dblp.uni-trier.dewww.uni-trier.de

Jieping Ye Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

*2009
74EELiang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for a class of generalized eigenvalue problems in machine learning. ICML 2009: 123
73EEZenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King: Non-monotonic feature selection. ICML 2009: 144
72EELiu Yang, Rong Jin, Jieping Ye: Online learning by ellipsoid method. ICML 2009: 145
71EEJianhui Chen, Lei Tang, Jun Liu, Jieping Ye: A convex formulation for learning shared structures from multiple tasks. ICML 2009: 18
70EEShuiwang Ji, Jieping Ye: An accelerated gradient method for trace norm minimization. ICML 2009: 58
69EEJun Liu, Jieping Ye: Efficient Euclidean projections in linear time. ICML 2009: 83
68EEShuiwang Ji, Jieping Ye: Linear Dimensionality Reduction for Multi-label Classification. IJCAI 2009: 1077-1082
67EEJun Liu, Jianhui Chen, Songcan Chen, Jieping Ye: Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149
66EELiang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye: On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI 2009: 1230-1235
65EELei Tang, Jianhui Chen, Jieping Ye: On Multiple Kernel Learning with Multiple Labels. IJCAI 2009: 1255-1260
64EEZheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye: Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI 2009: 1363-1368
63EEYing-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou: DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IJCAI 2009: 1445-1450
62EELiang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye: Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. KDD 2009: 1335-1344
61EEShuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye: Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD 2009: 407-416
60EEJun Liu, Jianhui Chen, Jieping Ye: Large-scale sparse logistic regression. KDD 2009: 547-556
59EEBao-Hong Shen, Shuiwang Ji, Jieping Ye: Mining discrete patterns via binary matrix factorization. KDD 2009: 757-766
58EEShuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye: A bag-of-words approach for Drosophila gene expression pattern annotation. BMC Bioinformatics 10: (2009)
2008
57EEShuiwang Ji, Jieping Ye: A unified framework for generalized Linear Discriminant Analysis. CVPR 2008
56EELiang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for canonical correlation analysis. ICML 2008: 1024-1031
55EEJianhui Chen, Jieping Ye: Training SVM with indefinite kernels. ICML 2008: 136-143
54EEJieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene Alexander, Eric Reiman: Heterogeneous data fusion for alzheimer's disease study. KDD 2008: 1025-1033
53EEJianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye: Learning subspace kernels for classification. KDD 2008: 106-114
52EEShuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: Extracting shared subspace for multi-label classification. KDD 2008: 381-389
51EELiang Sun, Shuiwang Ji, Jieping Ye: Hypergraph spectral learning for multi-label classification. KDD 2008: 668-676
50EEZheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang: Identifying biologically relevant genes via multiple heterogeneous data sources. KDD 2008: 839-847
49EEShuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784
48EELiang Sun, Shuiwang Ji, Jieping Ye: Adaptive diffusion kernel learning from biological networks for protein function prediction. BMC Bioinformatics 9: (2008)
47EEShuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye: Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. Bioinformatics 24(17): 1881-1888 (2008)
46EEShuiwang Ji, Jieping Ye: Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study. IEEE Trans. Knowl. Data Eng. 20(10): 1311-1321 (2008)
45EEShuiwang Ji, Jieping Ye: Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. IEEE Transactions on Neural Networks 19(10): 1768-1782 (2008)
44EEQi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. International Journal on Artificial Intelligence Tools 17(1): 175-193 (2008)
43EEQi Li, Chandra Kambhamettu, Jieping Ye: An evaluation of identity representability of facial expressions using feature distributions. Neurocomputing 71(10-12): 1902-1912 (2008)
42EEQi Li, Jieping Ye, Chandra Kambhamettu: Interest point detection using imbalance oriented selection. Pattern Recognition 41(2): 672-688 (2008)
41EEJieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar: Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA. TKDD 2(1): (2008)
2007
40EEJieping Ye, Zheng Zhao, Huan Liu: Adaptive Distance Metric Learning for Clustering. CVPR 2007
39EEVineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan: Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. CVPR 2007
38EEJianhui Chen, Jieping Ye, Qi Li: Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. CVPR 2007
37EEJieping Ye: Least squares linear discriminant analysis. ICML 2007: 1087-1093
36EEJieping Ye, Jianhui Chen, Shuiwang Ji: Discriminant kernel and regularization parameter learning via semidefinite programming. ICML 2007: 1095-1102
35EEJianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu: Nonlinear adaptive distance metric learning for clustering. KDD 2007: 123-132
34EEJieping Ye, Shuiwang Ji, Jianhui Chen: Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. KDD 2007: 854-863
33EEJieping Ye, Zheng Zhao, Mingrui Wu: Discriminative K-means for Clustering. NIPS 2007
2006
32EEJieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539
31EETao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131
30EEJieping Ye, Tao Xiong: Null space versus orthogonal linear discriminant analysis. ICML 2006: 1073-1080
29EEQi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. ICTAI 2006: 677-684
28EEJieping Ye, Tie Wang: Regularized discriminant analysis for high dimensional, low sample size data. KDD 2006: 454-463
27EEJieping Ye, Tao Xiong, Ravi Janardan: CPM: A Covariance-preserving Projection Method. SDM 2006
26EEJieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom: Multiple Structure Alignment and Consensus Identification for Proteins. WABI 2006: 115-125
25EEJieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 18(10): 1312-1322 (2006)
24EEJieping Ye, Tao Xiong: Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis. Journal of Machine Learning Research 7: 1183-1204 (2006)
23EEQi Li, Jieping Ye, Chandra Kambhamettu: Spatial interest pixels (SIPs): useful low-level features of visual media data. Multimedia Tools Appl. 30(1): 89-108 (2006)
2005
22 Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005
21EEJieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005)
20EEJieping Ye, Qi Li: A Two-Stage Linear Discriminant Analysis via QR-Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 929-941 (2005)
19EEJieping Ye: Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. Journal of Machine Learning Research 6: 483-502 (2005)
18EEJieping Ye: Generalized Low Rank Approximations of Matrices. Machine Learning 61(1-3): 167-191 (2005)
2004
17EEQi Li, Jieping Ye, Chandra Kambhamettu: Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. CVPR (2) 2004: 474-481
16EEJieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature extraction via generalized uncorrelated linear discriminant analysis. ICML 2004
15EEJieping Ye: Generalized low rank approximations of matrices. ICML 2004
14EEJieping Ye, Ravi Janardan, Qi Li: GPCA: an efficient dimension reduction scheme for image compression and retrieval. KDD 2004: 354-363
13EEJieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373
12EETao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004
11EEJieping Ye, Ravi Janardan, Qi Li: Two-Dimensional Linear Discriminant Analysis. NIPS 2004
10EEJieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 982-994 (2004)
9EEJieping Ye, Tao Li, Tao Xiong, Ravi Janardan: Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 1(4): 181-190 (2004)
8EEJieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation. J. Bioinformatics and Computational Biology 2(4): 699-718 (2004)
7EEJieping Ye, Ravi Janardan: Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance. Journal of Computational Biology 11(5): 986-1000 (2004)
6EEJieping Ye, Qi Li: LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. Pattern Recognition 37(4): 851-854 (2004)
2003
5EEQi Li, Jieping Ye, Chandra Kambhamettu: Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. ICDM 2003: 163-170
4EEJieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426
3EEJieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. ICTAI 2003: 2-8
2000
2EERuibin Qu, Jieping Ye: Approximation of minimum energy curves. Applied Mathematics and Computation 108(2-3): 153-166 (2000)
1EERuibin Qu, Jieping Ye: Efficient approximation of minimum energy curves with interpolatory constraints. Applied Mathematics and Computation 109(2-3): 151-166 (2000)

