Zixin Hu

According to our database1, Zixin Hu authored at least 12 papers between 2020 and 2026.

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Bibliography

2026
SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?
CoRR, April, 2026

Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography.
CoRR, March, 2026

Uncovering Modality Discrepancy and Generalization Illusion for General-Purpose 3D Medical Segmentation.
CoRR, February, 2026

FSX: Message Flow Sensitivity Enhanced Structural Explainer for Graph Neural Networks.
CoRR, January, 2026

PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification.
Neural Networks, 2025

Efficient Network Automatic Relevance Determination.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device.
Comput. Biol. Medicine, January, 2024

2023
FuXi-S2S: An accurate machine learning model for global subseasonal forecasts.
CoRR, 2023

CoGANPPIS: Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction.
CoRR, 2023

2020
Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide.
Frontiers Artif. Intell., 2020


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