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Qing Xu

Ph.D. Student
University of Nottingham
scxqx1@nottingham.ac.uk

About Me

Iā€™m a final-year Ph.D. Candidate in the School of Computer Science at University of Nottingham, supervised by Prof. Xiangjian He and Prof. Rong Qu. Prior to that, I worked as a research assistant at the Chinese University of Hong Kong, supervised by Prof. Zhen Chen and Prof. Yixuan Yuan. I received the M.S. degree from The University of Hong Kong in 2023, and the B.S. degree from the University of Lincoln in 2021.

Research Interests

Currently, my research interests primarily lie in Medical Image Analysis, Image Segmentation, and the application of Foundation Models in clinical diagnosis.

News

  • Jun. 2026 Two papers have been accepted by MICCAI 2026.
  • Feb. 2026 We achieved 1st place in the ISBI 2026 Foundation Model Challenge for Ultrasound Image Analysis!
  • Jan. 2026 Three papers have been accepted by ISBI 2026.
  • Dec. 2025 One paper on Universal Ultrasound Segmentation has been accepted by TMM.
  • Dec. 2025 One paper on Versatile Medical Segmentation has been accepted by TMI.
  • Nov. 2025 One paper on Lightweight SAM has been accepted by TCSVT.
  • Jul. 2025 One paper on 3D Vessel Segmentation has been accepted by TOMM.
  • Jun. 2025 One paper has been accepted by MICCAI 2025.
  • May 2025 One paper on Nuclei SAM has been accepted by MedIA.