Coauthor Index

1Gene Alexander [54]
2Min Bae [54]
3Vineeth Nallure Balasubramanian [39]
4Jinbo Bi [32]
5Betul Ceran [53]
6Yung Chang [50]
7Jianhui Chen [34] [35] [36] [38] [41] [53] [55] [60] [65] [67] [71]
8Kewei Chen [54] [62]
9Songcan Chen [67]
10Vladimir Cherkassky [12] [31] [32]
11Chris H. Q. Ding (Hong Q. Ding) [22]
12Ivaylo Ilinkin [26]
13Adam Isom [26]
14Ravi Janardan [3] [4] [7] [8] [9] [10] [11] [12] [13] [14] [16] [21] [25] [26] [27] [32] [41] [54]
15Shuiwang Ji [34] [36] [45] [46] [47] [48] [49] [51] [52] [53] [56] [57] [58] [59] [61] [63] [66] [68] [70] [74]
16Rong Jin [47] [49] [72] [73]
17Chandra Kambhamettu [5] [17] [23] [29] [32] [42] [43] [44]
18Irwin King [73]
19Sudhir Kumar [41] [47] [58] [61] [63]
20Vipin Kumar [13] [21]
21Jing Li [54] [62]
22Min Li [29] [44]
23Qi Li [5] [6] [11] [12] [13] [14] [16] [17] [20] [21] [23] [25] [29] [32] [38] [42] [43] [44] [53]
24Tao Li [9]
25Ying-Xin Li [58] [61] [63]
26Huan Liu [35] [40] [50] [54] [64]
27Jun Liu [60] [62] [67] [69] [71]
28Songtao Liu [3] [8]
29Michael R. Lyu [73]
30Sethuraman Panchanathan [39]
31Cheong Hee Park [4] [10]
32Haesun Park [4] [10] [13] [16] [21] [25]
33Rinkal Patel [54] [62]
34Ruibin Qu [1] [2]
35Eric Reiman [54] [62]
36Bao-Hong Shen [59]
37Liang Sun [47] [48] [49] [51] [56] [62] [64] [66] [74]
38Lei Tang [52] [65] [71]
39Jiangxin Wang [50]
40Tie Wang [28]
41Mingrui Wu [33] [53]
42Teresa Wu [54] [62]
43Hui Xiong [13] [21]
44Tao Xiong [9] [12] [24] [27] [30] [31] [32]
45Zenglin Xu [73]
46Liu Yang [72]
47Shipeng Yu [52] [64] [66]
48Lei Yuan [61]
49Zheng Zhao [33] [35] [40] [50] [54] [64]
50Zhi-Hua Zhou [58] [61] [63]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)