👨‍🏫 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 received his Ph.D. degree in Computer Science and Technology from Taiyuan University of Technology in 2025, where he was honored with the Shanxi Provincial Outstanding Doctoral Dissertation Award.

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, ICML, MICCAI and MedIA.

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

🔥 News

• [2026.05] One paper accepted by ICML 2026!
• [2026.03] Honored with the Shanxi Provincial Outstanding Doctoral Dissertation Award (山西省优秀博士学位论文)! 🏆
• [2026.02] One paper accepted by CVPR 2026!
• [2025.03] One paper accepted by MedIA (IF=10.9)!

🔬 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).
  • Undergraduate Interns: I welcome highly motivated undergraduate students who are interested in long-term research training and aiming for top-tier publications.
• Requirements:
  • Strong self-motivation and integrity.
  • Solid background in Mathematics and Coding (Python/PyTorch is a must).
  • Proficiency in AI-assisted programming: Candidates are expected to skillfully use AI coding tools (e.g., Claude Code, Cursor) to accelerate research implementation and improve code quality.
  • 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., RTX6000pro/5090) for large-scale experiments.
  • Publications: Aiming for top-tier venues (CCF-A, SCI-Q1).

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

📝 Publications

2026

• [ICML] PromptPilot: Game-Theoretic Multi-Agent Prompt Optimization for Segment Anything
  Guangze Shi, Yingjie Mi, Jia Shen, Feixue Shao, Jiarui Cao, Yexin Lai, Xueyu Liu* (Lead Contact), Rui Wang, Yongfei Wu*, Mingqiang Wei*.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.
  (CCF-A)

• [Review] Explainable ai in medicine: a comprehensive narrative review of methods, applications, and future directions
  Helin Wang, Guangze Shi, Xueyu Liu*, Jianan Zhang, Sheng Chen, Jiashuo Shi, Yuang Li, Guanghui Yue, Yongfei Wu*.
  Expert System, 2026.
  

• [CVPR] Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model
  Xueyu Liu, Xiaoyi Zhang, Meilin Liu, Guangze Shi, Jia Shen, Yujie Wang, Cai Zhao, Ziyuan He, Yongfei Wu*, Mingqiang Wei, Yongle Chen*.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.
  (CCF-A)

• [CVPR Findings] Instruction-Focus-Prompt: Semantics-Driven Structural Prompts for Universal SAM Segmentation
  Shuqi Xia, Guangze Shi, Jiarui Cao, Aoyuan Shi, Meilin Liu, Xiaoyi Zhang, Yujie Wang, Xueyu Liu* (Lead Contact), Cai Zhao, Ziyuan He, Yongfei Wu, Mingqiang Wei*.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings, 2026.
  

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)

• [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)

Selected Prior Works

• [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)

💻 Experience

• 2025.06 - Present: Associate Professor (Tenure-track) College of Artificial Intelligence, Taiyuan University of Technology
• 2021.09 - 2025.06: Ph.D. Taiyuan University of Technology (Computer Science and Technology)
  • Honors: Shanxi Provincial Outstanding Doctoral Dissertation (山西省优秀博士学位论文)
• 2018.09 - 2021.06: 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)