Shuiwang Ji

	2012
30		Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou: Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 98-112 (2012)
29		Jie Gui, Zhenan Sun, Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Shuiwang Ji: Discriminant sparse neighborhood preserving embedding for face recognition. Pattern Recognition 45(8): 2884-2893 (2012)
	2011
28		Shuiwang Ji: Computational network analysis of the anatomical and genetic organizations in the mouse brain. Bioinformatics 27(23): 3293-3299 (2011)
27		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: FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis. Bioinformatics 27(23): 3319-3320 (2011)
26		Liang Sun, Shuiwang Ji, Jieping Ye: Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 194-200 (2011)
	2010
25		Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu: 3D Convolutional Neural Networks for Human Action Recognition. ICML 2010: 495-502
24		Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye: Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. SIAM Journal on Optimization 20(6): 3465-3489 (2010)
23		Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: A shared-subspace learning framework for multi-label classification. TKDD 4(2): (2010)
	2009
22		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for a class of generalized eigenvalue problems in machine learning. ICML 2009: 123
21		Shuiwang Ji, Jieping Ye: An accelerated gradient method for trace norm minimization. ICML 2009: 58
20		Shuiwang Ji, Jieping Ye: Linear Dimensionality Reduction for Multi-label Classification. IJCAI 2009: 1077-1082
19		Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye: On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI 2009: 1230-1235
18		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
17		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
16		Bao-Hong Shen, Shuiwang Ji, Jieping Ye: Mining discrete patterns via binary matrix factorization. KDD 2009: 757-766
15		Jun Liu, Shuiwang Ji, Jieping Ye: Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. UAI 2009: 339-348
14		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
13		Shuiwang Ji, Jieping Ye: A unified framework for generalized Linear Discriminant Analysis. CVPR 2008
12		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for canonical correlation analysis. ICML 2008: 1024-1031
11		Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye: Learning subspace kernels for classification. KDD 2008: 106-114
10		Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: Extracting shared subspace for multi-label classification. KDD 2008: 381-389
9		Liang Sun, Shuiwang Ji, Jieping Ye: Hypergraph spectral learning for multi-label classification. KDD 2008: 668-676
8		Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784
7		Liang Sun, Shuiwang Ji, Jieping Ye: Adaptive diffusion kernel learning from biological networks for protein function prediction. BMC Bioinformatics 9: (2008)
6		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)
5		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)
4		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)
3		Jieping Ye, Shuiwang Ji, Jianhui Chen: Multi-class Discriminant Kernel Learning via Convex Programming. Journal of Machine Learning Research 9: 719-758 (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	Thomas Brody	[27]
2	Christopher Busick	[27]
3	Betul Ceran	[11]
4	Jianhui Chen	[1] [2] [3] [11]
5	Kailah T. Davis	[27]
6	Bernard Van Emden	[27]
7	Kristyn Gerold	[27]
8	Jie Gui	[29]
9	Rong-Xiang Hu	[29]
10	Wei Jia	[29]
11	Rong Jin	[6] [8]
12	Timothy L. Karr	[27]
13	Charlotte Konikoff	[27]
14	Sudhir Kumar	[6] [14] [17] [18] [27] [30]
15	Ying-Ke Lei	[29]
16	Qi Li	[11]
17	Ying-Xin Li	[14] [17] [18] [30]
18	Jun Liu	[15]
19	Michael McCutchan	[27]
20	Stuart J. Newfeld	[27]
21	Sethuraman Panchanathan	[27]
22	Ting Kei Pong	[24]
23	Hector Ramos	[27]
24	Bao-Hong Shen	[16]
25	Liang Sun	[6] [7] [8] [9] [12] [19] [22] [26]
26	Zhenan Sun	[29]
27	Lei Tang	[10] [23]
28	Paul Tseng	[24]
29	Lin-Wei Wu	[27]
30	Mingrui Wu	[11]
31	Wei Xu	[25]
32	Ming Yang	[25]
33	Jieping Ye	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [26] [27] [30]
34	Kai Yu	[25]
35	Shipeng Yu	[10] [19] [23]
36	Lei Yuan	[17]
37	Zhi-Hua Zhou	[14] [17] [18] [30]

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