Jianhui Chen
Jianhui Chen
Microsoft
Verified email at asu.edu
TitleCited byYear
Malsar: Multi-task learning via structural regularization
J Zhou, J Chen, J Ye
Arizona State University 21, 2011
2522011
Clustered multi-task learning via alternating structure optimization
J Zhou, J Chen, J Ye
Advances in neural information processing systems, 702-710, 2011
2062011
Integrating low-rank and group-sparse structures for robust multi-task learning
J Chen, J Zhou, J Ye
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
1852011
Large-scale sparse logistic regression
J Liu, J Chen, J Ye
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
1772009
Learning incoherent sparse and low-rank patterns from multiple tasks
J Chen, J Liu, J Ye
ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 22, 2012
1422012
A convex formulation for learning shared structures from multiple tasks
J Chen, L Tang, J Liu, J Ye
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1362009
Multi-class discriminant kernel learning via convex programming
J Ye, S Ji, J Chen
Journal of Machine Learning Research 9 (Apr), 719-758, 2008
1142008
Integrating global and local structures: A least squares framework for dimensionality reduction
J Chen, J Ye, Q Li
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
792007
Ranking relevance in yahoo search
D Yin, Y Hu, J Tang, T Daly, M Zhou, H Ouyang, J Chen, C Kang, H Deng, ...
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
642016
Training SVM with indefinite kernels
J Chen, J Ye
Proceedings of the 25th international conference on Machine learning, 136-143, 2008
592008
Efficient recovery of jointly sparse vectors
L Sun, J Liu, J Chen, J Ye
Advances in Neural Information Processing Systems, 1812-1820, 2009
562009
Nonlinear adaptive distance metric learning for clustering
J Chen, Z Zhao, J Ye, H Liu
Proccedings of the 13th ACM KDD, 123-132, 2007
562007
On multiple kernel learning with multiple labels
L Tang, J Chen, J Ye
Twenty-First International Joint Conference on Artificial Intelligence, 2009
442009
A convex formulation for learning a shared predictive structure from multiple tasks
J Chen, L Tang, J Liu, J Ye
IEEE transactions on pattern analysis and machine intelligence 35 (5), 1025-1038, 2012
372012
Classification of Drosophila embryonic developmental stage range based on gene expression pattern images
J Ye, J Chen, Q Li, S Kumar
Computational Systems Bioinformatics, 293-298, 2006
322006
Discriminant kernel and regularization parameter learning via semidefinite programming
J Ye, J Chen, S Ji
Proceedings of the 24th international conference on Machine learning, 1095-1102, 2007
312007
Exploiting task-feature co-clusters in multi-task learning
L Xu, A Huang, J Chen, E Chen
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
262015
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
J Ye, S Ji, J Chen
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
252007
Link prediction across aligned networks with sparse and low rank matrix estimation
J Zhang, J Chen, S Zhi, Y Chang, SY Philip, J Han
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 971-982, 2017
222017
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA
J Ye, J Chen, R Janardan, S Kumar
ACM Transactions on Knowledge Discovery from Data (TKDD) 2 (1), 4, 2008
212008
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