Cuiping Shi (石 翠 萍)

教授、博士生导师Professor, Doctoral Supervisor
Email: shicuiping@zjhu.edu.cn

Huzhou Normal University | 湖州师范大学
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602Address: Building 31, Room 602, No. 759 East Second Ring Road, Wuxing District, Huzhou, Zhejiang, China
[GitHub] [ResearchGate] [Team] [学院个人主页College Homepage]
论文成果Publications | 项目情况Projects | 发明专利Patents | 论著Books | 授课情况Teaching | 学生培养Students | 学术交流Academic Exchange

个人简介Biography
石翠萍，女，工学博士，教授、博士生导师。哈尔滨工业大学工学博士毕业，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。
Cuiping Shi, female, Ph.D. in Engineering, is a Professor and Doctoral Supervisor. She received her Ph.D. from Harbin Institute of Technology, and her doctoral dissertation was nominated for the "19th Outstanding Doctoral Dissertation of Harbin Institute of Technology". In 2020, she completed her postdoctoral research at the Information and Communication Engineering Postdoctoral Station of Harbin Engineering University (with an "Excellent" rating). She is a leader of a provincial first-class major, a "Leading Talent" among municipal high-level talents, a provincial high-level talent, and a review expert for the National Natural Science Foundation of China. Her research mainly focuses on remote sensing image analysis and processing, as well as machine learning and artificial intelligence.
Over the past five years, she has led and participated in more than ten projects, including projects funded by the National Natural Science Foundation of China, the National 863 Program, and other provincial and ministerial programs. Some of the completed results of her projects were rated as "domestically leading level". She has published more than 80 papers in journals such as IEEE TGRS, IEEE JSTARS, Neurocomputing, Remote Sensing, and IJRS; published one academic monograph (rated a "Provincial Excellent Book" in 2021); and co-translated two works, "Satellite Data Compression" and "Remote Sensing Digital Image Analysis: An Introduction" (Fifth Edition). She has applied for more than 30 invention patents, with 14 granted as the first inventor. She has led student teams to win 2 national third prizes and 9 provincial prizes in the "Huawei Cup" China Intelligent Design Competition, and was awarded the "Outstanding Supervisor" title by the Computer Education Research Association of Chinese Universities.


招生说明：每年招收硕士生4~5名，博士生1名，欢迎同学报名联系！有意愿者请把简历发至本人邮箱，期待你我能共同成长！Admission Notice: I recruit 4-5 master's students and 1 doctoral student each year. You are warmly welcome to apply! Interested applicants, please send your CV to my email. I look forward to growing together with you!

  • 学硕Academic Master：➽ 计算机科学与技术 (081200)Computer Science and Technology (081200)
  • 专硕Professional Master：➽ 计算机技术 (085404)Computer Technology (085404)



    • 论文成果Publications

    Journals: (* denotes the Corresponding Author)

      [63] Cuiping Shi, Yiting Wang, Weiwei Sun*, Chenyang Fu, Zhan Jin. HSMMamba: Hierarchical Superpixel MoE With Mamba for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2026, 64，5519414.

      [62] Cuiping Shi*, Shihang Ding, Zhipeng Zhong, Yanmin Shuai, Keyan Wang. A Novel Conditional Alignment and Pseudo Label Generation Method for Cross-Scene Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19,14914-14928.

      [61] Zhipeng Zhong, Cuiping Shi*, Weiwei Sun*, Keyan Wang, Yuan Zhang. Adaptive Contourlet-guided Fuzzy Fusion Network for Joint Classification of Hyperspectral and LiDAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2026, 64，5510412.

      [60] Cuiping Shi*, Zexin Zeng, Weiwei Sun*, Kaijie Shi, Fei Zhu. LiDAR-Guided Multi-Modal Fusion for Dynamic Hyperspectral Band Selection, Knowledge-based System, 2026, 341, 115781.

      [59] Cuiping Shi, Wenxiang Jin, Yanmin Shuai, Maonian Wu, Tianyi Wang. Joint Shifted Attention and Cross-Guided Feature Fusion for Remote Sensing Scene Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19, 5143-5154.

