主要论文：
[1] Jinlong Xu, Yun Ge*, Yan Zeng, Huyang Liu. Semantic consistency interaction with calibration loss for remote sensing image-text retrieval[J]. IEEE Transactions on Geoscience and Remote Sensing, 2026, 64: 5601517.(SCI)
[2] Yan Zeng, Yun Ge*, Jinlong Xu, Yuanyuan Shen. CLIP-Enhanced contrastive clustering for remote sensing image retrieval[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026. (SCI)
[3] 葛芸, 陈金梁, 温宁, 岑钰波, 王安妮, 王婷. 基于空间-通道重构的轻量化遥感图像目标检测[J]. 遥感学报, 2026. （EI期刊）
[4] 葛芸, 吴梦奇, 余美根, 王婷. 动态阈值和掩码增强的半监督遥感建筑物检测[J]. 激光与光电子学进展, 2026, 63(08): 0828004 （EI期刊）
[5] Qiyang Liu, Yun Ge*, Sijiang Wang, Ting Wang, Jinlong Xu. Dynamic manifold-based sample selection in contrastive learning for remote sensing image retrieval[J]. Visual Computer, 2025, 41:4111-4127.(SCI)
[6] Sijia Wang, Yun Ge*, Qiyang Liu, Yan Zeng. Automatic weight allocation: optimizing remote sensing image retrieval from contrastive learning perspective[J]. Multimedia Systems, 2025, 31:243.(SCI)
[7] Ning Wen（研究生第一作者）, Yun Ge*, Xiaoyu Yang, Meigen Yu, Ting Wang. Adaptive circular receptive field for remote sensing image target detection[J]. IEEE ACCESS, 2025: 30155-30166. （SCI期刊）
[8] 彭浩康（研究生第一作者），葛芸*，杨小雨，胡昌泉．基于Deformable Transformer和自适应检测头的遥感图像目标检测[J]．激光与光电子学进展，2024, 61(12): 1228006．（CSCD 期刊）
[9] Yun Ge, Qiyang Liu, Gang Wu, Famao Ye. Score-ranking smooth average precision loss for remote sensing image retrieval[J]. Journal of Spatial Science, 2024, 69(3): 801-820. （SCI期刊）
[10] Ting Wang, Zhuyi Gong, Anqi Tang, Qian Zhang, Yun Ge*. Enhanced hybrid U-Net framework for sophisticated building automation extraction utilizing decay matrix. Buildings. 2024; 14(11): 3353. （SCI期刊）
[11] 江文聪（研究生第一作者），王思佳，葛芸*．面向遥感图像检索的无监督哈希融合方法[J]．南昌航空大学学报(自然科学版)，2024, 38(1): 43-51．
[12] 邵徽虎（研究生第一作者），葛芸*，熊俊杰，余洁洁．面向遥感图像检索的自适应样本类型判别研究[J]．计算机科学与探索，2024, 18(11): 2996-3005．
[13] Yan Zeng（研究生第一作者）, Hongmei Li, Sijia Wang, Yun Ge*. Remote sensing image classification based on contrast learning with similarity fusion[C]. 2024 4th International Conference on Internet of Things and Machine Learning (IoTML 2024), 2024: 222-228.
[14] Changquan Hu（本科生第一作者）, Yun Ge*. Improved YOLOv7 algorithm for drone image object detection[C]. 2024 International Conference on Artificial Intelligence and Power Systems (AIPS), 2024: 238-242.
[15] Jiejie Yu（研究生第一作者）, Hongmei Li, Yun Ge*, Huihu Shao, Junjie Xiong. Adaptive multi-hash similarity fusion for remote sensing image retrieval[C]. 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS), 2024: 117-121.
[16] 熊俊杰（研究生第一作者），葛芸*，邵徽虎，余洁洁．遥感图像检索中上下文分段式多层感知机研究[J]．测绘科学，2023, 48(11): 169-180．（CSCD 期刊）
[17] Xiaoyu Yang（研究生第一作者）, Yun Ge*, Haokang Peng, Lu Leng. Circle representation network for specific target detection in remote sensing images[C]. 2023 Pattern Recognition and Computer Vision, 2023. (CCF C类会议)
[18] 范永强（研究生第一作者），葛芸*，胡送惠．基于注意力和多尺度特征交互的遥感图像目标检测[J]．激光杂志，2023, 44(10): 37-43.（北大核心期刊）
[19] Xiang Fu, Zemin Yuan, Tingjian Yu, Yun Ge. DA-FPN: deformable convolution and feature alignment for object detection[J]. Electronics, 2023, 12: 1354.（SCI检索）
[20] 葛芸，马琳，叶发茂，储珺．基于多尺度池化和范数注意力机制的遥感图像检索[J]．电子与信息学报，2022, 44(2): 543-551. (EI期刊).
