フォロー
Runzhong Wang
Runzhong Wang
Postdoc, MIT
確認したメール アドレス: mit.edu - ホームページ
タイトル
引用先
引用先
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
2432019
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
2132019
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
1302021
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
932019
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
782020
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
412022
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
372021
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
352020
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
312021
Deep latent graph matching
T Yu, R Wang, J Yan, B Li
International Conference on Machine Learning, 12187-12197, 2021
202021
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
142024
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
132022
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
122022
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
112022
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
72023
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
62023
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
62020
Deep reinforcement learning of graph matching
C Liu, R Wang, Z Jiang, J Yan
arXiv preprint arXiv:2012.08950, 2020
52020
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
42023
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
32023
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