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# jemdoc: menu{MENU}{papers.html}, showsource, analytics{UA-60586426-1}
= Jie Wang - Papers
~~~
My [http://scholar.google.com/citations?user=OugG4dUAAAAJ&hl=en/ Google Scholar].
~~~
- New Asymptotic Analysis Method for Phase Field Models in Moving Boundary Problem with Surface Tension.\n
Jie Wang and Xiaoqiang Wang.\n
Discrete and Continuous Dynamical Systems - Series B, to appear.
- Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection. {{<font color="red">Spotlight</font>}} \n
Jie Wang and Jieping Ye. \n
NIPS 2015.
- Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices. \n
Jie Wang and Jieping Ye. \n
ICML 2015.
- Detecting genetic risk factors for Alzheimer’s disease in whole genome sequence data via Lasso screening. \n
Tao Yang, Jie Wang, Qian Sun, Derrek Paul Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul Thompson, and Jieping Ye. \n
IEEE International Symposium on Biomedical Imaging, 2015.
- Fused Lasso Screening Rules via the Monotonicity of Subdifferentials. \n
Jie Wang, Wei Fan, and Jieping Ye. \n
IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear.
- [publications/EDPP_JMLR.pdf Lasso Screening Rules via Dual Polytope Projection]. (Improved version of the one accepted by NIPS 2013)\n
Jie Wang, Peter Wonka, and Jieping Ye. \n
Journal of Machine Learning Research, 16(May):1063−1101, 2015. \[[http://dpc-screening.github.io {{<font color="red">Code Download</font>}}]\]
- [http://arxiv.org/abs/1410.4210 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets]. {{<font color="red">Spotlight</font>}} \n
Jie Wang and Jieping Ye. \n
NIPS 2014. \[[http://dpc-screening.github.io {{<font color="red">Code Download</font>}}]\]
- [http://arxiv.org/abs/1307.4145 A Safe Screening Rule for Sparse Logistic Regression]. \n
Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, and Jieping Ye. \n
NIPS 2014.
- An Efficient Algorithm for Weak Hierarchical Lasso. {{<font color="red">KDD'14 best student paper award</font>}}\n
Yashu Liu, Jie Wang, and Jieping Ye. \n
SIGKDD 2014.
- [publications/svm_screening_ICML2014.pdf Scaling SVM and Least Absolute Deviations via Exact Data Reduction].\n
Jie Wang, Peter Wonka, and Jieping Ye.\n
ICML 2014.
- [publications/Isotropic_TV_ICML2014.pdf A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models]. \n
Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, and Jieping Ye. \n
ICML 2014. \[[software/FAD.zip {{<font color="red">FAD Code Download</font>}}]\]
- Safe Screening with Variational Inequalities and Its Application to Lasso. \n
Jun Liu, Zheng Zhao, Jie Wang, and Jieping Ye. \n
ICML 2014.
- [http://arxiv.org/abs/1307.4156/ Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods].\n
Jie Wang, Jun Liu, and Jieping Ye.\n
arXiv:1307.4156v1\n
- [publications/DPP.pdf Lasso Screening Rules via Dual Polytope Projection]. \n
Jie Wang, Jiayu Zhou, and Peter Wonka, Jieping Ye. \n
NIPS 2013. {{<font color="red">Spotlight</font>}}
- [publications/MTV.pdf An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems]. \n
Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, and Jieping Ye. \n
SIGKDD 2013.
- [publications/VCells.pdf VCells: Simple and Efficient Superpixels Using Edge-Weighted Centroidal Voronoi Tessellations].\n
Jie Wang, and Xiaoqiang Wang.\n
IEEE Transactions on Pattern Analysis and Machine Intelligence
- [publications/LVEWCVT.pdf Image Segmentation Using Local Variation and
Edge-Weighted Centroidal Voronoi Tessellations].\n
Jie Wang, Lili Ju, and Xiaoqiang Wang.\n
IEEE Transactions on Image Processing
- [publications/EWCVT_t.pdf Edge-Weighted Centroidal Voronoi Tessellations].\n
Jie Wang, and Xiaoqiang Wang.\n
Numerical Mathematics: Theory, Methods and Applications
- [publications/EWCVT.pdf An Edge-Weighted Centroidal Voronoi Tessellation
Model for Image Segmentation].\n
Jie Wang, Lili Ju, and Xiaoqiang Wang\n
IEEE Transactions on Image Processing
- Evolutionary percolation model of stock market with variable agent number.\n
Jie Wang, Chunxia Yang, Peiling Zhou, Yingdi Jin, Tao Zhou, and Binghong Wang.\n
Physica A
- Epidemic Spread in Weighted Scale-Free Networks.\n
Gang Yan, Tao Zhou, Jie Wang, Zhongqian Fu, and Binghong Wang.\n
Chinese Physics Letters