      [58] Kaijie Shi, Cuiping Shi*, Weiwei Sun, Liguo Wang. A spectral difference preservation network based on Mamba pyramid for hyperspectral image compression, Pattern Recognition, 175 (2026) 113088.

      [57] Cuiping Shi*, Yimin Wang, Liguo Wang. AF2-MSA Net: Attention-Fusion Focused Multiscale Architecture Network for Remote Sensing Scene Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, 19, 1150-1164.

      [56] Cuiping Shi*, Yeqi Lei , Fei Zhu, Diling Liao, Chenyang Fu, Liguo Wang. HMMamba: Hierarchical Multiscale Mamba Network for Joint Classification of Hyperspectral and LiDAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63，5533718.

      [55] Zexin Zeng, Cuiping Shi*, Liguo Wang, Haizhu Pan. A Greedy Band Selection Strategy Based on Dual-frequency Collaborative Feature Fusion for Unsupervised Hyperspectral Band Selection, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63.

      [54] Cuiping Shi*, Yiting Wang, Weiwei Sun, Diling Liao. PS2Mamba: A Pyramid-Based Spectral-Spatial Mamba for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63,5532719.

      [53] Mingyuan Yang, Cuiping Shi*, Kangning Tan, Haocheng Wu , Shenghan Wang, and Liguo Wang. HLAE-Net: A Hierarchical Lightweight Attention-Enhanced Strategy for Remote Sensing Scene Image Classification, Remote Sensing, 2025, 17,3279.

      [52] Cuiping Shi*, Zhipeng Zhong, Weiwei Sun, Liguo Wang. Domain Invariant Progressive Enhancement for Cross Scene Classification of Hyperspectral Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 24701-24715.

      [51] Cuiping Shi, Fei Zhu*, Kaijie Shi, Liguo Wang, Haizhu Pan. TBi-Mamba: Rethinking Joint Classification of Hyperspectral and LiDAR Data with Bidirectional Mamba, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63，5522515.

      [50] Haiyang Wu, Cuiping Shi*, Shuheng Yue, Fei Zhu, Zhan Jin. Domain Adaptation Network Based on Multi-Level Feature Alignment Constraints for Cross Scene Hyperspectral Image Classification, Knowledge-Based Systems, 2025.

      [49] Cuiping Shi*, Mengxiang Ding, Liguo Wang. Reparameterized Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 12603- 12615.

      [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, 18,10530-10546.

      [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.

      [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.

      [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.

      [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.

      [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 .

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

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

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

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

      [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.

      [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.

      [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.

      [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.

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

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

      [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.

      [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.

      [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.

      [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

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

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

      [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.

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

      [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.

      [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.




    项目情况Projects

      主持As Principal Investigator:

