Cuiping Shi (石 翠 萍)

Professor , Doctoral tutor
Email: shicuiping@zjhu.edu.cn

Huzhou University | 湖州师范学院
Information Engineering College | 信息工程学院


地址:浙江省湖州市吴兴区二环东路759号,31栋602
[GitHub] [ResearchGate] [Team] [学院个人主页]
论文成果 | 项目情况 | 发明专利 | 论著 | 授课情况 | 学生培养 | 学术交流

Bio

 石翠萍，女，工学博士，教授、博士生导师。2004年获东北石油大学工学学士学位，2007年获扬州大学工学硕士学位，2016年获哈尔滨工业大学工学博士学位，博士论文获哈尔滨工业大学“校第十九届优秀博士学位论文”提名，2020年在哈尔滨工程大学信息与通信工程博士后流动站出站（出站成绩为“优秀”）。省一流专业带头人，市高层次人才“领军人才”，省高层次人才，国家自然科学基金涵评专家。主要从事遥感图像分析及处理，以及机器学习与人工智能的研究工作。
近五年，主持及参加国家自然科学基金项目、国家863项目、以及其他省部级项目十余项，主持项目部分结题成果被鉴定为“国内领先水平”；在IEEE TGRS、IEEE JSTARS、NEUROCOMPUTING、REMOTE SENSING、IJRS等国内外学术期刊上共发表论文80余篇；出版学术专著1部，（该专著2021年被评为“省精品书”），参与翻译译著《Satellite Data Compression》、《Remote Sensing Digital Image Analysis: An Introduction》（Fifth Edition）共两部；申请发明专利30余项，作为第一发明人已授权发明专利14项；带领学生团队荣获“华为杯”中国智能设计竞赛获国家三等奖2项，省奖项9项；获全国高等学校计算机教育研究会“优秀指导教师”称号。



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  • 学硕：➽ 计算机科学与技术 (081200)
  • 专硕：➽ 计算机技术 (085404)



    • 论文成果

    Journals: (* denotes the Corresponding Author)

      [48] Cuiping Shi, Diling Liao*, Liguo Wang. Hybrid CNN-GCN Network for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18 (early access).

      [47] Cuiping Shi*, Mengxiang Ding, Liguo Wang. An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 4881-4894. [PDF]

      [46] Cuiping Shi*, Zhipeng Zhong , Shihang Ding, Yeqi Lei, Liguo Wang, Zhan Jin. Multilevel Feature Gated Fusion Based Spatial and Frequency Domain Attention Network for Joint Classification of Hyperspectral and LiDAR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 5960-5974. [PDF]

      [45] Fei Zhu, Cuiping Shi*, Liguo Wang, Haizhu Pan. An Adaptive Feature Enhanced Gaussian Weighted Network for Hyperspectral Image Classification, Remote sensing, 2025, 17, 763. [PDF]

      [44] Fei Zhu, Cuiping Shi*, Kaijie Shi, and Liguo Wang. Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Multimodal Feature Aggregation-Based Multihead Axial Attention Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, 5503817. [PDF]

      [43] Cuiping Shi, Kaijie Shi*, Zexin Zeng, Fei Zhu. Dynamic feature enhancement network guided by multi-dimensional collaborative edge information for remote sensing image compression, Knowledge-Based Systems, 310 (2025) 112996 . [PDF]

      [42] Fei Zhu, Cuiping Shi*, Liguo Wang, Kaijie Shi. A Greedy Strategy Guided Graph Self-Attention Network for Few-Shot Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5539620. [PDF]

      [41] Cuiping Shi*, Kaijie Shi, Fei Zhu, Zexin Zeng, Mengxiang Ding, Zhan Jin. An enhanced global feature-guided network based on multiple filtering noise reduction for remote sensing image compression, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5646220 . DOI: 10.1109/TGRS.2024.3483871. [PDF]

      [40] Cuiping Shi*, Kaijie Shi, Fei Zhu, Zexin Zeng, Liguo Wang. A multi-level domain similarity enhancement-guided network for remote sensing image compression, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5645819. [PDF]

      [39] Cuiping Shi, Shuheng Yue*, Liguo Wang. Attention Head Interactive Dual Attention Transformer for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5523720. [PDF]

      [38] Cuiping Shi*, Shuheng Yue, Haiyang Wu, Fei Zhu, Liguo Wang. A Multihop Graph Rectify Attention and Spectral Overlap Grouping Convolutional Fusion Network for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5520517. [PDF]

