| Epidemic spread in weighted scale-free networks Y Gang, Z Tao, W Jie, F Zhong-Qian, W Bing-Hong Chinese Physics Letters 22, 510, 2005 | 285 | 2005 |
| Lasso Screening Rules via Dual Polytope Projection J Wang, P Wonka, J Ye Journal of Machine Learning Research 16, 1063-1101, 2015 | 165 | 2015 |
| The simpler the better: a unified approach to predicting original taxi demands based on large-scale online platforms Y Tong, Y Chen, Z Zhou, L Chen, J Wang, Q Yang, J Ye, W Lv Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 164 | 2017 |
| Lasso Screening Rules via Dual Polytope Projection J Wang, J Zhou, P Wonka, J Ye Advances in Neural Information Processing Systems, 1070-1078, 2013 | 102 | 2013 |
| VCells: Simple and efficient superpixels using edge-weighted centroidal Voronoi tessellations J Wang, X Wang IEEE Transactions on pattern analysis and machine intelligence 34 (6), 1241-1247, 2012 | 101 | 2012 |
| An edge-weighted centroidal Voronoi tessellation model for image segmentation J Wang, L Ju, X Wang IEEE Transactions on Image Processing 18 (8), 1844-1858, 2009 | 93 | 2009 |
| Safe Screening With Variational Inequalities and Its Applicaiton to LASSO J Liu, Z Zhao, J Wang, J Ye International Conference on Machine Learning 2014, 2014 | 57 | 2014 |
| A Safe Screening Rule for Sparse Logistic Regression J Wang, J Zhou, J Liu, P Wonka, J Ye Advances in Neural Information Processing Systems, 2014 | 49 | 2014 |
| Scaling SVM and Least Absolute Deviations via Exact Data Reduction J Wang, P Wonka, J Ye International Conference on Machine Learning 2014, 2014 | 43 | 2014 |
| An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems S Yang, J Wang, W Fan, X Zhang, P Wonka, J Ye SIGKDD, 2013 | 41 | 2013 |
| Evolutionary percolation model of stock market with variable agent number J Wang, CX Yang, PL Zhou, YD Jin, T Zhou, BH Wang Physica A: Statistical Mechanics and its Applications 354, 505-517, 2005 | 35 | 2005 |
| Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets J Wang, J Ye Advances in Neural Information Processing Systems, 2014 | 25 | 2014 |
| Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection J Wang, J Ye The Twenty-ninth Annual Conference on Neural Information Processing Systems …, 2015 | 21 | 2015 |
| Image segmentation using local variation and edge-weighted centroidal Voronoi tessellations J Wang, L Ju, X Wang IEEE Transactions on Image Processing 20 (11), 3242-3256, 2011 | 21 | 2011 |
| Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction Z Zhang, J Cai, Y Zhang, J Wang The Thirty-fourth AAAI Conference on Artificial Intelligence, 2020 | 17 | 2020 |
| Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices J Wang, J Ye International Conference on Machine Learning 2015, 2015 | 14 | 2015 |
| A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models J Wang, Q Li, S Yang, D Fan, P Wonka, J Ye International Conference on Machine Learning 2014, 2014 | 12 | 2014 |
| Financial market model based on self-organized percolation C Yang, J Wang, T Zhou, J Liu, M Xu, P Zhou, B Wang Chinese Science Bulletin 50 (19), 2140-2144, 2005 | 11 | 2005 |
| An Efficient Algorithm For Weak Hierarchical Lasso Y Liu, J Wang, J Ye 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014 | 10 | 2014 |
| Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods J Wang, J Liu, J Ye arXiv preprint arXiv:1307.4156, 2013 | 10 | 2013 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
