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Jie Wang,
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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
6432021
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
3862020
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
3452021
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
3252017
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
3052005
Lasso Screening Rules via Dual Polytope Projection
J Wang, P Wonka, J Ye
Journal of Machine Learning Research 16, 1063-1101, 2015
2432015
Line graph neural networks for link prediction
L Cai, J Li, J Wang, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5103-5113, 2021
1892021
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
1762016
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
1372012
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
1132009
ConE: Cone embeddings for multi-hop reasoning over knowledge graphs
Z Zhang, J Wang, J Chen, S Ji, F Wu
Advances in Neural Information Processing Systems 34, 19172-19183, 2021
1102021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
J Chen, H He, F Wu, J Wang
The Thirty-fifth AAAI Conference on Artificial Intelligence, 2021
1012021
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
832014
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
792014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
J Wang, P Wonka, J Ye
International Conference on Machine Learning 2014, 2014
692014
Rethinking graph convolutional networks in knowledge graph completion
Z Zhang, J Wang, J Ye, F Wu
Proceedings of the ACM Web Conference 2022, 798-807, 2022
622022
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
622016
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
602013
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
592020
Two-layer feature reduction for sparse-group lasso via decomposition of convex sets
J Wang, Z Zhang, J Ye
Journal of Machine Learning Research 20 (163), 1-42, 2019
43*2019
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