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Jie Wang,
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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
3012005
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
2482017
Lasso Screening Rules via Dual Polytope Projection
J Wang, P Wonka, J Ye
Journal of Machine Learning Research 16, 1063-1101, 2015
1922015
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
1262016
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
1242020
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
1172012
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
1112021
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
1012009
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
672014
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
642021
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
592014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
J Wang, P Wonka, J Ye
International Conference on Machine Learning 2014, 2014
542014
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
502013
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
392016
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
352005
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
232021
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
232011
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
212015
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
202020
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