About Me

Xueyu Liu is currently a Tenure-track Associate Professor and Master’s Supervisor at the College of Artificial Intelligence, Taiyuan University of Technology, China. He has published more than ten papers in SCI-indexed journals and prestigious conferences such as CVPR and MedIA. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), the China Computer Federation (CCF), the China Society of Image and Graphics (CSIG), and the Chinese Association for Artificial Intelligence (CAAI).

Xueyu Liu’s research focuses on computer vision and medical data analytics. His interests include foundation models, meta-learning, weakly supervised learning, and few-shot learning in computer vision, as well as pathological image analysis and multimodal data analysis in medical data analytics.

📜 Research Area

• Computer Vision:

Foundation model, Meta-learning, Weakly supervised learning, Visual prompt learning

• Medical data analytics:

Pathological image analysis, Multimodal data analysis

💻 Research Experiences

• 2014.09 - 2018.06: B.ENG. in Software Engineering, Taiyuan University of Technology, China
• 2018.09 - 2024.06: M.ENG. in Software Engineering, Taiyuan University of Technology, China
• 2024.09 - 2025.06: Ph.D candidate in Computer Science and Technology, Taiyuan University of Technology, China
• 2025.06 - present: Tenure-track Associate Professor in College of Artificial Intelligence, Taiyuan University of Technology, China

📝 Publications

First/Corresponding author:

2025:

• [1] Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Weixia Han, Min Lei, Ming Li, Xiaoshuang Zhou, Yongfei Wu*, Chen Wang, Wen Zheng. Segment Any Tissue: One-Shot Reference Guided Training-Free Automatic Point Prompting for Medical Image Segmentation. Medical Image Analysis (MedIA). 2025. (SCI Q1-TOP)
• [2] Xueyu Liu, Rui Wang, Yexin Lai, Guangze Shi, Feixue Shao, Fang Hao, Jianan Zhang, Jia Shen, Yongfei Wu*, Wen Zheng. Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater. Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A)
• [3] Le Han, Jianan Zhang, Yan Hu, Xueyu Liu*, Guanghui Yue, Mingqiang Wei, Yongfei Wu*. Multi-Task Cyclical Consistency Learning Based Medical Image Segmentation, Engineering Applications of Artificial Intelligence (EAAI), 2025. (SCI Q1-TOP)
• [4] Guangze Shi, Ying Wang, Yongfei Wu*, Xueyu Liu*, Jia Shen, Hao Meng, Yexin Lai, Weixia Han, Yan Hu and Mingqiang Wei. Al-driven Quantitative Analysis of Pathological images for Membranous Nephropathy across Macro and Micro Modalities, IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2025. (SCI Q2-TOP)

2024:

• [1] Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu*, Ming Li, Weixia Han, Wen Zheng. Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. (CCF B)
• [2] 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. MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework, IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2024. (SCI Q2-TOP)

2023:

• [1] Xueyu Liu, Yongfei Wu*, Yilin Chen, Dongna Hui, Jianan Zhang, Fang Hao, Yuanyue Lu, Hangbei Cheng, Yue Zeng, Weixia Han, Chen Wang, Ming Li, Xiaoshuang Zhou*, Wen Zheng. Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. Computers in Biology and Medicine (CIBM). 2023. (SCI Q2)

2022:

• [1] Xueyu Liu, Ming Li, Yongfei Wu*, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou. An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. AI Communications, 2022. (SCI Q4)

🎖 Certifications and Awards

• China International College Students Innovation Competition, 2024, National Second Prize.
• 7th China International College Students’ “Internet+” Innovation and Entrepreneurship Competition, 2023, National Third Prize.
• 12th “Challenge Cup” China College Students Entrepreneurship Competition, 2020, National Second Prize.
• “Huawei Cup” The 17th China Post-Graduate Mathematical Contest in Modeling, 2020, National Second Prize.