 | 2009 |
|---|
| 75 |       | Liang Sun,
Shuiwang Ji,
Jieping Ye:
A least squares formulation for a class of generalized eigenvalue problems in machine learning.
ICML 2009: 123 |
| 74 | | Zenglin Xu,
Rong Jin,
Jieping Ye,
Michael R. Lyu,
Irwin King:
Non-monotonic feature selection.
ICML 2009: 144 |
| 73 | | Liu Yang,
Rong Jin,
Jieping Ye:
Online learning by ellipsoid method.
ICML 2009: 145 |
| 72 | | Jianhui Chen,
Lei Tang,
Jun Liu,
Jieping Ye:
A convex formulation for learning shared structures from multiple tasks.
ICML 2009: 18 |
| 71 | | Shuiwang Ji,
Jieping Ye:
An accelerated gradient method for trace norm minimization.
ICML 2009: 58 |
| 70 | | Jun Liu,
Jieping Ye:
Efficient Euclidean projections in linear time.
ICML 2009: 83 |
| 69 | | Shuiwang Ji,
Jieping Ye:
Linear Dimensionality Reduction for Multi-label Classification.
IJCAI 2009: 1077-1082 |
| 68 | | Jun Liu,
Jianhui Chen,
Songcan Chen,
Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification.
IJCAI 2009: 1144-1149 |
| 67 | | Liang Sun,
Shuiwang Ji,
Shipeng Yu,
Jieping Ye:
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
IJCAI 2009: 1230-1235 |
| 66 | | Lei Tang,
Jianhui Chen,
Jieping Ye:
On Multiple Kernel Learning with Multiple Labels.
IJCAI 2009: 1255-1260 |
| 65 | | Zheng Zhao,
Liang Sun,
Shipeng Yu,
Huan Liu,
Jieping Ye:
Multiclass Probabilistic Kernel Discriminant Analysis.
IJCAI 2009: 1363-1368 |
| 64 | | Ying-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 |
| 63 | | Liang 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 |
| 62 | | Shuiwang 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 |
| 61 | | Jun Liu,
Jianhui Chen,
Jieping Ye:
Large-scale sparse logistic regression.
KDD 2009: 547-556 |
| 60 | | Bao-Hong Shen,
Shuiwang Ji,
Jieping Ye:
Mining discrete patterns via binary matrix factorization.
KDD 2009: 757-766 |
| 59 | | Shuiwang 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) |
| 58 | | Saif Ali,
Jieping Ye,
Anshuman Razdan,
Peter Wonka:
Compressed Facade Displacement Maps.
IEEE Trans. Vis. Comput. Graph. 15(2): 262-273 (2009) |
| 2008 |
|---|
| 57 | | Shuiwang Ji,
Jieping Ye:
A unified framework for generalized Linear Discriminant Analysis.
CVPR 2008 |
| 56 | | Liang Sun,
Shuiwang Ji,
Jieping Ye:
A least squares formulation for canonical correlation analysis.
ICML 2008: 1024-1031 |
| 55 | | Jianhui Chen,
Jieping Ye:
Training SVM with indefinite kernels.
ICML 2008: 136-143 |
| 54 | | Jieping 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 |
| 53 | | Jianhui Chen,
Shuiwang Ji,
Betul Ceran,
Qi Li,
Mingrui Wu,
Jieping Ye:
Learning subspace kernels for classification.
KDD 2008: 106-114 |
| 52 | | Shuiwang Ji,
Lei Tang,
Shipeng Yu,
Jieping Ye:
Extracting shared subspace for multi-label classification.
KDD 2008: 381-389 |
| 51 | | Liang Sun,
Shuiwang Ji,
Jieping Ye:
Hypergraph spectral learning for multi-label classification.
KDD 2008: 668-676 |
| 50 | | Zheng Zhao,
Jiangxin Wang,
Huan Liu,
Jieping Ye,
Yung Chang:
Identifying biologically relevant genes via multiple heterogeneous data sources.
KDD 2008: 839-847 |
| 49 | | Shuiwang Ji,
Liang Sun,
Rong Jin,
Jieping Ye:
Multi-label Multiple Kernel Learning.
NIPS 2008: 777-784 |
| 48 | | Liang Sun,
Shuiwang Ji,
Jieping Ye:
Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinformatics 9: (2008) |
| 47 | | Shuiwang 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) |
| 46 | | Shuiwang Ji,
Jieping Ye:
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng. 20(10): 1311-1321 (2008) |
| 45 | | Shuiwang Ji,
Jieping Ye:
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Transactions on Neural Networks 19(10): 1768-1782 (2008) |
| 44 | | Qi Li,
Jieping Ye,
Min Li,
Chandra Kambhamettu:
Adaptive Appearance Based Face Recognition.
International Journal on Artificial Intelligence Tools 17(1): 175-193 (2008) |
| 43 | | Qi Li,
Chandra Kambhamettu,
Jieping Ye:
An evaluation of identity representability of facial expressions using feature distributions.
Neurocomputing 71(10-12): 1902-1912 (2008) |
| 42 | | Qi Li,
Jieping Ye,
Chandra Kambhamettu:
Interest point detection using imbalance oriented selection.
Pattern Recognition 41(2): 672-688 (2008) |
| 41 | | Jieping 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 |
|---|
| 40 | | Jieping Ye,
Zheng Zhao,
Huan Liu:
Adaptive Distance Metric Learning for Clustering.
