吴永飞

学历：博士研究生

研究领域或方向：计算机视觉、人工智能

邮箱：wuyongfei@tyut.edu.cn

职称：副教授

个人简介
主要课程
主要成果

吴永飞，副教授，博士生导师，理学博士，澳门大学濠江博士后，任职于太原理工大学人工智能学院，智能信息处理与优化控制实验室负责人。兼任中国图象图形学会视觉大数据专委会委员；医学图像计算青年研讨会委员；中国工业与应用数学学会数学与医学交叉学科专业委员会委员；中国计算机学会数字医学分会执行委员；中国工业与应用数学学会大数据与人工智能专业委员会委员。
主要从事计算机视觉，人工智能，机器学习、深度学习，智能医学图像处理，视觉语言大模型的教学与科研工作。先后主持和承担国家级、省部级项目和企业横向课题10余项。在国内学术期刊和会议上发表论文80余篇，其中以第一作者或通讯作者发表SCI论文30余篇，包括CVPR、MedIA、IEEE JBHI、IEEE JSTARS、IEEE TIM、ESWA、EAAI、MICCAI、BIBM等顶刊顶会。申请国家发明专利8项，授权6项，转化2项。
欢迎本科为计算机科学与技术、数据科学与技术、人工智能、智能医学工程、应用数学、统计学、信息与计算数学、软件工程等专业，且具有较好数学功底与较强编程能力（Linux、C++、OpenCV、Python）的同学报考。
本科生课程：
《计算机图形学》，《计算数学》，《Python程序设计基础》，《计算机视觉与智能医学图像处理》，《数据科学导论》
研究生课程：
《高级机器学习实践》，《智能图像处理》
承担项目
[1]知识驱动的多染色病理图像协同分析及慢性肾病智能诊断，国家自然科学基金，主持
[2]基于超高分辩WSIs的肾病智能辅助诊断研究，山西省基础研究计划面上项目，主持
[3]基于多特征融合和多尺度分解的变分自然图像分割方法研究，国家自然科学基金，主持
[4]嵌入视觉显著性结构特征的变分图像分割方法研究，山西省青年科技研究基金项目，主持
[5]基于变分水平集的红外小目标分割，山西省高等学校科技创新项目，主持
[6]城市智能交通系统，山西省重点研发计划，参与
[7]非凸非光滑高阶变分正则和非局部变分正则图像复原研究，国家自然科学基金，参与
[8]基于变分PDE的显著特征提取及其在图像检索中的研究，国家自然科学基金，参与

学术论文
在国内外期刊会议发表学术论文90+，其中SCI二区以上30+，包括CVPR、MedIA、IEEE JBHI、IEEE JSTARS、IEEE TIM、ESWA、EAAI、MICCAI、BIBM等顶刊顶会。

代表性期刊文章
[1]Guangze Shi, Ying Wang, Yongfei Wu*, Xueyu Liu*, Jia Shen, Hao Meng, Yexin Lai, Weixia Han, Yan Hu, Mingqiang Wei. AI-Driven Quantitative Analysis of Pathological Images for Membranous Nephropathy Across Macro and Micro Modalities. IEEE journal of biomedical and health informatics, 1-12, Accept. (Top期刊, 中科院2区)
[2]Le Han, Jianan Zhang, Yan Hu, Xue Liu*, Guanghui Yue, Mingqiang Wei, Yongfei Wu*. Multi-task cyclical consistency learning based medical image segmentation. Engineering Applications of Artificial Intelligence, 2025, 160, 111863. (Top期刊, 中科院1区)
[3]Zihao Mi, Jianan Zhang, Xueyu Liu, Guanghui Yue, Junhong Yue, Mingqiang Wei, Yidi Li, Yongfei Wu*. Multi-instance curriculum learning for histopathology image classification with bias reduction. Medical Image Analysis, 2025, 105, 103647. (Top期刊, 中科院1区)
[4]Yexin Lai, Xueyu Liu, Xinyi Liang, Chenyang Rong, Yongfei Wu*, Wen Zheng. Deep Reinforcement Learning Driven Weakly Supervised Lesion Segmentation in Lung CT Sequence Images, IEEE Transactions on Instrumentation and Measurement, 2025, 74, 1-10. (Top期刊, 中科院2区)
[5]Hangbei Cheng , Xueyu Liu, Jun Zhang, Xiaorong Dong, Xuetao Ma, Yansong Zhang, Hao Meng, Xing Chen, Guanghui Yue, Yidi Li, Yongfei Wu*. GLMKD: Joint Global and Local Mutual Knowledge Distillation for Weakly Supervised Lesion Segmentation in Histopathology Images, Expert Systems with Applications, 2025, 279,127425. (Top期刊, 中科院1区)
[6]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, 2025, 102, 103550. (Top期刊，中科院1区)
[7]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, 2025, 29 (6), 3906-3917. (Top期刊, 中科院2区)
[8]Jianan Zhang, Fang Hao, Xueyu Liu, Shupei Yao, Yongfei Wu, Ming Li, Wen Zheng. Multi-scale multi-instance contrastive learning for whole slide image classification. Engineering Applications of Artificial Intelligence, 2024, 138, 109300. (Top期刊，中科院1区)
[9]Yexin Lai, Xueyu Liu, Linning E, Yujing Cheng, Shuyan Liu, Yongfei Wu*, Wen Zheng. Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease. Expert Systems with Applications, 2024, 253, 124270. (Top期刊, 中科院1区)
[10]Miao Che, Zongfei Wu, Jiahao Zhang, Xilin Liu, Shuai Zhang, Yifei Liu, Shu Feng, Yongfei Wu*. MpMsCFMA-Net: Multi-path multi-scale context feature mixup and aggregation network for medical image segmentation. Engineering Applications of Artificial Intelligence, 2024, 133, 108292. (Top期刊，中科院1区)
[11]Jianan Zhang, Yongfei Wu*, Fang Hao, Xueyu Liu, Ming Li, Daoxiang Zhou, Wen Zheng, Double similarities weighted multi-instance learning kernel and its application. Expert Systems with Applications, 2024, 238, 121900. (Top期刊，中科院1区)
[12]Ruili Wang, Xueyu Liu, Fang Hao, Xing Chen, Xinyu Li, Chen Wang, Dan Niu, Ming Li, Yongfei Wu*. Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network. Engineering Applications of Artificial Intelligence, 2023, 117, 105637. (Top期刊，中科院1区)

代表性会议文章
[13]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, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, Tennessee, 2025, 4332-4342. (CCF A会议)
[14]Zihao Mi, Xueyu Liu, Jianan Zhang, Guangze Shi, Yidi Li, and Yongfei Wu*. Multi-instance Curriculum Learning for Histopathology Image Classifications with Hard Negative Mining and Positive Augmentation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. 2311-2316. (CCF B会议)
Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu*, Ming Li, Weixia Han, and 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. 276-285. (CCF B会议)