Zongbo Han

Orcid: 0000-0001-8272-726X

According to our database1, Zongbo Han authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Autoencoder in Autoencoder Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Confidence-aware multi-modality learning for eye disease screening.
Medical Image Anal., 2024

A principled framework for explainable multimodal disentanglement.
Inf. Sci., 2024

Multimodal Fusion on Low-quality Data: A Comprehensive Survey.
CoRR, 2024

Hallucination of Multimodal Large Language Models: A Survey.
CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.
CoRR, 2024

Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.
CoRR, 2024

2023
Trusted Multi-View Classification With Dynamic Evidential Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
CoRR, 2023

Semantic Equivariant Mixup.
CoRR, 2023

Reweighted Mixup for Subpopulation Shift.
CoRR, 2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Partial Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning with Noisy Labels over Imbalanced Subpopulations.
CoRR, 2022

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trustworthy Long-Tailed Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trusted Multi-View Classification.
Proceedings of the 9th International Conference on Learning Representations, 2021

Uncertainty-Aware Multi-View Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
CPM-Nets: Cross Partial Multi-View Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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