Jianhui Chen

Jianhui.Chen@asu.edu
Depart of Computer Science and Engineering
Center for Evolutionary Functional Genomics
Arizona State University
Tempe, AZ 85281

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Research Interest:

• Dimensionality reduction
• Multi-Task learning
• Kernel methods
• Gene expression image analysis

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Biography:

I am a PhD student in the Department of Computer Science and Engineering of Arizona State University, under the supervision of Professor Jieping Ye. I am also working as a student researcher in the Evolutionary Functional Genomics (EFG) Center of the Biodesign Institute at ASU.

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Publication :

• Jianhui Chen, Lei Tang, Jun Li, and Jieping Ye. A Convex Formulation for Learning Shared Structures from Multiple Tasks. The Twenty-Sixth International Conference on Machine Learning (ICML 2009).
• Jun Liu, Jianhui chen, and Jieping Ye. Large-Scale Sparse Logistic Regression. The Fifteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2009).
• Jun Liu, Jianhui Chen, Songcan Chen, and Jieping Ye. Learning the Optimal Neighborhood Kernel for Classification. The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI 2009).
• Lei Tang, Jianhui Chen, and Jieping Ye. On Multiple Kernel Learning with Multiple Labels. The Twenty-first International Joint Conference on Artificial Intelligence (IJCAI 2009).
• 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). 
• Jianhui Chen and Jieping Ye. Training SVM with indefinite kernels. The Twenty-Fifth International Conference on Machine Learning (ICML 2008). 
• Jieping Ye, Shuiwang Ji, and Jianhui Chen. Multi-class Discriminant Kernel Learning via Convex Programming. Journal of Machine Learning Research.
• Jieping Ye, Jianhui Chen, Ravi Janardan, and Sudhir Kumar. Developmental Stage Annotation of Drosophila Gene Expression Pattern Images via an Entire Solution Path for LDA. ACM Transactions on Knowledge Discovery from Data, special issue on Bioinformatics.
• 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).
• Jianhui Chen, Zheng Zhao, Jieping Ye, and Huan Liu. Nonlinear Adaptive Distance Metric Learning for Clustering. The Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2007).
• 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).
• Jianhui Chen, Jieping Ye, and Qi Li. Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007).
• Jieping Ye, Jianhui Chen, Qi Li, and Sudhir Kumar. Classification of Drosophila embryonic developmental stage range based on gene expression pattern images. Computational Systems Bioinformatics Conference (CSB 2006).

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Revised: 07/31/08.