[21] 吴刚（研究生第一作者），葛芸*，储珺，叶发茂．面向遥感图像检索的级联池化自注意力研究[J]．光电工程，2022, 49(12): 55-67.（CSCD 期刊）
[22] Songhui Hu（研究生第一作者）, Yun Ge*, Yongqiang Fan, Huijie Wu. Detect deeply only once: arbitrary-oriented object detection in remote sensing images based on improved YOLOv5[C]. 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2022: 613-618.(EI会议）
[23] Zihong Yang（研究生第一作者）, Yun Ge*, Zihan Huang, Chuang Xiong. Supervised hashing with kernel based on feature fusion for remote sensing image retrieval[C]. Proceedings of IEEE International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2021: 470-475.(EI会议)
[24] Yun Ge, Zihong Yang, Zihan Huang, Famao Ye. A multi-level feature fusion method based on pooling and similarity for HRRS image retrieval[J]. Remote Sensing Letters, 2021, 12(11): 1090-1099.（SCI期刊）.
[25] Zheng Hu, Jiaojiao Zhang, Yun Ge*. Handling vanishing gradient problem using artificial derivative[J]. IEEE Access, 2021, 9: 22371-22377. （SCI期刊）
[26] 叶发茂，孟祥龙，董萌，聂运菊，葛芸，陈晓勇．遥感图像蚁群算法和加权图像到类距离检索法，测绘学报，2021, 50(05): 612-620.（EI期刊）
[27] 葛芸，马琳，储珺．结合判别相关分析与特征融合的遥感图像检索[J]. 中国图象图形学报，2020, 25(12): 2665-2676. （CCF B类期刊）
[28] 葛芸，马琳，江顺亮，叶发茂．基于高层特征图组合及池化的高分辨率遥感图像检索[J]．电子与信息学报，2019, 41(10): 2487-2494.（EI期刊）
[29] 葛芸，江顺亮，叶发茂，陈英，唐祎玲．聚合CNN特征的遥感图像检索．国土资源遥感，2019, 31(1): 49-57.（CSCD期刊）
[30] Yun Ge, Shunliang Jiang, Qingyong Xu, Changlong Jiang, Famao Ye. Exploiting representations from pre-trained convolutional neural networks for remote sensing image retrieval[J]. Multimedia Tools and Applications, 2018, 77: 17489–17515.（SCI检索）
[31] Yun Ge, Yiling Tang, Shunliang Jiang, Lu Leng, Shaoping Xu, Famao Ye. Region-based cascade pooling of convolutional features for HRRS image retrieval[J]. Remote Sensing Letters, 2018, 9(10): 1002-1010.（SCI检索）
[32] 葛芸，江顺亮，叶发茂，许庆勇，唐祎玲．基于ImageNet预训练卷积神经网络的遥感图像检索[J]．武汉大学学报信息科学版，2018, 43(1): 67-73.（EI检索）
[33] 葛芸，江顺亮，叶发茂，许庆勇，唐祎玲．视觉词袋和Gabor纹理融合的遥感图像检索．光电工程，2016, 43(2): 76-81．（CSCD期刊）
[34] Yun Ge, Guojun Wang, Minyi Guo. Multipath routing with reliable nodes in large-scale MANETs.Proceedings of IEICE Transactions on Information and Systems, 2009, 92(9): 1675-1682. (SCI)
[35] Yun Ge, Guojun Wang, Jie Wu. Node-disjoint multipath routing with group mobility in MANETs. Proceedingsof the Sth IEEE International Conference on Networking, Architecture, and Storage NAS 2010), Jul. 15-17, 2010: 181-189. (EI检索)
[36] 江顺亮，葛芸，唐祎玲，徐少平，叶发茂．仿高阶矩的结点不变量及其组成的图不变量[J]．计算机科学，2018, 45(8): 300-305.（CSCD期刊）
[37]江顺亮，唐祎玲，葛芸，徐少平，叶发茂．基于层序遍历的顶点不变量及其图不变量[J]．图学学报，2018, 39(3): 424-431.（CSCD期刊）
专利及软著
[1] 葛芸，温宁，杨小雨.基于圆形卷积和圆形框的遥感油罐目标检测方法, CN202410110150.1, 2024.5.
[2] 葛芸，王思佳，刘启旸，曾妍.基于自动权重分配和对比哈希的通感图像检素优化方法，CN2024116715845, 2024.11.
[3] 葛芸，马琳．高空间分辨率遥感图像检索软件V1.0，2021SR1425530，原始取得,全部权利，2021-7-1.
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