      [37] Cuiping Shi*, Kaijie Shi, Fei Zhu, Zexin Zeng, Liguo Wang. Multihead Global Attention and Spatial Spectral Information Fusion for Remote Sensing Image Compression, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024,17, 999-1015. [PDF]

      [36] Cuiping Shi*, Zhenquan Liu, Jiageng Qu, Yuxin Deng. The Expansion Methods of Inception and Its Application, Symmetry-Basel, 2024, 16, 494. [PDF]

      [35] Cuiping Shi*, Shuheng Yue, Liguo Wang. A Dual-Branch Multiscale Transformer Network for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5504520. [PDF]

      [34] Cuiping Shi*, Jiaxiang Chen, Liguo Wang. Hyperspectral image classification based on a novel Lush multi-layer feature fusion bias network, Expert Systems With Applications, 247 (2024) 123155. [PDF]

      [33] Cuiping Shi*, Xinlei Zhang, Liguo Wang, Zhan Jin. A lightweight convolution neural network based on joint features for Remote Sensing scene image classification, International Journal of Remote Sensing, 2023, 44(21): 6615-6641. [PDF]

      [32] Cuiping Shi*, Haiyang Wu, Liguo Wang. A Feature Complementary Attention Network Based on Adaptive Knowledge Filtering for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5527219. [PDF]

      [31] Cuiping Shi*, Mengxiang Ding, Liguo Wang, Haizhu Pan. Learn by Yourself: A Feature-Augmented Self-Distillation Convolutional Neural Network for Remote Sensing Scene Image Classification, Remote Sensing, 2023, 15, 5620. [PDF]

      [30] Cuiping Shi*, Haiyang Wu, Liguo Wang. CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification, Neural Networks, 168 (2023) 105-122. [PDF]

      [29] Haiyang Wu, Cuiping Shi*, Liguo Wang. GDPA_LDSICS: Graph and Double Pyramid Attention Network Based on Linear Discrimination of Spectral Interclass Slices for Hyperspectral Image Classification, International Journal of Remote Sensing, 2023, 44(17) ：5283–5312. [PDF]

      [28] Diling Liao, Cuiping Shi*, Liguo Wang. A Spectral-Spatial Fusion Transformer Network for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2023,61, 5515216. [PDF]

      [27] Haiyang Wu, Cuiping Shi*, Tianyi Wang, Zhan Jin. A Cross-Channel Dense Connection and Multi-Scale Dual Aggregated Attention Network for Hyperspectral Image Classification, Remote Sensing, 2023, 15, 2367. [PDF]

      [26] Cuiping Shi*, Jingwei Sun, Tianyi Wang, Liguo Wang. Hyperspectral Image Classification Based on a 3D Octave Convolution and 3D Multiscale Spatial Attention Network, Remote Sensing, 2023, 15, 257. [PDF]

      [25] Diling Liao, Cuiping Shi*, Liguo Wang. A complementary integrated Transformer network for hyperspectral image classification, CAAI Transactions on Intelligence Technology, 2023, 1-20. [PDF]

      [24] Cuiping Shi*, Haiyang Wu, Liguo Wang. A Positive Feedback Spatial-Spectral Correlation Network Based on Spectral Slice for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5503417. [PDF]

      [23] Cuiping Shi*, Tianyu Zhang, Diling Liao, Zhan Jin, Liguo Wang. Dual Hybrid Convolutional Generative Adversarial Network for Hyperspectral Image Classification, International Journal of Remote Sensing, 2022，43(14): 5452–5479. [PDF]

      [22] Cuiping Shi*, Xinlei Zhang, Tianyi Wang, Liguo Wang. A Lightweight Convolution Neural Network Based on Hierarchical-wise Convolution Fusion for Remote Sensing Scene Image Classification, Remote Sensing, 2022, 14：3184. [PDF]

      [21] Cuiping Shi*, Diling Liao, Tianyu Zhang, Liguo Wang. Hyperspectral Image Classification Based on Expansion Convolution Network, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60：5528316. [PDF]

      [20] Cuiping Shi*, Jingwei Sun, Liguo Wang. Hyperspectral Image Classification Based on Spectral Multiscale Convolutional Neural Network, Remote Sensing, 2022, 14(8), 1951. [PDF]

      [19] Cuiping Shi*, Diling Liao, Tianyu Zhang, Liguo Wang. Hyperspectral image classification based on 3D coordination attention mechanism network, Remote Sensing, 2022, 14, 608. [PDF]

      [18] Cuiping Shi*, Xinlei Zhang, Jingwei Sun, Liguo Wang. Remote sensing scene image classification based on self-compensating convolution neural network, Remote Sensing, 2022, 14, 545. [PDF]

