个人信息：
●徐国平，男，汉族
●毕业院校：华中科技大学，信息与通信工程
●E-mail: xugp@wit.edu.cn
●籍贯:浙江湖州
●学历（学位）:博士
简介：博士、讲师、硕士生导师。博士毕业于华中科技大学电子信息与通信学院信息与通信专业。宾夕法尼亚大学（2016-2018）及哈佛大学（2019）博士联合培养博士。哈佛大学（2023-2024）及得克萨斯州西南医学中心（2024-2026）博士后。主要研究方向包括生物医学图像处理、计算机视觉、深度学习，内容涉及图像分割、图像配准、目标追踪、疾病量化评估等。主持重点实验室开放课题5项，在国内外重要学术刊物及学术会议上发表有关SCI/EI/中文核心学术论文60余篇，论文引用1200余次。第一发明人授权发明专利6项。担任2024及2025年国际会议Intelligent Medicine and Image Processing (IMIP)的Technical Program委员。担任IEEE Transactions on Medical Imaging、Medical Image Analysis、IEEE Journal of Biomedical and Health Informatics、Expert Systems with Applications、Medical Physics、Physics in medicine and Biology、Biomedical Signal Processing and Control、Pattern Recognition、Knowledge-based Systems、IEEE Transactions on Multimedia、Neural Networks、IEEE Internet of Things Journal等20多个SCI专业期刊和会议（MICCAI、BIBM、IMIP）审稿人。
教学工作：自进入武汉工程大学计算机科学与工程学院任教以来，先后承担《汇编语言程序设计》、《计算机导论》、《数字通信原理》、《深度学习》、《网络安全前沿》课程讲授任务，教学评估优秀。
近年已发表部分期刊论文（一作或通讯）：
[1] Xiaming Wu, Wenbo Yue, Xinglong Wu, Qing Huang, Chang Li, Yajun Yu#, Guoping Xu#. Wavelet Attention Fusion for Semi-Supervised Ultrasound Segmentation. Biomedical Signal Processing and Control (2026).(SCI)
[2] Wenbo Yue, Xiaming Wu, Qing Huang, Xionglong Wu, Chang Li, Yajun Yu, Jun Lyu, Guoping Xu#. Wavelet-Based Frequency Replacement and Edge Enhancement for Semi-Supervised Fetal Ultrasound Image Segmentation. Journal of Ultrasound in Medicine (2026). (SCI)
[3] Guoping Xu, Christopher Kabat, You Zhang#. Depthwise-dilated convolutional adapters for medical object tracking and segmentation using the segment anything model 2[J]. Machine Learning: Science and Technology, 2025, 6(4): 045026. (SCI)
[4] Guoping Xu, Hua-Chieh Shao, You Zhang#. TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios[J]. Machine Learning: Health, 2025.
[5] Guoping Xu, Xiaxia Wang., Xinglong Wu#., Xuesong Leng., & Yongchao Xu. Development of residual learning in deep neural networks for computer vision: A survey. Engineering Applications of Artificial Intelligence 142 (2025): 109890. (SCI)
[6] Guoping Xu, Xiaoxue Qian, Hua-Chieh Shao, Jax Luo, Weiguo Lu, You Zhang. A segment anything model-guided and match-based semi-supervised segmentation framework for medical imaging. Medical Physics. (2025) (SCI)
[7] Xuesong Leng., Xiaxia Wang., Wenbo Yue., Jianxiu Jin., Guoping Xu#. Structural tensor and frequency guided semi‐supervised segmentation for medical images. Medical Physics, 51(12) (2024), 8929-8942. (SCI)
[8] Xuan Zhang, Guoping Xu#, Xinglong Wu, et al. A pixel and channel enhanced up-sampling module for biomedical image segmentation[J]. Machine Vision and Applications, 2024, 35(2): 30. (SCI)
[9] Xuan Zhang, Guoping Xu#, Xinglong Wu, Wentao Liao, Lifang Xiao, Yan Jiang, Hanshuo Xing. Fast-SegNet: fast semantic segmentation network for small objects[J]. Multimedia Tools and Applications, 2024, 83(34): 81039-81055.