      • 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
      • 1. NSFC (General Program), "Research on Efficient Compression Methods for Hyperspectral Images with Data Characteristic Preservation", No. 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
      • 2. NSFC (Young Scientists Fund), "Research on Efficient Compression Methods for Wide-Swath Hyperspectral Remote Sensing Images", No. 41701479, 2018.01-2020.12
      • 3. 中国-莫桑比克智慧农业“一带一路”联合实验室开放课题, 面向农作物精细识别的多模态模型研究, 项目号:CMSA-KF202510, 2025.11—2027.05
      • 3. China-Mozambique Smart Agriculture "Belt and Road" Joint Laboratory Open Project, "Research on Multimodal Models for Fine-Grained Crop Recognition", No. CMSA-KF202510, 2025.11-2027.05
      • 4. 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. China Postdoctoral Science Foundation, "Research on Key Compression Technologies Based on Wide-Swath Hyperspectral Micro-Nano Satellite Data Analysis", No. 2017M621246, 2017.11-2020.06
      • 5. 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. Heilongjiang Postdoctoral Science Foundation, "Research on Key Compression Technologies for Hyperspectral Remote Sensing Images Based on Spark Dual-Satellite", No. LBH-Z17052, 2017.11-2020.07
      • 6. 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. Heilongjiang Postdoctoral Research Startup Fund, "Research on Key Compression Technologies for GF-5 Satellite Data Based on Deep Feature Mining", No. LBH-Q20188, 2020.11-2022.11
      • 7. 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. Fundamental Research Funds for Provincial Universities in Heilongjiang, "Research on Key Technologies for Efficient Compression and Transmission of Remote Sensing Images Based on Big Data", No. 135109250, 2017.01.01-2019.12.31
      • 8. 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. Heilongjiang Education Department Fundamental Research Funds - Young Innovative Talents Project, "Research on Efficient Compression Methods for GF-5 Satellite Data Based on Superpixels", No. 135309342, 2019.01.01-2021.12.31
      • 9. 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. Fundamental Research Funds for Provincial Universities in Heilongjiang, "Research on Hyperspectral Remote Sensing Image Classification Based on Spatial-Spectral Attention Fusion", No. 135509136, 2021.01.01-2023.12.31
      • 10. 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. Heilongjiang Provincial Natural Science Foundation, "Research on Efficient Compression Methods for Hyperspectral Satellite Data", No. LH2021D022, 2021.07.01-2024.07.01
      • 11. 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. Fundamental Research Funds for Provincial Universities in Heilongjiang, "Research on Hyperspectral Image Classification Based on Deep Spatial-Spectral Invertible Residual Networks", No. 145209149, 2023.01.01-2024.12.30
      • 12. 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. Huzhou City (Zhejiang) Science and Technology Program, "Research on Fine-Grained Crop Classification for High-Resolution Hyperspectral Images", No. 2024GZ36, 2024.11-2026.11
      • 13. 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. Qiqihar Science and Technology Program, "Research on Hierarchical Compression and Fast Processing of Satellite Remote Sensing Images under Massive Data", No. GYGG-201415, 2014.06-2016.06
      • 14. 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
      • 14. Qiqihar Science and Technology Program, "Design of a Hierarchical Low-Complexity Satellite Remote Sensing Image Codec Based on Remote Sensing Characteristics", No. GYGG-201415, 2016.07-2017.12
      • 15. 浙江省自然科学基金探索项目, “基于无人机高光谱影像的农作物跨场景精细分类关键技术研究”, 项目号:LMS26F010005, 2026.01.01-2027.12.31
      • 15. Zhejiang Provincial Natural Science Foundation (Exploration Project), "Research on Key Technologies for Cross-Scene Fine-Grained Crop Classification Based on UAV Hyperspectral Images", No. LMS26F010005, 2026.01.01-2027.12.31

      参与As Participant:

      • 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
      • 1. NSFC, "Diagnostic Capability Analysis and Selection of Land-Cover Features in High-Resolution Remote Sensing Images", No. 41301455, 2014.1-2016.12, Ranked 2nd
      • 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
      • 2. National 863 Program, "Scheduling and Compressed Transmission Technology for Massive Multi-Source Spatial Data", No. 2012AA12A405, 2012.1-2014.12, Ranked 7th
      • 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
      • 3. Heilongjiang Provincial Natural Science Foundation, "Research on Time-Varying Pattern Recognition and Probability Estimation for Non-Stationary Data in Adaptive Entropy Coding", No. LC2016025, 2016.07-2019.07, Ranked 5th

