智能信息处理与优化控制团队

团队负责人：吴永飞（副教授、博导）

团队成员：韩晓红（教授、硕导）、周稻祥（副教授、硕导）、岳俊宏（副教授、硕导）、刘雪宇（副教授、硕导）、薛晓娟（讲师、硕导）、徐震寰（讲师）、张嘉楠（讲师）、王瑞（讲师）

研究方向：

(1) 智能医学计算与智慧医疗

(2) 智能生物信息识别

(3) 智能优化与控制

(4) 智能图像与信号处理

团队简介：

团队围绕通用人工智能这一核心研究领域，深度融合临床医学需求与前沿技术，形成了以智能医学计算与智慧医疗、智能生物信息识别、智能优化与控制等方向为支撑的跨学科研究体系。团队汇聚了由多学科教授、讲师及硕博研究生构成的高层次人才梯队，近年来发表高水平国内外论文200余篇，主持国家级、省部级项目20余项；在创新实践方面，团队指导学生在各类学科竞赛中表现突出，共获国家级奖项24项、省级奖项120余项。此外，团队与山西省人民医院、山大一院、山大二院、山西省眼科医院、山西省肿瘤医院、山西省白求恩医院等多家三甲医院建立了长期深度合作关系，致力于推动人工智能技术在临床场景的转化与应用。

代表性研究成果

项目：

(1) 国自然面上项目，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

(2) 国自然青年项目，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

(3) 国自然青年基金，基于元学习领域泛化的开放环境人脸反欺诈方法研究

(4) 国自然青年基金，弹性波正、反障碍物和开腔体散射问题的理论及数值研究

(5) 国自然青年基金，事件和数据驱动下图连接非线性系统分布式控制与算法研究

(6) 山西省面上项目，基于超高分辩WSIs的肾病智能辅助诊断研究

(7) 山西省面上项目，基于视觉语言大模型的人脸反欺诈方法研究

(8) 山西省面上项目，弹性薄板中障碍物弯曲波散射问题的理论与数值算法研究

(9) 山西省面上项目，基于深度学习的电磁噪声压制方法研究

(10) 山西省青年项目，嵌入视觉显著性结构特征的变分图像分割方法研究，

(11) 山西省青年项目，基于轻量深度卷积网络和多特征融合的跨领域人脸欺诈检测研究

(12) 山西省青年项目，基于AFD的海洋电磁信号重构及噪声压制方法研究

(13) 山西省青年项目，周期结构和开腔体上波散射问题的理论与数值研究

(14) 山西省青年项目，图连接非线性系统的智能控制研究

(15) 山西省高等学校科技创新项目，基于变分水平集的红外小目标分割

(16) 山西省高等学校教学改革创新项目，基于GIDPES潜能激活模式的研究型学习与多元评价机制探索

论文：

(1) Xueyu Liu, Xiaoyi Zhang, Meilin Liu, Guangze Shi, Jia Shen, Yujie Wang, Cai Zhao, Ziyuan He, Yongfei Wu*, Mingqiang Wei, Yongle Chen*. Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, 2026, 1-10. (CCF A会议)

(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, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, Tennessee, 2025, 4332-4342. (CCF A会议)

(3) Hangbei Cheng, Xiaorong Dong, Jia Shen, Guangze Shi, Xueyu Liu, Jianan Zhang*, Xuetao Ma, Mingqiang Wei, Liansheng Wang, Junxin Chen, Yongfei Wu*. FMaMIL: Synergistic spatial-frequency Mamba multi-instance learning for weakly supervised pathology lesion segmentation, Pattern Recognition, 2026, 178, 113442. (Top期刊, 中科院1区)

(4) 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)

(5) 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)

(6) 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)

(7) 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)

(8) 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)

(9) 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)

(10) 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)

(11) 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)

(12) 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)

(13) 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)

(14) 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)

(15) 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)

(16) Zihao Mi, Xueyu Liu, Jianan Zhang, Guangze Shi, Yidi Li, 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)

(17) 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)

(18) Daoxiang Zhou*, Feixue Shao, Jun Zhang, Yunfei Zhang, Shu Feng. Multi-scale orthogonal Gabor filters based ConvNets for illumination robust single sample face recognition. Engineering Applications of Artificial Intelligence, 2026, 163: 113143. (Top期刊，中科院1区)

(19) Daoxiang Zhou*, Shu Feng. M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters for face recognition. Engineering Applications of Artificial Intelligence, 2022, 113, 104936. (Top期刊，中科院1区)

(20) Yunfei Zhang, Jun Zhang, Tonglu Li, Feixue Shao, Xuetao Ma, Yongfei Wu, Shu Feng, Daoxiang Zhou*. ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation. Engineering Applications of Artificial Intelligence, 2024, 137, 109132. (Top期刊，中科院1区)

(21) Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Shu Feng, Yongfei Wu, Daoxiang Zhou*. Efficient Face Anti-Spoofing via Head-aware Transformer based Knowledge Distillation with 5MB model parameters. Applied Soft Computing, 2024, 166, 112237. (Top期刊，中科院2区)

获奖：

(1) 山西省优秀硕士论文指导教师

(2) 山西省优秀博士论文

(3) 山西省优秀硕士论文