDownload
52Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion. Jieping Ye. Journal of Machine Learning Research (9): 517-519 (2008). Web SearchBibTeXDownload
51Multi-class Discriminant Kernel Learning via Convex Programming. Jieping Ye, Shuiwang Ji, Jianhui Chen. Journal of Machine Learning Research (9): 719-758 (2008). Web SearchBibTeXDownload
50Identifying biologically relevant genes via multiple heterogeneous data sources. Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang. KDD 2008, 839-847. Web SearchBibTeXDownload
49Extracting shared subspace for multi-label classification. Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye. KDD 2008, 381-389. Web SearchBibTeXDownload
48Heterogeneous data fusion for alzheimer's disease study. Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene Alexander, Eric Reiman. KDD 2008, 1025-1033. Web SearchBibTeXDownload
47Hypergraph spectral learning for multi-label classification. Liang Sun, Shuiwang Ji, Jieping Ye. KDD 2008, 668-676. Web SearchBibTeXDownload
46Learning subspace kernels for classification. Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye. KDD 2008, 106-114. Web SearchBibTeXDownload
45An evaluation of identity representability of facial expressions using feature distributions. Qi Li, Chandra Kambhamettu, Jieping Ye. Neurocomputing (71): 1902-1912 (2008). Web SearchBibTeXDownload
44Multi-label Multiple Kernel Learning. Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye. NIPS 2008, 777-784. Web SearchBibTeXDownload
43Interest point detection using imbalance oriented selection. Qi Li, Jieping Ye, Chandra Kambhamettu. Pattern Recognition (41): 672-688 (2008). Web SearchBibTeXDownload
42Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA. Jieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar. TKDD (2) (2008). Web SearchBibTeXDownload
2007
41Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan. CVPR 2007. Web SearchBibTeXDownload
40Adaptive Distance Metric Learning for Clustering. Jieping Ye, Zheng Zhao, Huan Liu. CVPR 2007. Web SearchBibTeXDownload
39Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. Jianhui Chen, Jieping Ye, Qi Li. CVPR 2007. Web SearchBibTeXDownload
38Discriminant kernel and regularization parameter learning via semidefinite programming. Jieping Ye, Jianhui Chen, Shuiwang Ji. ICML 2007, 1095-1102. Web SearchBibTeXDownload
37Least squares linear discriminant analysis. Jieping Ye. ICML 2007, 1087-1093. Web SearchBibTeXDownload
36SVM versus Least Squares SVM. Jieping Ye, Tao Xiong. Journal of Machine Learning Research - Proceedings Track (2): 644-651 (2007). Web SearchBibTeXDownload
35Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. Jieping Ye, Shuiwang Ji, Jianhui Chen. KDD 2007, 854-863. Web SearchBibTeXDownload
34Nonlinear adaptive distance metric learning for clustering. Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu. KDD 2007, 123-132. Web SearchBibTeXDownload
33Discriminative K-means for Clustering. Jieping Ye, Zheng Zhao, Mingrui Wu. NIPS 2007. Web SearchBibTeXDownload
2006
32Efficient model selection for regularized linear discriminant analysis. Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu. CIKM 2006, 532-539. Web SearchBibTeXDownload
31Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. Tao Xiong, Jieping Ye, Vladimir Cherkassky. CVPR (1) 2006, 125-131. Web SearchBibTeXDownload
30Null space versus orthogonal linear discriminant analysis. Jieping Ye, Tao Xiong. ICML 2006, 1073-1080. Web SearchBibTeXDownload
29Adaptive Appearance Based Face Recognition. Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu. ICTAI 2006, 677-684. Web SearchBibTeXDownload
28Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park. IEEE Trans. Knowl. Data Eng. (18): 1312-1322 (2006). Web SearchBibTeXDownload
27Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis. Jieping Ye, Tao Xiong. Journal of Machine Learning Research (7): 1183-1204 (2006). Web SearchBibTeXDownload
26Regularized discriminant analysis for high dimensional, low sample size data. Jieping Ye, Tie Wang. KDD 2006, 454-463. Web SearchBibTeXDownload
