Xinyu Xiong
Orcid: 0000-0001-9211-3165
According to our database1,
Xinyu Xiong
authored at least 30 papers
between 2016 and 2025.
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Bibliography
2025
SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks.
CoRR, August, 2025
PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation.
CoRR, June, 2025
Free Meal: Boosting Semi-Supervised Polyp Segmentation by Harvesting Negative Samples.
IEEE Signal Process. Lett., 2025
HFS-SAM2: Segment Anything Model 2 With High-Frequency Feature Supplementation for Camouflaged Object Detection.
IEEE Signal Process. Lett., 2025
A high-reliability dual-mode M-ary differential chaos shift keying system with index modulation.
Digit. Signal Process., 2025
A novel differential chaos shift keying system based on joint time slot and code index of carrier phase modulation.
Digit. Signal Process., 2025
Locally enhanced denoising self-attention networks and decoupled position encoding for sequential recommendation.
Comput. Electr. Eng., 2025
BMANet: Boundary-guided multi-level attention network for polyp segmentation in colonoscopy images.
Biomed. Signal Process. Control., 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Signal Process. Lett., 2024
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation.
CoRR, 2024
Cross-domain sequential recommendation base on Fourier transform and contrastive variational augmentation.
Comput. Electr. Eng., 2024
MoE-Polyp: Shifting More Attention to Small Polyp Segmentation via Mixture-of-Experts.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
BA-SAM: Boundary-Aware Adaptation of Segment Anything Model for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2021
Proceedings of the CCRIS 2021: 2nd International Conference on Control, 2021
2020
Dynamic headway control for high-frequency bus line based on speed guidance and intersection signal adjustment.
Comput. Aided Civ. Infrastructure Eng., 2020
2019
Tensor Decomposition-Aided Time-Varying Channel Estimation for Millimeter Wave MIMO Systems.
IEEE Wirel. Commun. Lett., 2019
Channel Estimation for Millimeter Wave Wideband Massive MIMO Systems via Tensor Decomposition.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
2018
IEEE Access, 2018
2016
Proceedings of the Smart Computing and Communication, 2016