Zixun Huang
Orcid: 0000-0002-0930-4276
According to our database1,
Zixun Huang
authored at least 18 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, July, 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling.
CoRR, 2024
SATR: A Structure-Affinity Attention-Based Transformer Encoder for Spine Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2023
Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks.
IEEE Trans. Affect. Comput., 2023
CoRR, 2023
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
CoRR, 2023
Robust Digital-Twin Localization via An RGBD-based Transformer Network and A Comprehensive Evaluation on a Mobile Dataset.
CoRR, 2023
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing.
IEEE Trans. Medical Imaging, 2022
2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization.
Comput. Medical Imaging Graph., 2021
DA-GAN: Learning Structured Noise Removal In Ultrasound Volume Projection Imaging For Enhanced Spine Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020