Publications

  1. Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation
    Qing Xu, Xiangjian He, Wenting Duan, Jiebo Luo, Zhen Chen
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2026
    Code
  2. RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception
    Yuxiang Luo*, Qing Xu*, Yuqi Ouyang, Zhen Chen
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2026
  3. SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection
    Qing Xu, Yanqian Wang, Xiangjian He, Yue Li, Yixuan Zhang, Rong Qu, Wenting Duan, Zhen Chen
    Knowledge-Based Systems, 2026
  4. UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
    Yue Li*, Qing Xu*, Yixuan Zhang, Xiangjian He, Qian Zhang, Yuan Yao, Fiseha B Tesema, Xin Chen, Ruili Wang, Zhen Chen, et al.
    IEEE Transactions on Multimedia, 2026
  5. FreqDINO: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation
    Yixuan Zhang*, Qing Xu*, Yue Li, Xiangjian He, Qian Zhang, Mainul Haque, Rong Qu, Wenting Duan, Zhen Chen
    IEEE International Symposium on Biomedical Imaging (ISBI), 2026
  6. TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation
    Yaxuan Jiao*, Qing Xu*, Yuxiang Luo, Xiangjian He, Zhen Chen, Wenting Duan
    IEEE International Symposium on Biomedical Imaging (ISBI), 2026
  7. Towards Universal Ultrasound Analysis: Parameter-Efficient Foundation Model With Task-Aware Routing for Heterogeneous Multi-Task Learning
    Yixuan Zhang*, Qing Xu*, Yue Li*, Xiangjian He, Zhen Chen.
    IEEE International Symposium on Biomedical Imaging (ISBI), 2026
  8. CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images
    Jiaxuan Li*, Qing Xu*, Xiangjian He, Ziyu Liu, Daokun Zhang, Ruili Wang, Rong Qu, Guoping Qiu
    Expert Systems with Applications, 2026
  9. OMD: Optimal Transport-guided Multimodal Disentangled Learning for Leptomeningeal Metastasis Diagnosis
    Shengjia Chen, Huihua Hu, Hongfu Zeng, Chenxin Li, Qing Xu, Longfeng Zhang, Haipeng Xu
    Information Fusion, 2026
  10. Synergistic hierarchical and graph attention networks for robust leptomeningeal metastasis detection in brain MRI
    Haipeng Xu, Jing Sun, Qian Miao, Yaping Hong, Qing Xu, Chenxin Li, Huihua Hu, Gen Lin, Yunjian Huang
    Applied Soft Computing (ASOC), 2026
  11. RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detection
    Tao Wu*, Qing Xu*, Xiangjian He, Oakleigh Weekes, James Brown, Wenting Duan
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2026
  12. Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation
    Qing Xu, Yuxiang Luo, Wenting Duan, Zhen Chen
    IEEE Transactions on Medical Imaging, 2025
    Code Project Page
  13. De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
    Qing Xu*, Jiaxuan Li*, Xiangjian He, Chenxin Li, Fiseha Berhanu Tesema, Wenting Duan, Zhen Chen, Rong Qu, Jonathan M. Garibaldi, Chang Wen Chen
    IEEE Transactions on Circuits and Systems for Video Technology, 2025
    Code
  14. MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation
    Qing Xu, Yanming Chen, Yue Li, Ziyu Liu, Zhenye Lou, Yixuan Zhang, Huizhong Zheng, Xiangjian He
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2025
    Code
  15. Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation
    Qing Xu, Wenting Duan, Zhen Chen
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2025
    Code
  16. UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images
    Zhen Chen*, Qing Xu*, Xinyu Liu, Yixuan Yuan
    Medical Image Analysis, 2025
    Code
  17. NuSegDG: Integration of heterogeneous space and gaussian kernel for domain-generalized nuclei segmentation
    Zhenye Lou*, Qing Xu*, Zekun Jiang, Xiangjian He, Chenxin Li, Zhen Chen, Yi Wang, Maggie M He, Wenting Duan
    Knowledge-Based Systems, 2025
  18. Automated microvascular invasion prediction of hepatocellular carcinoma via deep relation reasoning from dynamic contrast-enhanced ultrasound
    Yaoqin Wang, Wenting Xie, Chenxin Li, Qing Xu, Zhongshi Du, Zhaoming Zhong, Lina Tang
    Computerized Medical Imaging and Graphics, 2025
  19. HFA-UNet: Hybrid and full attention UNet for thyroid nodule segmentation
    Yue Li, Yuanhao Zou, Xiangjian He, Qing Xu, Ming Liu, Shengji Jin, Qian Zhang, Maggie M He, Jian Zhang
    Knowledge-Based Systems, 2025
  20. Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation
    Ziyu Liu, Jiaxuan Li, Xiangjian He, Qing Xu, Xin Chen, Shoujun Zhou
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
  21. DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays
    Qing Xu, Wenting Duan
    Computers in Biology and Medicine, 2024
  22. Flaws can be applause: Unleashing potential of segmenting ambiguous objects in SAM
    Chenxin Li, Yuzhi Huang, Wuyang Li, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan
    Advances in Neural Information Processing Systems (NeurIPS), 2024
  23. Med-FastSAM: Improving Transfer Efficiency of SAM to Domain-Generalised Medical Image Segmentation
    Yuxiang Luo*, Qing Xu*, Jinglei Feng, Guangwu Qian, Wenting Duan
    Advances in Neural Information Processing Systems (NeurIPS) Workshop, 2024
  24. DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation
    Qing Xu, Zhicheng Ma, Wenting Duan, et al.
    Computers in Biology and Medicine
  25. Sppnet: A single-point prompt network for nuclei image segmentation
    Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, Wenting Duan
    International Conference on Medical Image Computing and Computer Assisted Interventions (NeurIPS) Workshop, 2023
  26. An automatic nuclei image segmentation based on multi-scale split-attention U-Net
    Qing Xu, Wenting Duan
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) Workshop, 2021

Services

Journal Reviewer:

IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Multimedia (TMM), IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Engineering Applications of Artificial Intelligence (EAAI), Neurocomputing, npj Heritage Science

Conference Reviewer / PC Member:

CVPR, ECCV, ICCV, BMVC, MICCAI, ISBI

Patents & Software Copyrights

Awards

Competitions:



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