| 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 | 301 | 2005 |
| 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 | 248 | 2017 |
| Lasso Screening Rules via Dual Polytope Projection J Wang, P Wonka, J Ye Journal of Machine Learning Research 16, 1063-1101, 2015 | 192 | 2015 |
| A multi-task learning formulation for survival analysis Y Li, J Wang, J Ye, CK Reddy Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 126 | 2016 |
| 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 | 124 | 2020 |
| 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 | 117 | 2012 |
| Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking N Wang, W Zhou, J Wang, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 111 | 2021 |
| 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 | 101 | 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 | 67 | 2014 |
| On explainability of graph neural networks via subgraph explorations H Yuan, H Yu, J Wang, K Li, S Ji International Conference on Machine Learning, 12241-12252, 2021 | 64 | 2021 |
| 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 | 59 | 2014 |
| Scaling SVM and Least Absolute Deviations via Exact Data Reduction J Wang, P Wonka, J Ye International Conference on Machine Learning 2014, 2014 | 54 | 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 | 50 | 2013 |
| Transfer learning for survival analysis via efficient l2, 1-norm regularized cox regression Y Li, L Wang, J Wang, J Ye, CK Reddy 2016 IEEE 16th International Conference on Data Mining (ICDM), 231-240, 2016 | 39 | 2016 |
| 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, Z Zhang, J Ye J. Mach. Learn. Res. 20, 163:1-163:42, 2019 | 31* | 2019 |
| Line graph neural networks for link prediction L Cai, J Li, J Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 23 | 2021 |
| 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 | 23 | 2011 |
| 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 |
| Duality-induced regularizer for tensor factorization based knowledge graph completion Z Zhang, J Cai, J Wang Advances in Neural Information Processing Systems 33, 21604-21615, 2020 | 20 | 2020 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeE-mail confirmado em umich.edu
