Zhenyu Huang

Orcid: 0000-0003-4161-9427

Affiliations:
  • Sichuan University, College of Computer Science, Chengdu, China


According to our database1, Zhenyu Huang authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Learning with Noisy Correspondence.
Int. J. Comput. Vis., September, 2024

Robust Object Re-identification with Coupled Noisy Labels.
Int. J. Comput. Vis., July, 2024

Multi-granularity Correspondence Learning from Long-term Noisy Videos.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Cross-Modal Retrieval With Partially Mismatched Pairs.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Robust Domain Adaptation for Machine Reading Comprehension.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep Spectral Representation Learning From Multi-View Data.
IEEE Trans. Image Process., 2021

Learning with Noisy Correspondence for Cross-modal Matching.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Partially View-aligned Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Multiple Marginal Fisher Analysis.
IEEE Trans. Ind. Electron., 2019

Multi-view Spectral Clustering Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

COMIC: Multi-view Clustering Without Parameter Selection.
Proceedings of the 36th International Conference on Machine Learning, 2019


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