    发明专利Patents
    • [21] 石翠萍, 廖帝灵, 苗凤娟, 陶佰睿, 王天毅. 基于光谱空间融合Transformer特征提取的地物分类方法. 专利号：ZL 2023 1 0041746.6, 授权日： 2025.12.19,已授权
    • [21] Cuiping Shi, Diling Liao, Fengjuan Miao, Bairui Tao, Tianyi Wang. Land-Cover Classification Method Based on Spectral-Spatial Fusion Transformer Feature Extraction. Patent No. ZL 2023 1 0041746.6, granted 2025.12.19, Granted
    • [20] 石翠萍, 吴海洋，胡文军. 基于自适应过滤器及特征互补网络的高光谱图像分类方法. 专利号：ZL 2023 1 0697576.7, 授权日： 2025.09.26,已授权
    • [20] Cuiping Shi, Haiyang Wu, Wenjun Hu. Hyperspectral Image Classification Method Based on Adaptive Filter and Feature-Complementary Network. Patent No. ZL 2023 1 0697576.7, granted 2025.09.26, Granted
    • [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
    • [19] Cuiping Shi, Xinlei Zhang, Lijing Wang. Remote Sensing Scene Image Classification Method Based on Channel Multi-Group Fusion. Patent No. ZL 2021 1 1502098.7, granted 2024.07.12, Granted
    • [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
    • [18] Cuiping Shi, Tianyu Zhang, Xinlei Zhang. Hyperspectral Image Classification Method Based on Deep Spectral-Spatial Inverted Residual Network. Patent No. ZL 2021 1 1290378.6, granted 2024.06.14, Granted
    • [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。
    • [17] Zhan Jin, Cuiping Shi, Xinlei Zhang, Tianyi Wang. Remote Sensing Scene Image Classification Method Based on Dense Fusion of Multi-Level Features. Patent No. ZL 2021 1 1037856.2, granted 2024.04.02, Granted
    • [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。
    • [16] Cuiping Shi, Jiaxiang Chen, Lijing Wang, Tianyi Wang. Land-Cover Recognition Method Based on Lush Multi-Layer Feature Fusion Bias Network. Patent No. ZL 2022 1 1406631.4, granted 2024.01.02, Granted
    • [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。
    • [15] Cuiping Shi, Diling Liao, Tianyi Wang. Hyperspectral Image Classification Method Based on Dual-Branch Spectral Multiscale Attention Network. Patent No. ZL202110856236.5, granted 2023.04.18, Granted
    • [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。
    • [14] Cuiping Shi, Cong Tan, Fengjuan Miao, Wenli Liu, Tianyi Wang. A Waste Classification Method Based on Hybrid Convolutional Neural Network. Patent No. ZL201911383091.0, granted 2022.10.13, Granted
    • [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。
    • [13] Cuiping Shi, Xin Zhao, Tianyi Wang. A Multi-Branch Feature Fusion Remote Sensing Scene Classification Method Based on Attention Mechanism. Patent No. ZL202110192358.9, granted 2022.09.02, Granted
    • [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。
    • [12] Cuiping Shi, Ruiyang Xia, Chao Liu, Wenli Liu. A Garbage Image Classification Method Based on Multi-Branch Channel Expansion Network. Patent No. ZL202010379289.8, granted 2022.09.02, Granted
    • [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。
    • [11] Cuiping Shi, Cong Tan, Zhan Jin, Fengjuan Miao, Wenli Liu. Facial Expression Recognition Method Based on Multi-Branch Cross-Connection Convolutional Neural Network. Patent No. ZL202010378592.6, granted 2022.08.09, Granted
    • [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。
    • [10] Cuiping Shi, Tao Wang, Chao Liu, Fengjuan Miao. Remote Sensing Scene Classification Method Based on Branch Feature Fusion Convolutional Network. Patent No. ZL202010484751.0, granted 2022.07.26, Granted
    • [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。
    • [9] Cuiping Shi, Tao Wang, Jinghui Li, Zhan Jin, Tianyi Wang. A Waste Classification Method Based on Lightweight Convolutional Neural Network. Patent No. ZL201911405696.5, granted 2022.07.26, Granted
    • [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。
    • [8] Cuiping Shi, Tianyu Zhang, Tianyi Wang. Hyperspectral Image Classification Method Based on Spectral-Spatial Attention Fusion and Deformable Convolutional Residual Network. Patent No. ZL202110774209.3, granted 2022.05.20, Granted
    • [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。
    • [7] Cuiping Shi, Fengjuan Miao, Bairui Tao, Zhan Jin, Baifeng Huang, Tianyi Wang. Block Compressed Sensing Method Based on Adaptive Sampling and Smooth Projection. Patent No. ZL201910463144.3, granted 2020.12.18, Granted
    • [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
    • [6] Cuiping Shi, Zhan Jin, Peng He, Hengjun Zhu, Jinghui Li, Yujing Na, Yue Pan. Image Compression Method Based on Directional Lifting Wavelet and Improved SPIHT in the Internet of Things. Patent No. ZL201810596841.1, granted 2020.12.29, Granted
    • [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。
    • [5] Cuiping Shi, Qinan Li, Yang Chen. A Remote Sensing Image Compression Method. Patent No. ZL201810596392.0, granted 2020.09.18, Granted
    • [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。
    • [4] Cuiping Shi, Zhan Jin, Wenli Liu. A Hyperspectral Image Compression Method Based on Region-of-Interest Pixel Protection. Patent No. ZL 201410091375.3, granted 2018.02.16, Granted
    • [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。
    • [3] Cuiping Shi, Zhan Jin, Wenli Liu. A Real-Time Compression and Progressive Transmission System for Remote Sensing Images. Patent No. ZL201410026138.9, granted 2017.09.15, Granted
    • [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。
    • [2] Cuiping Shi, Junping Zhang, Ye Zhang. A Remote Sensing Image Compression Method Based on Human Visual Perception and Adaptive Scanning. Patent No. ZL201410853179.5, granted 2017.06.06, Granted
    • [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
    • [1] Cuiping Shi, Junping Zhang, Ye Zhang, Hao Chen. A Sparse Estimation Method for Remote Sensing Images Based on Hybrid Transform. Patent No. ZL201410074775.3, granted 2016.09.14, Granted. Publication No. CN103824263B

