Zhongyi Han

Orcid: 0000-0003-2851-193X

According to our database¹, Zhongyi Han authored at least 48 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Visual Out-of-Distribution Detection in Open-Set Noisy Environments.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., November, 2024

SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

BIAS: Bridging Inactive and Active Samples for active source free domain adaptation.

[BibT_eX]

[DOI]

Fan Wang

Zhongyi Han

Yilong Yin

Knowl. Based Syst., 2024

Generalized Universal Domain Adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Improving Representation of High-frequency Components for Medical Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions.

[BibT_eX]

[DOI]

CoRR, 2024

Can We Treat Noisy Labels as Accurate?

[BibT_eX]

[DOI]

CoRR, 2024

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CLIP-driven Outliers Synthesis for few-shot OOD detection.

[BibT_eX]

[DOI]

CoRR, 2024

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Discriminability-Driven Channel Selection for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neighborhood-based credibility anchor learning for universal domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments.

[BibT_eX]

[DOI]

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

Abductive subconcept learning.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., February, 2023

Lunar Phase Function Oversampling Correction Method for FY3D/MERSI On-Orbit Calibration.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.

[BibT_eX]

[DOI]

CoRR, 2023

Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping.

[BibT_eX]

[DOI]

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

LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation.

[BibT_eX]

[DOI]

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

Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Transferable Parameters for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Zhongyi Han

Haoliang Sun

Yilong Yin

IEEE Trans. Image Process., 2022

Learning to rectify for robust learning with noisy labels.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Towards safe and robust weakly-supervised anomaly detection under subpopulation shift.

[BibT_eX]

[DOI]

Rundong He

Zhongyi Han

Yilong Yin

Knowl. Based Syst., 2022

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Active Source Free Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation.

[BibT_eX]

[DOI]

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

Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.

[BibT_eX]

[DOI]

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

Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unifying neural learning and symbolic reasoning for spinal medical report generation.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

DRAN: Deep recurrent adversarial network for automated pancreas segmentation.

[BibT_eX]

[DOI]

IET Image Process., 2020

Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Recursive narrative alignment for movie narrating.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2020

Towards Accurate and Robust Domain Adaptation under Noisy Environments.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.

[BibT_eX]

[DOI]

Neuroinformatics, 2018

Spine-GAN: Semantic segmentation of multiple spinal structures.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automated Pancreas Segmentation Using Recurrent Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2011

Using NOC technology to improve photoelectric encoder system for LAMOST spectroscopes.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011

Zhongyi Han

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