Zongbo Han

Orcid: 0000-0001-8272-726X

According to our database1, Zongbo Han authored at least 24 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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10
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Legend:

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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

DOTA: Distributional Test-Time Adaptation of Vision-Language Models.
CoRR, 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

Out-Of-Distribution Detection with Diversification (Provably).
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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