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Jun Liu 0003
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Publications
- 2016
- [c34]Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye:
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD 2016: 1955-1964 - 2014
- [c33]Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye:
Safe Screening with Variational Inequalities and Its Application to Lasso. ICML 2014: 289-297 - [c31]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. NIPS 2014: 1053-1061 - 2013
- [j18]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via multi-task learning. NeuroImage 78: 233-248 (2013) - [j17]Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye:
A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1025-1038 (2013) - [j16]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2104-2116 (2013) - [i8]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. CoRR abs/1307.4145 (2013) - [i7]Jie Wang, Jun Liu, Jieping Ye:
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods. CoRR abs/1307.4156 (2013) - [i6]Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye:
Safe Screening With Variational Inequalities and Its Applicaiton to LASSO. CoRR abs/1307.7577 (2013) - 2012
- [j14]Ji Liu, Jun Liu, Peter Wonka, Jieping Ye:
Sparse non-negative tensor factorization using columnwise coordinate descent. Pattern Recognit. 45(1): 649-656 (2012) - [j13]Jieping Ye, Jun Liu:
Sparse methods for biomedical data. SIGKDD Explor. 14(1): 4-15 (2012) - [c26]Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He:
Accelerated singular value thresholding for matrix completion. KDD 2012: 298-306 - [c24]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via fused sparse group lasso. KDD 2012: 1095-1103 - [i4]Jun Liu, Shuiwang Ji, Jieping Ye:
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization. CoRR abs/1205.2631 (2012) - 2011
- [c22]Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822 - [c21]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. NIPS 2011: 352-360 - [c20]Jun Liu, Liang Sun, Jieping Ye:
Projection onto A Nonnegative Max-Heap. NIPS 2011: 487-495 - 2010
- [c18]Jun Liu, Lei Yuan, Jieping Ye:
An efficient algorithm for a class of fused lasso problems. KDD 2010: 323-332 - [c17]Jun Liu, Jieping Ye:
Moreau-Yosida Regularization for Grouped Tree Structure Learning. NIPS 2010: 1459-1467 - [i2]Jun Liu, Jieping Ye:
Fast Overlapping Group Lasso. CoRR abs/1009.0306 (2010) - [i1]Jun Liu, Jieping Ye:
Efficient L1/Lq Norm Regularization. CoRR abs/1009.4766 (2010) - 2009
- [c14]Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye:
A convex formulation for learning shared structures from multiple tasks. ICML 2009: 137-144 - [c13]Jun Liu, Jieping Ye:
Efficient Euclidean projections in linear time. ICML 2009: 657-664 - [c12]Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149 - [c11]Jun Liu, Jianhui Chen, Jieping Ye:
Large-scale sparse logistic regression. KDD 2009: 547-556 - [c10]Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye:
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. KDD 2009: 1335-1344 - [c9]Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye:
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS 2009: 808-816 - [c8]Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye:
Efficient Recovery of Jointly Sparse Vectors. NIPS 2009: 1812-1820 - [c7]Jun Liu, Shuiwang Ji, Jieping Ye:
Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. UAI 2009: 339-348
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