      [17] Cuiping Shi*, Xinlei Zhang, Jingwei Sun, Liguo Wang. A Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification, Remote Sensing, 2022, 14 ,161. [PDF]

      [16] Cuiping Shi*, Xinlei Zhang, Liguo Wang. A Lightweight Convolutional Neural Network Based on Channel Multi-Group Fusion for Remote Sensing Scene Classification, Remote Sensing, 2022, 14 ,9, 1-27. [PDF]

      [15] Wenli Liu, Cuiping Shi*, Hengjun Zhu, Hongbo Yu. Wireless Sensor Network Node Localization Algorithm Based on PSO-MA, Journal of web engineering, 2021, 20(4): 1075–1092 [PDF]

      [14] Tianyu Zhang, Cuiping Shi*, Diling Liao, Liguo Wang. Deep Spectral Spatial Inverted Residual Network for Hyperspectral Image Classification, Remote Sensing, 2021,13,4472. [PDF]

      [13] Cuiping Shi*, Diling Liao, Yi Xiong, Tianyu Zhang, Liguo Wang. Hyperspectral Image Classification Based on Dual-Branch Spectral Multiscale Attention Network, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14：10450-10467. [PDF]

      [12] Cuiping Shi*, Xinlei Zhang, Jingwei Sun, Liguo Wang. Remote Sensing Scene Image Classification based on Dense Fusion of Multi-level Features, Remote Sensing, 2021, 13.4379. [PDF]

      [11] Tianyu Zhang, Cuiping Shi*, Diling Liao, and Liguo Wang. A Spectral Spatial Attention Fusion with Deformable Convolutional Residual Network for Hyperspectral Image Classification, Remote Sensing, 2021, 13, 3590. [PDF]

      [10] Cuiping Shi*, Cong Tan, Tao Wang, and Liguo Wang. A Waste Classification Method Based on a Multilayer Hybrid Convolution Neural Network., Applied Sciences, 2021, 11, 8572. [PDF]

      [9] Cuiping Shi, Xin Zhao, Liguo Wang*. A Multi-branch Feature Fusion Strategy Based on Attention Mechanism for Remote Sensing Image Scene Classification, Remote Sensing, 2021, 13(10), 1950. [PDF]

      [8] Cuiping Shi, Cong Tan, Liguo Wang. A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network, IEEE ACCESS, 2021, 9(3):39255-39274. [PDF]

      [7] Cuiping Shi, Tao Wang, Liguo Wang. Branch Feature Fusion Convolution Network for Remote Sensing Scene Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020,13(9):5194-5210. [PDF]

      [6] Cuiping Shi, Ruiyang Xia, Liguo Wang. A Novel Multi-Branch Channel Expansion Network for Garbage Image Classification, IEEE ACCESS, 2020, 8(9):154436-154452. [PDF]

      [5] Cuiping Shi, Liguo Wang. Remote Sensing Image Compression Based on Adaptive Directional Wavelet Transform with Content-dependent Binary Tree Codec, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(3)：934-949. [PDF]

      [4] Cuiping Shi, Liguo Wang, Junping Zhang, Fengjuan Miao, and Peng He. Remote Sensing Image Compression Based on Direction Lifting-Based Block Transform with Content-Driven Quadtree Coding Adaptively, Remote Sensing, 2018,10 (7), 1-24. [PDF]

      [3] Cuiping Shi, Junping Zhang*, Ye Zhang. Content-Based Onboard Compression for Remote Sensing Images, Neurocomputing, 2016, 191(5): 330-340. [PDF]

      [2] Cuiping Shi, Junping Zhang*, Ye Zhang. A Novel Vision-Based Adaptive Scanning for the Compression of Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(3): 1336-1348. [PDF]

      [1] Cuiping Shi, Junping Zhang*, Hao chen, Ye Zhang. “A Novel Hybrid Method for Remote Sensing Image Approximation Using the Tetrolet Transform,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(12)：4949-4959. [PDF]




    项目情况

      主持:

      • 1. 国家自然科学基金面上项目, “面向数据特性保持的高光谱影像高效压缩方法研究”, 项目号:42271409, 2023.01-2026.12
      • 2. 国家自然科学基金青年基金, 面向宽幅高光谱遥感影像的高效压缩方法研究, 项目号:41701479, 2018.01-2020.12
      • 3. 中国博士后科学基金, “基于宽幅高光谱微纳卫星数据分析的压缩关键技术研究”, 项目号:2017M621246, 2017.11-2020.06
      • 4. 黑龙江省博士后科学基金, “基于spark双星的高光谱遥感影像压缩关键技术研究”, 项目号:LBH-Z17052, 2017.11-2020.07
      • 5. 黑龙江省博士后科研启动基金, “基于深层特征挖掘的GF-5卫星数据压缩关键技术研究”, 项目号:LBH-Q20188, 2020.11-2022.11
      • 6. 黑龙江省省属高等学校基本科研业务费科研项目, “基于大数据的遥感图像高效压缩及传输关键技术研究”, 项目号:135109250, 2017.01.01-2019.12.31
      • 7. 黑龙江省教育厅基本科研业务费专项-青年创新人才项目, “基于超像素的“高分五号”卫星数据高效压缩方法研究”, 项目号:135309342, 2019.01.01-2021.12.31
      • 8. 黑龙江省省属高等学校基本科研业务费科研项目, “基于空谱注意力融合的高光谱遥感影像分类方法研究”, 项目号:135509136, 2021.01.01-2023.12.31
      • 9. 黑龙江省科学基金项目, “高光谱卫星数据高效压缩方法研究”, 项目号:LH2021D022, 2021.07.01-2024.07.01
      • 10. 黑龙江省省属高等学校基本科研业务费科研项目, “基于深度空谱可逆残差网络的高光谱图像分类方法研究”, 项目号:145209149, 2023.01.01-2024.12.30
      • 11. 浙江省湖州市科技计划项目, “面向高分辨率高光谱影像的农作物精细分类技术研究”, 项目号:2024GZ36, 2024.11-2026.11
      • 12. 齐齐哈尔市科学技术计划项目, “海量数据下卫星遥感图像分级压缩与快速处理技术研究”, 项目号:GYGG-201415, 2014.06-2016.06
      • 13. 齐齐哈尔市科学技术计划项目, “基于遥感特性的分层低复杂度卫星遥感图像编解码器设计”, 项目号:GYGG-201415, 2016.07-2017.12

      参与:

      • 1. 国家自然科学基金, “高分辨率遥感影像地类特征的诊断能力分析与选择”, 项目号:41301455, 2014.1-2016.12, 排名第二
      • 2. 国家863项目, “海量多源空间数据调度与压缩传输技术”, 项目号:2012AA12A405, 2012.1-2014.12, 排名第七
      • 3. 黑龙江省科学基金项目计划, “面向自适应熵编码的非平稳数据时变模式识别与概率估计方法研究”, 项目号:LC2016025, 2016.07-2019.07,排名第五