    论著Books & Translations
    • 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”）
    • 1. Monograph, "Optical Remote Sensing Image Compression Methods and Applications", sole author, Harbin Institute of Technology Press, May 2021 (awarded "Heilongjiang Province Excellent Book")
    • 2.教材, 《数据压缩》, 主编，吉林大学出版社，2018年4月
    • 2. Textbook, "Data Compression", Editor-in-Chief, Jilin University Press, April 2018
    • 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
    • 3. Textbook, "Program-Controlled Switching and CTI Technology", Associate Editor, Harbin Institute of Technology Press, 2010
    • 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
    • 4. Translation, "Satellite Data Compression" (1st Edition), co-translator, Harbin Institute of Technology Press, May 2014
    • 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
    • 5. Translation, "Remote Sensing Digital Image Analysis: An Introduction" (5th Edition), co-translator, Publishing House of Electronics Industry, March 2015

    授课情况Teaching

    本科生课程Undergraduate Courses:

    • 《数字图像处理》、《信息论基础》
    • "Digital Image Processing", "Fundamentals of Information Theory"

    研究生课程Graduate Courses:

    • 《数字图像处理》
    • "Digital Image Processing"

    学生培养Students

    2019级硕士生Master's Students (Class of 2019):

    2020级硕士生Master's Students (Class of 2020):

    2021级硕士生Master's Students (Class of 2021):

    2022级硕士生Master's Students (Class of 2022):

    2023级硕士生Master's Students (Class of 2023):


    学术交流Academic Exchange

    专业主编Specialty Chief Editor:

    • Frontiers in Imaging| Specialty Section: Image Coding and Security

    客座编辑Guest Editor:

    • Remote Sensing | Special Issue : Advanced Technology for Remote Sensing Image Analysis and Applications (mdpi.com)
    • JSTARS| Special issue: Resource-Constrained Multimodal Foundation Models: Toward Advanced Remote Sensing Applications


    分会场主席Sub-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

    特邀报告Invited Talks:

