Xueyu Liu <br> (刘雪宇)

Xueyu Liu
(刘雪宇)

👨‍🏫 About Me

Xueyu Liu (刘雪宇) is currently a Tenure-track Associate Professor and Master’s Supervisor at the College of Artificial Intelligence, Taiyuan University of Technology, China.

He focuses on Computer Vision and Medical Data Analytics. He has published more than ten papers in top-tier journals and prestigious conferences, including CVPR, MedIA, MICCAI, and IEEE J-BHI.

He serves as a member of IEEE, CCF, CSIG, and CAAI.

🔥 News

  • [2025.12] Qualified as a Master’s Supervisor!
  • [2025.06] Joined Taiyuan University of Technology as an Associate Professor.
  • [2025.03] One paper accepted by MedIA (IF=10.9)!
  • [2025.02] One paper accepted by CVPR 2025!

🔬 Research Interests

My research aims to bridge the gap between advanced AI models and clinical applications.

  • Computer Vision: Foundation Models, Meta-learning, Weakly Supervised Learning, Visual Prompt Learning.
  • Medical Data Analytics: Pathological Image Analysis (WSI), Multimodal Data Analysis.

🎓 Recruitment

I am actively looking for self-motivated Master students and Ph.D. students (Co-advised) to join my research group.

  • Openings:
    • Master Students: I have quota for Master’s students every year.
    • Ph.D. Students: I assist in supervising Ph.D. students (co-advised with senior professors).
  • Requirements:
    • Strong self-motivation and integrity.
    • Solid background in Mathematics and Coding (Python/PyTorch is a must).
    • Good English reading and writing skills.
  • What I Offer:
    • Hands-on Guidance: I work closely with students on idea discussion, coding, and paper writing.
    • Resources: Sufficient GPU resources (e.g., A800/4090) for large-scale experiments.
    • Publications: Aiming for top-tier venues (CVPR, MICCAI, MedIA).

📧 Contact: If you are interested, please send your CV and transcripts to my E-mail.

📝 Publications

Note: * indicates Corresponding Author.

2025

  • [MedIA] Segment Any Tissue: One-Shot Reference Guided Training-Free Automatic Point Prompting for Medical Image Segmentation
    Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Weixia Han, Min Lei, Ming Li, Xiaoshuang Zhou, Yongfei Wu*, Chen Wang, Wen Zheng.
    Medical Image Analysis, 2025.
    (SCI Q1, TOP, IF=10.9)

  • [CVPR] Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater
    Xueyu Liu, Rui Wang, Yexin Lai, Guangze Shi, Feixue Shao, Fang Hao, Jianan Zhang, Jia Shen, Yongfei Wu*, Wen Zheng.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
    (CCF-A)

  • [EAAI] Multi-Task Cyclical Consistency Learning Based Medical Image Segmentation
    Le Han, Jianan Zhang, Yan Hu, Xueyu Liu*, Guanghui Yue, Mingqiang Wei, Yongfei Wu*.
    Engineering Applications of Artificial Intelligence, 2025.
    (SCI Q1, TOP)

  • [IEEE J-BHI] AI-driven Quantitative Analysis of Pathological images for Membranous Nephropathy across Macro and Micro Modalities
    Guangze Shi, Ying Wang, Yongfei Wu*, Xueyu Liu*, Jia Shen, Hao Meng, Yexin Lai, Weixia Han, Yan Hu, Mingqiang Wei.
    IEEE Journal of Biomedical and Health Informatics, 2025.
    (SCI Q1, TOP)

  • [PRCV] Fourier Transform-Based Shape Constrained Framework for Generalizable Medical Image Segmentation
    Jia Shen, Jun Zhang, Xueyu Liu*, Yunfei Zhang, Guangze Shi, Fiexue Shao, Hangbei Cheng, Yongfei Wu*.
    Chinese Conference on Pattern Recognition and Computer Vision, 2025.
    (CCF-C)

2024

  • [MICCAI] Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
    Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu*, Ming Li, Weixia Han, Wen Zheng.
    International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024.
    (CCF-B, Top Conference in Medical AI)

  • [IEEE J-BHI] MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework
    Xueyu Liu, Rui Wang, Yexin Lai, Yongfei Wu*, Hangbei Cheng, Yuanyue Lu, Jianan Zhang, Ning Hao, Chenglong Ban, Yanru Wang, Shuqin Tang, Yuxuan Yang, Ming Li, Xiaoshuang Zhou*, Wen Zheng.
    IEEE Journal of Biomedical and Health Informatics, 2024.
    (SCI Q1, TOP)

Selected Prior Works

  • [CIBM] Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators
    Xueyu Liu, Yongfei Wu*, et al.
    Computers in Biology and Medicine, 2023.
    (SCI Q2)

  • [AI Comm] An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method
    Xueyu Liu, Ming Li, Yongfei Wu*, et al.
    AI Communications, 2022.
    (SCI Q4)

💻 Experience

  • 2025.06 - Present: Associate Professor (Tenure-track) College of Artificial Intelligence, Taiyuan University of Technology
  • 2024.09 - 2025.06: Ph.D. Candidate Taiyuan University of Technology (Computer Science and Technology)
  • 2018.09 - 2024.06: M.Eng. Taiyuan University of Technology (Software Engineering)
  • 2014.09 - 2018.06: B.Eng. Taiyuan University of Technology (Software Engineering)

🎖 Academic Service

  • Editorial Board Member: Youth Editorial Board, The Innovation Informatics.
  • Committee Member: Executive Committee, Digital Medicine Branch, China Computer Federation (CCF).
  • Conference & Journal Reviewer:
    • CVPR, AAAI, ICML, ECCV
    • IEEE Journal of Biomedical and Health Informatics (J-BHI)