| Learning combinatorial embedding networks for deep graph matching R Wang, J Yan, X Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 269 | 2019 |
| Instaboost: Boosting instance segmentation via probability map guided copy-pasting HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu Proceedings of the IEEE/CVF international conference on computer vision, 682-691, 2019 | 241 | 2019 |
| Neural graph matching network: Learning lawler’s quadratic assignment problem with extension to hypergraph and multiple-graph matching R Wang, J Yan, X Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5261-5279, 2021 | 158 | 2021 |
| Learning deep graph matching with channel-independent embedding and hungarian attention T Yu, R Wang, J Yan, B Li International conference on learning representations, 2019 | 108 | 2019 |
| Combinatorial learning of robust deep graph matching: an embedding based approach R Wang, J Yan, X Yang IEEE transactions on pattern analysis and machine intelligence 45 (6), 6984-7000, 2020 | 101 | 2020 |
| Deep neural network fusion via graph matching with applications to model ensemble and federated learning C Liu, C Lou, R Wang, AY Xi, L Shen, J Yan International Conference on Machine Learning, 13857-13869, 2022 | 63 | 2022 |
| A bi-level framework for learning to solve combinatorial optimization on graphs R Wang, Z Hua, G Liu, J Zhang, J Yan, F Qi, S Yang, J Zhou, X Yang Advances in neural information processing systems 34, 21453-21466, 2021 | 46 | 2021 |
| Combinatorial learning of graph edit distance via dynamic embedding R Wang, T Zhang, T Yu, J Yan, X Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| Graduated assignment for joint multi-graph matching and clustering with application to unsupervised graph matching network learning R Wang, J Yan, X Yang Advances in neural information processing systems 33, 19908-19919, 2020 | 38 | 2020 |
| T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization Y Li, J Guo, R Wang, J Yan Advances in Neural Information Processing Systems 36, 2024 | 36 | 2024 |
| Deep latent graph matching T Yu, R Wang, J Yan, B Li International Conference on Machine Learning, 12187-12197, 2021 | 22 | 2021 |
| Towards one-shot neural combinatorial solvers: Theoretical and empirical notes on the cardinality-constrained case R Wang, L Shen, Y Chen, X Yang, D Tao, J Yan The Eleventh International Conference on Learning Representations, 2022 | 19 | 2022 |
| Appearance and structure aware robust deep visual graph matching: Attack, defense and beyond Q Ren, Q Bao, R Wang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs H Lu, Z Li, R Wang, Q Ren, X Li, M Yuan, J Zeng, X Yang, J Yan The Eleventh International Conference on Learning Representations, 2022 | 16 | 2022 |
| Unsupervised learning of graph matching with mixture of modes via discrepancy minimization R Wang, J Yan, X Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10500 …, 2023 | 14 | 2023 |
| LinSATNet: The Positive Linear Satisfiability Neural Networks R Wang, Y Zhang, Z Guo, T Chen, X Yang, J Yan International Conference on Machine Learning, 36605-36625, 2023 | 13 | 2023 |
| Mhscnet: A multimodal hierarchical shot-aware convolutional network for video summarization W Xu, R Wang, X Guo, S Li, Q Ma, Y Zhao, S Guo, Z Zhu, J Yan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| Revocable deep reinforcement learning with affinity regularization for outlier-robust graph matching C Liu, Z Jiang, R Wang, J Yan, L Huang, P Lu arXiv preprint arXiv:2012.08950, 2020 | 11 | 2020 |
| Deep learning of partial graph matching via differentiable top-k R Wang, Z Guo, S Jiang, X Yang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Rethinking cross-domain sequential recommendation under open-world assumptions W Xu, Q Wu, R Wang, M Ha, Q Ma, L Chen, B Han, J Yan Proceedings of the ACM on Web Conference 2024, 3173-3184, 2024 | 9 | 2024 |
Junchi YanIAPR/IET Fellow, SJTU (2018-), IBM (2011-2018)Verifierad e-postadress på cs.sjtu.edu.cn