Shuiwang Ji
BDA 224BB, BY 584
Department of Computer Science and Engineering
Center for Evolutionary Functional Genomics, The Biodesign Institute
Arizona State University
Tempe, AZ 85287
U.S.A.
| General Information |
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Shuiwang Ji BDA 224BB, BY 584 Department of Computer Science and Engineering Center for Evolutionary Functional Genomics, The Biodesign Institute Arizona State University Tempe, AZ 85287 U.S.A. |
Shuiwang Ji is a Ph.D. candidate in the Department of Computer Science and Engineering, Arizona State University, advised by Prof. Jieping Ye. He also works closely with Prof. Sudhir Kumar in the Center for Evolutionary Functional Genomics of The Biodesign Institute at ASU. His research interests are machine learning, data mining, and computational biology.
| Publications |
| Refereed Journal Papers |
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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, 2009, 10:119 Bibtex | Abstract | ps.gz | PDF | URL |
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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 Bibtex | Abstract | ps.gz | PDF | URL |
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Liang Sun,
Shuiwang Ji, and Jieping Ye Adaptive diffusion kernel learning from biological networks for protein function prediction BMC Bioinformatics 2008, 9:162 Bibtex | Abstract | ps.gz | PDF | URL |
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Jieping Ye, Shuiwang Ji, and Jianhui
Chen Multi-class Discriminant Kernel Learning via Convex Programming Journal of Machine Learning Research, 9(Apr):719--758, 2008 Bibtex | Abstract | ps.gz | PDF | URL | Software |
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| Shuiwang Ji and Jieping
Ye Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 10, pp. 1311--1321, Oct., 2008 Bibtex | Abstract | ps.gz | PDF | URL |
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| Shuiwang Ji and
Jieping Ye Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection IEEE Transactions on Neural Networks, Vol. 19, No. 10, pp. 1768-1782, 2008. Bibtex | Abstract | ps.gz | PDF |
| Refereed Conference Papers |
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Jun Liu, Shuiwang Ji, and Jieping
Ye Multi-task Feature Learning via Efficient L2,1-Norm Minimization The Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montreal, Canada Bibtex | Abstract | ps.gz | PDF | Software |
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Shuiwang Ji and Jieping Ye An Accelerated Gradient Method for Trace Norm Minimization The Twenty-Sixth International Conference on Machine Learning (ICML 2009), Montreal, Canada Bibtex | Abstract | ps.gz | PDF | Software |
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Liang Sun, Shuiwang Ji, and Jieping Ye A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning The Twenty-Sixth International Conference on Machine Learning (ICML 2009), Montreal, Canada Bibtex | Abstract | ps.gz | PDF | Software |
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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 The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2009), Paris, France Bibtex | Abstract | ps.gz | PDF | Software |
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Baohong Shen, Shuiwang Ji, and Jieping Ye Mining Discrete Patterns via Binary Matrix Factorization The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2009), Paris, France Bibtex | Abstract | ps.gz | PDF | Software |
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Shuiwang Ji and Jieping Ye Linear Dimensionality Reduction for Multi-label Classification The Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Ying-Xin Li, Shuiwang Ji, Sudhir
Kumar,
Jieping Ye,
and
Zhi-Hua Zhou Drosophila Gene Expression Pattern Annotation through Multi-instance Multi-label Learning The Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Liang Sun, Shuiwang Ji, Shipeng Yu, and Jieping Ye On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares The Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Shuiwang Ji, Liang Sun, Rong Jin, and
Jieping Ye Multi-label Multiple Kernel Learning The Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, B.C., Canada Bibtex | Abstract | ps.gz | PDF | Software |
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Shuiwang Ji, Lei Tang, Shipeng Yu, and
Jieping Ye Extracting Shared Subspace for Multi-label Classification The Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), Las Vegas, Nevada, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Liang Sun,
Shuiwang Ji, and Jieping Ye Hypergraph Spectral Learning for Multi-label Classification The Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), Las Vegas, Nevada, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi
Li, Mingrui Wu, and Jieping Ye Learning Subspace Kernels for Classification The Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2008), Las Vegas, Nevada, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Liang Sun,
Shuiwang Ji, and Jieping Ye A Least Squares Formulation for Canonical Correlation Analysis The Twenty-Fifth International Conference on Machine Learning (ICML 2008) Bibtex | Abstract | ps.gz | PDF |
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Shuiwang Ji and Jieping Ye A Unified Framework for Generalized Linear Discriminant Analysis The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008) Bibtex | Abstract | ps.gz | PDF |
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Jieping Ye, Shuiwang Ji, and Jianhui
Chen Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming The Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2007), 854-863, San Jose, California, USA Bibtex | Abstract | ps.gz | PDF | Software |
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Jieping Ye, Jianhui Chen, and Shuiwang Ji Discriminant Kernel and Regularization Parameter Learning via Semidefinite Programming The Twenty-Fourth International Conference on Machine Learning (ICML 2007), 1095-1102, Corvalis, Oregon, USA Bibtex | Abstract | ps.gz | PDF | Software |
| Refereed Book Chapters |
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Jieping Ye
and Shuiwang Ji Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments Biometrics: Theory, Methods, and Applications, N. Boulgouris, K. N. Plataniotis, and E. Micheli-Tzanakou, Eds., IEEE/Wiley Press. Bibtex | Abstract | ps.gz | PDF |
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| Manuscripts Under Review |
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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, June 2009 Bibtex | Abstract | ps.gz | PDF |
