| 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 | 1022 | 2021 |
| 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 | 649 | 2021 |
| 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 | 575 | 2020 |
| 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 | 369 | 2017 |
| 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 | 354 | 2021 |
| Epidemic spread in weighted scale-free networks G Yan, T Zhou, J Wang, ZQ Fu, BH Wang Chinese Physics Letters 22, 510, 2005 | 316 | 2005 |
| Lasso Screening Rules via Dual Polytope Projection J Wang, P Wonka, J Ye Journal of Machine Learning Research 16, 1063-1101, 2015 | 262 | 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 | 201 | 2016 |
| 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 | 187 | 2021 |
| 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 | 184 | 2021 |
| 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 | 142 | 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 | 122 | 2009 |
| 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 | 113 | 2022 |
| 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 | 92 | 2014 |
| Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Z Wang, X Li, J Wang, Y Kuang, M Yuan, J Zeng, Y Zhang, F Wu The Eleventh International Conference on Learning Representations ICLR 2023, 2023 | 88 | 2023 |
| 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 | 82 | 2014 |
| 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 | 80 | 2020 |
| 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 | 79 | 2016 |
| Scaling SVM and Least Absolute Deviations via Exact Data Reduction J Wang, P Wonka, J Ye International Conference on Machine Learning 2014, 2014 | 76 | 2014 |
| Learning to optimize industry-scale dynamic pickup and delivery problems X Li, W Luo, M Yuan, J Wang, J Lu, J Wang, J Lü, J Zeng 2021 IEEE 37th international conference on data engineering (ICDE), 2511-2522, 2021 | 72 | 2021 |
Feng Wu 吴枫University of Science and Technology of ChinaVerified email at ustc.edu.cn