    • 2025.01.04. The International Conference on Image and Graphics Processing (ICIGP 2025), "Research on the compression of remote sensing images"
    • 2025.7.20. 在2025人工智能与遥感科学交叉论坛(AIRS2025)的分会场"山地与高原遥感",进行了题为"基于多模态特征聚合的高光谱和Lidar数据联合分类"的学术报告
    • 2025.07.20. At the "Mountain and Plateau Remote Sensing" session of the 2025 AI and Remote Sensing Science Forum (AIRS2025), gave a talk titled "Joint Classification of Hyperspectral and LiDAR Data Based on Multimodal Feature Aggregation".
    • 2025.08.19. 在第二届全国信息地理学大会的分会场"海岸带信息遥感"，进行了题为"基于多源数据融合的高光谱图像分类方法"的学术报告
    • 2025.08.19. At the "Coastal Zone Information Remote Sensing" session of the 2nd National Conference on Information Geography, gave a talk titled "Hyperspectral Image Classification Based on Multi-Source Data Fusion".
    • 2025.10.26. 在2025第九届全国成像光谱对地观测学术研讨会，分会场"分论坛三：成像光谱与智能处理技术（Ⅰ）",进行了题为"TBi-Mamba：用双向 Mamba 重新思考高光谱和 LiDAR 数据的联合分类"的学术报告
    • 2025.10.26. At the 9th National Symposium on Imaging Spectroscopy for Earth Observation, Session "Imaging Spectroscopy and Intelligent Processing (I)", gave a talk titled "TBi-Mamba: Rethinking Joint Classification of Hyperspectral and LiDAR Data with Bidirectional Mamba".
    • 2025.11.9. 第二届浙江省遥感科学前言交叉论坛"，在"分会场三：遥感与人工智能"，进行了题为"基于Mamba的高光谱图像分类方法"的特邀报告
    • 2025.11.09. At the 2nd Zhejiang Remote Sensing Science Frontier Forum, Session "Remote Sensing and Artificial Intelligence", gave an invited talk titled "Mamba-Based Hyperspectral Image Classification".
    • 2026.5.17. 在2026人工智能与遥感科学交叉论坛(AIRS2026)的分会场"高光谱遥感会场二"，进行了题为"基于Mamba的高光谱图像压缩方法"的学术报告
    • 2026.05.17. At the "Hyperspectral Remote Sensing Session II" of the 2026 AI and Remote Sensing Science Forum (AIRS2026), gave a talk titled "Mamba-Based Hyperspectral Image Compression".

    会议召集人Convenor of the conference:

    • 担任 2026人工智能与遥感科学交叉论坛(AIRS 2026)--分会场"高光谱遥感会场（二）"召集人
    • Convenor of the "Hyperspectral Remote Sensing Session II" at the 2026 AI and Remote Sensing Science Forum (AIRS 2026)
    • 担任 2025人工智能与遥感科学交叉论坛(AIRS 2025)--分会场"多模态时空通用智能"召集人
    • Convenor of the "Multimodal Spatiotemporal General Intelligence" session at the 2025 AI and Remote Sensing Science Forum (AIRS 2025)
    • 担任 第二届浙江省遥感科学前言交叉论坛"--分会场三：遥感与人工智能" 主持人
    • Chair of Session III "Remote Sensing and Artificial Intelligence" at the 2nd Zhejiang Remote Sensing Science Frontier Forum

    学术任职Scientific Committee:

    • 国际数字地球学会中国国家委员会成像光谱对地观测专业委员
    • Member, Imaging Spectroscopy Earth Observation Committee, Chinese National Committee of ISDE
    • 人工智能与遥感科学交叉论坛专业委员
    • Member, Professional Committee (Cross-disciplinary Forum on AI & Remote Sensing)
    • 中国图像图形学学会 | CSIG女工委委员
    • Member, China Society of Image and Graphics (CSIG) | Member, CSIG Women's Committee
    • 国际数字地球学会会员
    • Member, International Society for Digital Earth (ISDE)
    • SPIE会员 | IEEE会员
    • SPIE Member | IEEE Member
    • 中国通信学会会员
    • Member, China Institute of Communications
    • 中国地理学会会员
    • Member, Geographical Society of China
    • 黑龙江省计算机学会会员
    • Member, Heilongjiang Computer Federation

    期刊审稿人 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