Huayi Tang

Orcid: 0009-0003-7864-8827

According to our database1, Huayi Tang authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Perfect Alignment May be Poisonous to Graph Contrastive Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

Information-Theoretic Generalization Bounds for Transductive Learning and its Applications.
CoRR, 2023

Perfect Alignment May be Poisonous to Graph Contrastive Learning.
CoRR, 2023

Can Large Language Models Empower Molecular Property Prediction?
CoRR, 2023

Safe Contrastive Clustering.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Towards Understanding Generalization of Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm.
Proceedings of the International Conference on Machine Learning, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Contrastive Multi-Modal Clustering.
CoRR, 2021

Self-supervised Discriminative Feature Learning for Multi-view Clustering.
CoRR, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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