25Spatial interest pixels (SIPs): useful low-level features of visual media data. Qi Li, Jieping Ye, Chandra Kambhamettu. Multimedia Tools Appl. (30): 89-108 (2006). Web SearchBibTeXDownload
24CPM: A Covariance-preserving Projection Method. Jieping Ye, Tao Xiong, Ravi Janardan. SDM 2006. Web SearchBibTeXDownload
23Multiple Structure Alignment and Consensus Identification for Proteins. Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom. WABI 2006, 115-125. Web SearchBibTeXDownload
2005
22IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar. IEEE Trans. Knowl. Data Eng. (17): 1208-1222 (2005). Cited by 27Web SearchBibTeXDownload
21A Two-Stage Linear Discriminant Analysis via QR-Decomposition. Jieping Ye, Qi Li. IEEE Trans. Pattern Anal. Mach. Intell. (27): 929-941 (2005). Web SearchBibTeXDownload
20Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. Jieping Ye. Journal of Machine Learning Research (6): 483-502 (2005). Web SearchBibTeXDownload
19Generalized Low Rank Approximations of Matrices. Jieping Ye. Machine Learning (61): 167-191 (2005). Web SearchBibTeXDownload
182-Dimensional Singular Value Decomposition for 2D Maps and Images. Chris H. Q. Ding, Jieping Ye. SDM 2005. Web SearchBibTeX
2004
17Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. Qi Li, Jieping Ye, Chandra Kambhamettu. CVPR (2) 2004, 474-481. Web SearchBibTeXDownload
16Generalized low rank approximations of matrices. Jieping Ye. ICML 2004. Web SearchBibTeXDownload
15Feature extraction via generalized uncorrelated linear discriminant analysis. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park. ICML 2004. Web SearchBibTeXDownload
14Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. Jieping Ye, Tao Li, Tao Xiong, Ravi Janardan. IEEE/ACM Trans. Comput. Biology Bioinform. (1): 181-190 (2004). Web SearchBibTeXDownload
13An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park. IEEE Trans. Pattern Anal. Mach. Intell. (26): 982-994 (2004). Web SearchBibTeXDownload
12Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation. Jieping Ye, Ravi Janardan, Songtao Liu. J. Bioinformatics and Computational Biology (2): 699-718 (2004). Web SearchBibTeXDownload
11Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance. Jieping Ye, Ravi Janardan. Journal of Computational Biology (11): 986-1000 (2004). Web SearchBibTeXDownload
10GPCA: an efficient dimension reduction scheme for image compression and retrieval. Jieping Ye, Ravi Janardan, Qi Li. KDD 2004, 354-363. Web SearchBibTeXDownload
9IDR/QR: an incremental dimension reduction algorithm via QR decomposition. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar. KDD 2004, 364-373. Web SearchBibTeXDownload
8Efficient Kernel Discriminant Analysis via QR Decomposition. Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky. NIPS 2004. Web SearchBibTeXDownload
7Two-Dimensional Linear Discriminant Analysis. Jieping Ye, Ravi Janardan, Qi Li. NIPS 2004. Web SearchBibTeXDownload
6LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. Jieping Ye, Qi Li. Pattern Recognition (37): 851-854 (2004). Web SearchBibTeXDownload
2003
5Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. Qi Li, Jieping Ye, Chandra Kambhamettu. ICDM 2003, 163-170. Web SearchBibTeXDownload
4A new optimization criterion for generalized discriminant analysis on undersampled problems. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park. ICDM 2003, 419-426. Web SearchBibTeXDownload
3Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. Jieping Ye, Ravi Janardan, Songtao Liu. ICTAI 2003, 2-8. Web SearchBibTeXDownload
2000
2Efficient approximation of minimum energy curves with interpolatory constraints. Ruibin Qu, Jieping Ye. Applied Mathematics and Computation (109): 151-166 (2000). Web SearchBibTeXDownload
1Approximation of minimum energy curves. Ruibin Qu, Jieping Ye. Applied Mathematics and Computation (108): 153-166 (2000). Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ KDD 2008: Sessions - Retrieved 2009-11-21 - details
3. ^ CSE Colloquium Series: Dr. Jieping Ye - Retrieved 2010-06-27 - details
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