I am a fifth-year Ph.D student in Computer Science and Engineering, School of Computing, Informatics, and Decision System Engineering at Arizona State University under the supervision of Professor Jieping Ye. I also work as a graduate research associate at the Center for Evolutionary Medicine and Informatics (CEMI) of the Biodesign Institute at ASU. My research interests broadly lie in multi-task learning, kernel learning, dimension reduction, and bioinformatics.

• Best Research Paper Award Honorable Mention from KDD 2010
• Student Travel Award from KDD 2010
• Student Scholarship from ICML 2009
• Student Travel Award from IJCAI 2009
• Student Travel Award from ICML 2007

>>> Journal Articles

1. Jianhui Chen, Ji Liu, and Jieping Ye. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. (Under Review)
2. Jianhui Chen, Lei Tang, Jun Liu, and Jieping Ye. A Convex Formulation for Learning Shared Structures from Multiple Tasks. (Under Review)
3. 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, 2(1):1-21, 2008. PDF
4. Jieping Ye, Shuiwang Ji, and Jianhui Chen. Multi-class Discriminant Kernel Learning via Convex Programming. Journal of Machine Learning Research, 9:719-758, 2008. PDF

>>> Conference Papers

1. Jianhui Chen, Jiayu Zhou, and Jieping Ye. Integrating Low-Rank and Group-Sparse Structures for Robust Multi-Task Learning. The Seventeenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2011). PDF
2. Jianhui Chen, Ji Liu, and Jieping Ye. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. The Sixteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2010). KDD Best Research Paper Award Honorable Mention. PDF
3. Jianhui Chen, Lei Tang, Jun Liu, and Jieping Ye. A Convex Formulation for Learning Shared Structures from Multiple Tasks. The Twenty-Sixth International Conference on Machine Learning (ICML 2009). PDF
4. 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). PDF
5. Liang Sun, Jun Liu, Jianhui Chen, and Jieping Ye. Efficient Recovery of Jointly Sparse Vectors. The Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS 2009). PDF
6. 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). PDF
7. 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). PDF
8. Jianhui Chen, and Jieping Ye. Training SVM with indefinite kernels. The Twenty-Fifth International Conference on Machine Learning (ICML 2008). PDF
9. 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). PDF
10. 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). PDF
11. 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). PDF
12. 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). PDF
13. 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). PDF
14. 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). PDF

>>> Poster Presentation

1. Jianhui Chen. Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications SDM 2011, SIAM Data Mining Conference - The SDM 2011 Doctoral Forum (SDM 2011). PDF