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| 25. | Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye: A Shared-subspace Learning Framework for Multi-label Classification, ACM Transactions on Knowledge Discovery from Data, ():, 2009, \cite{Ji:TKDD09}. | 0KB | DjVu |
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| 24. | Ting Kei Pong, Paul Tseng, Shuiwang Ji and Jieping Ye: Trace Norm Regularization: Reformulations, Algorithms, and Multi-task Learning, Submitted to SIAM Journal on Optimization, ():, 2009, \cite{Pong:09}. | 231KB | DjVu |
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| 23. | Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar and Jieping Ye: A Bag-of-Words Approach for Drosophila Gene Expression Pattern Annotation, BMC Bioinformatics, 10(1):119, 2009, \cite{Ji:BMC09}. | 1727KB | DjVu |
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| 22. | Jun Liu, Shuiwang Ji and Jieping Ye: Multi-task Feature Learning via Efficient $L_2,1$-Norm Minimization, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI 2009), , 2009, \cite{Liu:UAI09}. | 164KB | DjVu |
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| 21. | Shuiwang Ji and Jieping Ye: An Accelerated Gradient Method for Trace Norm Minimization, Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML 2009), , 2009, \cite{Ji:ICML09}. | 115KB | DjVu |
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| 20. | Liang Sun, Shuiwang Ji and Jieping Ye: A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning, Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML 2009), , 2009, \cite{Sun:ICML09}. | 131KB | DjVu |
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| 19. | Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar and Jieping Ye: Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions, Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009), 407-416, 2009, \cite{Ji:KDD09}. | 229KB | DjVu |
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| 18. | Bao-Hong Shen, Shuiwang Ji and Jieping Ye: Mining Discrete Patterns via Binary Matrix Factorization, Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009), 757-766, 2009, \cite{Shen:KDD09}. | 221KB | DjVu |
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| 17. | Shuiwang Ji and Jieping Ye: Linear Dimensionality Reduction for Multi-label Classification, Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), , 2009, \cite{Ji:IJCAI09}. | 95KB | DjVu |
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| 16. | Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye and Zhi-Hua Zhou: Drosophila Gene Expression Pattern Annotation through Multi-instance Multi-label Learning, Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), , 2009, \cite{Li:IJCAI09}. | 163KB | DjVu |
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| 15. | Liang Sun, Shuiwang Ji and Jieping Ye: On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares, Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), , 2009, \cite{Sun:IJCAI09}. | 91KB | DjVu |
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| 14. | Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar and Jieping Ye: Automated Annotation of Drosophila Gene Expression Patterns Using a Controlled Vocabulary, Bioinformatics, 24(17):1881-1888, 2008, \cite{Ji:bioinf08}. | 184KB | DjVu |
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| 13. | Liang Sun, Shuiwang Ji and Jieping Ye: Adaptive Diffusion Kernel Learning from Biological Networks for Protein Function Prediction, BMC Bioinformatics, 9:162, 2008, \cite{Sun:BMC08}. | กก | กก |
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| 12. | Jieping Ye, Shuiwang Ji and Jianhui Chen: Multi-class Discriminant Kernel Learning via Convex Programming, Journal of Machine Learning Research, 9:719-758, 2008, \cite{Ye:JMLR08}. | 524KB | DjVu |
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| 11. | Shuiwang Ji and Jieping Ye: Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study, IEEE Transactions on Knowledge and Data Engineering, 20(10):1311-1321, 2008, \cite{Ji:TKDE08}. | 889KB | DjVu |
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| 10. | Shuiwang Ji and Jieping Ye: Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection, IEEE Transactions on Neural Networks, 19(10):1768-1782, 2008, \cite{Ji:TNN08}. | 1177KB | DjVu |
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| 9. | Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye: Multi-label Multiple Kernel Learning, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), 777--784, 2008, \cite{Ji:NIPS08}. | 95KB | DjVu |
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| 8. | Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye: Extracting Shared Subspace for Multi-label Classification, Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), 381-389, 2008, \cite{Ji:KDD08}. | 175KB | DjVu |
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| 7. | Liang Sun, Shuiwang Ji and Jieping Ye: Hypergraph Spectral Learning for Multi-label Classification, Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), 668--676, 2008, \cite{Sun:KDD08}. | 173KB | DjVu |
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| 6. | Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu and Jieping Ye: Learning Subspace Kernels for Classification, Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), 106--114, 2008, \cite{Chen:KDD08}. | 161KB | DjVu |
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| 5. | Liang Sun, Shuiwang Ji and Jieping Ye: A Least Squares Formulation for Canonical Correlation Analysis, Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML 2008), 1024-1031, 2008, \cite{Sun:ICML08}. | 128KB | DjVu |
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| 4. | Shuiwang Ji and Jieping Ye: A Unified Framework for Generalized Linear Discriminant Analysis, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), , 2008, \cite{Ji:CVPR08}. | 128KB | DjVu |
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| 3. | Jieping Ye, Shuiwang Ji and Jianhui Chen: Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), 854-863, 2007, \cite{Ye:KDD07}. | 165KB | DjVu |
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| 2. | Jieping Ye, Jianhui Chen and Shuiwang Ji: Discriminant Kernel and Regularization Parameter Learning via Semidefinite Programming, Proceedings of the 24th International Conference on Machine Learning (ICML 2007), 1095-1102, 2007, \cite{Ye:ICML07}. | 122KB | DjVu |
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| 1. | Jieping Ye and Shuiwang Ji: Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments, in N. Boulgouris and K. N. Plataniotis and E. Micheli-Tzanakou (Eds), Biometrics: Theory, Methods, and Applications, , Wiley-IEEE Press, New York, 2010, \cite{YeJi:book2010}. | 190KB | DjVu |
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