CVPR 2007 |
| 39 | | Vineeth Nallure Balasubramanian,
Jieping Ye,
Sethuraman Panchanathan:
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation.
CVPR 2007 |
| 38 | | Jianhui Chen,
Jieping Ye,
Qi Li:
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
CVPR 2007 |
| 37 | | Jieping Ye:
Least squares linear discriminant analysis.
ICML 2007: 1087-1093 |
| 36 | | Jieping Ye,
Jianhui Chen,
Shuiwang Ji:
Discriminant kernel and regularization parameter learning via semidefinite programming.
ICML 2007: 1095-1102 |
| 35 | | Jianhui Chen,
Zheng Zhao,
Jieping Ye,
Huan Liu:
Nonlinear adaptive distance metric learning for clustering.
KDD 2007: 123-132 |
| 34 | | Jieping Ye,
Shuiwang Ji,
Jianhui Chen:
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
KDD 2007: 854-863 |
| 33 | | Jieping Ye,
Zheng Zhao,
Mingrui Wu:
Discriminative K-means for Clustering.
NIPS 2007 |
| 2006 |
|---|
| 32 | | Jieping 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 |
| 31 | | Tao Xiong,
Jieping Ye,
Vladimir Cherkassky:
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
CVPR (1) 2006: 125-131 |
| 30 | | Jieping Ye,
Tao Xiong:
Null space versus orthogonal linear discriminant analysis.
ICML 2006: 1073-1080 |
| 29 | | Qi Li,
Jieping Ye,
Min Li,
Chandra Kambhamettu:
Adaptive Appearance Based Face Recognition.
ICTAI 2006: 677-684 |
| 28 | | Jieping Ye,
Tie Wang:
Regularized discriminant analysis for high dimensional, low sample size data.
KDD 2006: 454-463 |
| 27 | | Jieping Ye,
Tao Xiong,
Ravi Janardan:
CPM: A Covariance-preserving Projection Method.
SDM 2006 |
| 26 | | Jieping Ye,
Ivaylo Ilinkin,
Ravi Janardan,
Adam Isom:
Multiple Structure Alignment and Consensus Identification for Proteins.
WABI 2006: 115-125 |
| 25 | | Jieping 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) |
| 24 | | Jieping Ye,
Tao Xiong:
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis.
Journal of Machine Learning Research 7: 1183-1204 (2006) |
| 23 | | Qi 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 |
| 21 | | Jieping 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) |
| 20 | | Jieping Ye,
Qi Li:
A Two-Stage Linear Discriminant Analysis via QR-Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 929-941 (2005) |
| 19 | | Jieping Ye:
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems.
Journal of Machine Learning Research 6: 483-502 (2005) |
| 18 | | Jieping Ye:
Generalized Low Rank Approximations of Matrices.
Machine Learning 61(1-3): 167-191 (2005) |
| 2004 |
|---|
| 17 | | Qi Li,
Jieping Ye,
Chandra Kambhamettu:
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.
CVPR (2) 2004: 474-481 |
| 16 | | Jieping Ye,
Ravi Janardan,
Qi Li,
Haesun Park:
Feature extraction via generalized uncorrelated linear discriminant analysis.
ICML 2004 |
| 15 | | Jieping Ye:
Generalized low rank approximations of matrices.
ICML 2004 |
| 14 | | Jieping Ye,
Ravi Janardan,
Qi Li:
GPCA: an efficient dimension reduction scheme for image compression and retrieval.
KDD 2004: 354-363 |
| 13 | | Jieping 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 |
| 12 | | Tao Xiong,
Jieping Ye,
Qi Li,
Ravi Janardan,
Vladimir Cherkassky:
Efficient Kernel Discriminant Analysis via QR Decomposition.
NIPS 2004 |
| 11 | | Jieping Ye,
Ravi Janardan,
Qi Li:
Two-Dimensional Linear Discriminant Analysis.
NIPS 2004 |
| 10 | | Jieping 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) |
| 9 | | Jieping 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) |
| 8 | | Jieping 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) |
| 7 | | Jieping Ye,
Ravi Janardan:
Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance.
Journal of Computational Biology 11(5): 986-1000 (2004) |
| 6 | | Jieping Ye,
Qi Li:
LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation.
Pattern Recognition 37(4): 851-854 (2004) |
| 2003 |
|---|
| 5 | | Qi Li,
Jieping Ye,
Chandra Kambhamettu:
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data.
ICDM 2003: 163-170 |
| 4 | | Jieping Ye,
Ravi Janardan,
Cheong Hee Park,
Haesun Park:
A new optimization criterion for generalized discriminant analysis on undersampled problems.
ICDM 2003: 419-426 |
| 3 | | Jieping Ye,
Ravi Janardan,
Songtao Liu:
Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry.
ICTAI 2003: 2-8 |
| 2000 |
|---|
| 2 | | Ruibin Qu,
Jieping Ye:
Approximation of minimum energy curves.
Applied Mathematics and Computation 108(2-3): 153-166 (2000) |
| 1 | | Ruibin Qu,
Jieping Ye:
Efficient approximation of minimum energy curves with interpolatory constraints.
Applied Mathematics and Computation 109(2-3): 151-166 (2000) |
