| 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 | 191 | 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 | 170 | 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 | 96 | 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 | 68 | 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, 2020 | 64 | 2020 |
| 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 | 31 | 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 | 25 | 2020 |
| 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 | 21 | 2021 |
| 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 | 18 | 2022 |
| Deep latent graph matching T Yu, R Wang, J Yan, B Li International Conference on Machine Learning, 12187-12197, 2021 | 17 | 2021 |
| 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 | 6 | 2022 |
| Deep reinforcement learning of graph matching C Liu, R Wang, Z Jiang, J Yan arXiv preprint arXiv:2012.08950, 2020 | 4 | 2020 |
| 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 | 2 | 2023 |
| 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 | 2 | 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, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization H Lu, Z Li, R Wang, Q Ren, J Yan, Z Hua, G Liu, JUN ZHOU, X Yang | 1 | 2021 |
| GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction H Geng, R Wang, F Wu, J Yan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation J Sun, HS Fang, Y Li, R Wang, M Gou, C Lu International Journal of Computer Vision, 1-17, 2023 | | 2023 |
| LinSATNet: The Positive Linear Satisfiability Neural Networks R Wang, Y Zhang, Z Guo, T Chen, X Yang, J Yan | | 2023 |
Junchi YanFIET, Shanghai Jiao Tong University (2018-), RSM of IBM Research (2011-2018)Verified email at cs.sjtu.edu.cn
