Shuiwang Ji

	2009
20		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for a class of generalized eigenvalue problems in machine learning. ICML 2009: 123
19		Shuiwang Ji, Jieping Ye: An accelerated gradient method for trace norm minimization. ICML 2009: 58
18		Shuiwang Ji, Jieping Ye: Linear Dimensionality Reduction for Multi-label Classification. IJCAI 2009: 1077-1082
17		Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye: On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI 2009: 1230-1235
16		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
15		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
14		Bao-Hong Shen, Shuiwang Ji, Jieping Ye: Mining discrete patterns via binary matrix factorization. KDD 2009: 757-766
13		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)
	2008
12		Shuiwang Ji, Jieping Ye: A unified framework for generalized Linear Discriminant Analysis. CVPR 2008
11		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for canonical correlation analysis. ICML 2008: 1024-1031
10		Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye: Learning subspace kernels for classification. KDD 2008: 106-114
9		Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: Extracting shared subspace for multi-label classification. KDD 2008: 381-389
8		Liang Sun, Shuiwang Ji, Jieping Ye: Hypergraph spectral learning for multi-label classification. KDD 2008: 668-676
7		Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784
6		Liang Sun, Shuiwang Ji, Jieping Ye: Adaptive diffusion kernel learning from biological networks for protein function prediction. BMC Bioinformatics 9: (2008)
5		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)
4		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)
3		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)
	2007
2		Jieping Ye, Jianhui Chen, Shuiwang Ji: Discriminant kernel and regularization parameter learning via semidefinite programming. ICML 2007: 1095-1102
1		Jieping Ye, Shuiwang Ji, Jianhui Chen: Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. KDD 2007: 854-863

Coauthor Index

1	Betul Ceran	[10]
2	Jianhui Chen	[1] [2] [10]
3	Rong Jin	[5] [7]
4	Sudhir Kumar	[5] [13] [15] [16]
5	Qi Li	[10]
6	Ying-Xin Li	[13] [15] [16]
7	Bao-Hong Shen	[14]
8	Liang Sun	[5] [6] [7] [8] [11] [17] [20]
9	Lei Tang	[9]
10	Mingrui Wu	[10]
11	Jieping Ye	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20]
12	Shipeng Yu	[9] [17]
13	Lei Yuan	[15]
14	Zhi-Hua Zhou	[13] [15] [16]