[10] 王霞霞, 张炫, 吴兴隆, 黄青, 徐国平. 双阶段噪声自适应超声图像分割网络[J]. 电子测量技术, 2024, 47(10): 175-183. （中文核心）
[11] 廖文涛，徐国平#，吴兴隆，张炫，周华兵．融合域自适应网络和多尺度特征聚合的息肉分割网络[J/OL]．（2023）计算机工程与应用（中文核心）
[12] Guoping Xu, Wentao Liao, Xuan Zhang, Chang Li, Xinwei He, Xinglong Wu#. "Haar Wavelet Downsampling: A Simple but Effective Downsampling Module for Semantic Segmentation." Pattern Recognition 143 (2023): 109819. (SCI) （ESI高被引及热点论文）
[13] Guoping Xu, Xuan Zhang, Xinglong Wu#. "LGNet: Local and Global Representation Learning for Fast BioMedical Image Segmentation." Journal of Innovative Optical Health Sciences (2022). (SCI)
[14] Xinglong Wu, Yan Jiang, Hanshuo Xing, Wenbo Song, Peiyan Wu, Xin-wu Cui, Guoping Xu#. "ULS4US: universal lesion segmentation framework for 2D ultrasound images." Physics in Medicine and Biology (2023). (SCI)
[15] Peiyan Wu, Yan Jiang, Hanshuo Xing, Wenbo Song, Xinwu Cui, Xinglong Wu#, Guoping Xu#. "Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study." Physics in Medicine and Biology (2023). (SCI)
[16] Xinglong Wu, Mengying Li, Xin-wu Cui, Guoping Xu#. "Deep multimodal learning for lymph node metastasis prediction of primary thyroid cancer." Physics in Medicine & Biology 67.3 (2022): 035008. (SCI)
[17] Guoping Xu, Hanqian Cao, Jayaram K. Udupa#, Yubing Tong, Drew A. Torigian. "DiSegNet: A Deep Dilated Convolutional Encoder-Decoder Architecture for Lymph Node Segmentation on PET/CT images". Computerized Medical Imaging and Graphics, 2021, 88:101851. (SCI)
[18]Guoping Xu, Yogesh Rathi, Joan A. Camprodon, Hanqian Cao, Lipeng Ning#. "Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning." Plos one 16.7 (2021): e0254588. (SCI)
近年已发表部分会议论文（一作或通讯）：
[1] Guoping Xu#, Xinglong Wu, Wen Taoliao, et al. DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation[C]//2025 IEEE International Conference on Image Processing (ICIP). IEEE, 2025: 211-216.
[2] Wenbo Yue, Chang Li, Guoping Xu#. A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation[C]//2025 IEEE International Conference on Image Processing (ICIP). IEEE, 2025: 433-438.
[3] Xin Cheng, Yajun Yu, Xinglong Wu, Guoping Xu#. DM-UNet: A Dilated Multi-Scale and Bottleneck Attention UNet for Ultrasound Image Segmentation. (IEEE 2025 CISP-BMEI)
[4] Jiahui Xie, Chang Li, Xinglong Wu, Guoping Xu#. CAPA-Net: Cross-Attention and Position-Aware Feature Fusion for Ultrasound Image Segmentation. (IEEE 2025 CISP-BMEI)
[5] Guoping Xu, Xuan Zhang., He, X., Xinglong Wu#. Levit-Unet: Make faster encoders with transformer for medical image segmentation. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV) (2023) (pp. 42-53). Singapore: Springer Nature Singapore. (EI)
[6] Guoping Xu, et al. "MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image Segmentation." 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023.
[7] Liao, Wentao, Guoping Xu# et al. "Lesions Segmentation of Medical Ultrasound Images with Boundary Enhancement Strategy." 2022 4th International Conference on Intelligent Medicine and Image Processing. 2022. (EI)
[8] Wentao Liao, Guoping Xu#, Xinglong Wu#, et.al. (2022, December). Dual-branch body and boundary supervision network for ultrasound image segmentation. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3071-3077) (EI)
[9] Guoping Xu and Xinglong Wu#, "FAM: Fully Attention Module for Medical Image Segmentation," 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3443-3447. (EI)
[10] Zhang, Xuan, WenTao Liao, and Guoping Xu#. "Median Filter Helps Lymph Node Segmentation in Deep Learning via PET/CT." 2021 4th International Conference on Digital Medicine and Image Processing. 2021. (EI)
主持科研项目：
[1] 智能互联系统安徽省实验室，开放基金，基于关系学习的多模态医学数据融合及应用研究，PA2023IISL0095，2023-7至2025-7，主持，在研；
[2] 智能机器人湖北省重点实验室，创新基金，HBIRL202202，基于形状先验的医学图像快速语义分割，2022-12至2023-11，主持，结题；
[3] 智能机器人湖北省重点实验室，创新基金，HBIRL202007，病变淋巴结的智能检测和分割方法研究，2021-01至2021-12，主持，结题；
[4] 广东省数字孪生人重点实验室，开放基金，2022B1212010004，不同线圈经颅磁刺激下全脑电场数据集构建及电场快速预测研究，2023-6至2024-5，主持，结题；
[5]浙江大学计算机辅助设计与图形系统全国重点实验室，开放基金，3D场景下经颅磁刺激全脑电场快速预测和成像研究，A2322，2023-1至2024-12，1.25万元，主持，结题；
授权发明专利（第一发明人）：
[1] 融合局部与全局特征的快速语义分割网络和语义分割方法，专利号：ZL202310086646.5
[2] 一种基于主体和边界共同监督的超声图像语义分割方法，专利号：ZL 2023 1 0086638.0
[3] 一种基于注意力机制的新型多粒度特征融合方法，专利号：ZL 2022 1 1435628.5
[4] 一种高效的信息保真下采样方法和下采样模块，专利号：ZL 2023 1 0086379.1
[5] 一种针对小尺度目标的数据增强方法，专利号：ZL 2022 1 0054084.1
[6] 基于编解码结构的经颅磁刺激电场快速成像方法和模型，专利号：ZL 2022 1 0055122.5
欢迎对研究方向感兴趣的老师以及同学们与我联系探讨，联系方式：xugp@wit.edu.cn
