Runzhong Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

GMTR: Graph Matching Transformers.

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CoRR, 2023

Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems.

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CoRR, 2023

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.

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[DOI]

CoRR, 2023

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction.

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LinSATNet: The Positive Linear Satisfiability Neural Networks.

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Proceedings of the International Conference on Machine Learning, 2023

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Learning of Partial Graph Matching via Differentiable Top-K.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization.

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[DOI]

CoRR, 2022

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Latent Graph Matching.

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Proceedings of the 38th International Conference on Machine Learning, 2021

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.

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[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Reinforcement Learning of Graph Matching.

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[DOI]

CoRR, 2020

Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning deep graph matching with channel-independent embedding and Hungarian attention.

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[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning Combinatorial Embedding Networks for Deep Graph Matching.

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