    发明专利
    • [19] 石翠萍, 张鑫磊，王丽婧. 基于通道多分组融合的遥感场景图像分类方法. 专利号：ZL 2021 1 1502098.7, 授权日： 2024年07月12日,已授权
    • [18] 石翠萍, 张甜雨，张鑫磊.基于深度光谱空间倒残差网络的高光谱图像分类方法. 专利号：ZL 2021 1 1290378.6，授权日：2024年06月14日, 已授权
    • [17]靳展， 石翠萍，张鑫磊，王天毅. 基于多层次特征密集融合的遥感场景图像分类方法. 专利号：ZL 2021 1 1037856.2，授权日：2024.04.02，已授权。
    • [16] 石翠萍, 陈家祥，王丽婧，王天毅. 基于Lush多层特征融合偏置网络的地物识别方法. 专利号：ZL 2022 1 1406631.4，授权日：2024.01.02，已授权。
    • [15] 石翠萍, 廖帝灵，王天毅. 基于双分支光谱多尺度注意力网络的高光谱图像分类方法. 专利号：ZL202110856236.5，授权日：2023.04.18，已授权。
    • [14] 石翠萍, 谭聪，苗凤娟，刘文礼，王天毅. 一种基于混合卷积神经网络的垃圾分类方法. 专利号：ZL201911383091.0，授权日：2022.10.13，已授权。
    • [13] 石翠萍, 赵鑫，王天毅. 一种基于注意力机制的多分支特征融合遥感场景图像分类方法. 专利号：ZL202110192358.9, 授权日：2022.09.02，已授权。
    • [12] 石翠萍, 夏瑞阳，刘超，刘文礼. 一种基于多分路通道扩容网络的垃圾图像分类方法. 专利号：ZL202010379289.8, 授权日：2022.09.02，已授权。
    • [11] 石翠萍, 谭聪，靳展，苗凤娟，刘文礼. 基于多分支跨连接卷积神经网络的表情识别方法. 专利号：ZL202010378592.6, 授权日：2022.08.09，已授权。
    • [10] 石翠萍, 王涛，刘超，苗凤娟. 基于支路特征融合卷积网络的遥感场景分类方法. 专利号：ZL202010484751.0, 授权日：2022.07.26，已授权。
    • [9] 石翠萍, 王涛，李静辉，靳展，王天毅.一种基于轻量卷积神经网络的垃圾分类方法. 专利号： ZL201911405696.5, 授权日：2022.07.26，已授权。
    • [8] 石翠萍, 张甜雨，王天毅. 基于光谱空间注意力融合和可变形卷积残差网络的高光谱图像分类方法. 专利号：ZL202110774209.3，授权日：2022-05-20，已授权。
    • [7] 石翠萍, 苗凤娟，陶佰睿，靳展，黄柏锋，王天毅. 基于自适应采样及平滑投影的分块压缩感知方法. 专利号：ZL201910463144.3，授权日：2020-12-18，已授权。
    • [6] 石翠萍, 靳展，何鹏，朱恒军，李静辉，那与晶，潘悦. 物联网下基于方向提升小波及改进SPIHT的图像压缩方法. 专利号：ZL201810596841.1，授权日：2020-12-29，已授权
    • [5] 石翠萍, 李奇楠，陈洋. 一种遥感影像压缩方法. 专利号：ZL201810596392.0，授权日：2020-09-18，已授权。
    • [4] 石翠萍, 靳展，刘文礼. 一种基于感兴趣像素保护的高光谱图像压缩方法. 专利号：ZL 201410091375.3，授权日：2018-02-16，已授权。
    • [3] 石翠萍, 靳展，刘文礼. 一种遥感影像实时压缩及渐进传输系统. 专利号：ZL201410026138.9，授权日：2017-09-15，已授权。
    • [2] 石翠萍, 张钧萍，张晔. 一种基于人眼视觉与自适应扫描的遥感图像压缩方法. 专利号：ZL201410853179.5，授权日：2017-06-06，已授权。
    • [1] 石翠萍, 张钧萍，张晔，陈浩. 一种基于混合变换的遥感图像稀疏估计方法，专利号：ZL201410074775.3，授权日：2016-09-14，已授权。公开/公告号：CN103824263B

    论著
    • 1.学术专著, 《光学遥感图像压缩方法及应用》, 独著，哈尔滨工业大学出版社，2021年5月（被评为“黑龙江省精品图书”）
    • 2.教材, 《数据压缩》, 主编，吉林大学出版社，2018年4月
    • 3.教材, 《程控交换与CTI技术》, 副主编，哈尔滨工业大学出版社，2010年
    • 4.译著《卫星数据压缩》（第1版）, 参与翻译，哈尔滨工业大学出版社，2014年5月
    • 5.译著《遥感数字图像分析导论》（第5版）, 参与翻译，电子工业出版社，2015年3月

    授课情况

    本科生课程:

    • 《数字图像处理》、《信息论基础》

    研究生课程:

    • 《数字图像处理》

    学生培养

    2019级硕士生:

    2020级硕士生:

    2021级硕士生:

    2022级硕士生:

    2023级硕士生:


    学术交流

    Guest Editor:

    • Remote Sensing | Special Issue : Advanced Technology for Remote Sensing Image Analysis and Applications (mdpi.com)

    Session Chair:

    • 2025.01.03-01.05 The 8th International Conference on Image and Graphics Processing, Macro, China；Onsite Session2: Intelligent Image Model and Signal Analysis

    Invited Talks::

    • 2025.01.04. The International Conference on Image and Graphics Processing (ICIGP 2025), “Research on the compression of remote sensing images”

    Scientific Committee::

    • 中国图像图形学学会 | CSIG女工委委员
    • SPIE会员 | IEEE会员
    • 黑龙江省计算机学会会员
    • 中国通信学会会员

    Regular and Active Reviewers for：:

    • IEEE Transactions on Image Processing;
    • IEEE Transactiosn on Neural Networks and Learning Systems
    • ISPRS Journal of Photogrammetry and Remote Sensing
    • IEEE Transactions on Human-Machine Systems
    • IEEE Transactions on Aerospace and Electronic Systems
    • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
    • IEEE Internet of Things Journal
    • IEEE Geoscience and Remote Sensing Letters
    • International Journal of Applied Earth Observation and Geoinformation
    • Information Fusion
    • Neural Networks
    • Expert System and Applications
    • Knowledge-based System
    • Neurocomputing
    • IET Image Processing
    • Remote Sensing
    • Journal of Applied Remote Sensing