遥感数据处理、遥感目标检测识别、异构数据表示学习。

一、个人简介：
庄胤，男，博士，预聘助理教授，硕士生导师。出生于1990年12月20日。
主要从事遥感数据智能解译研究工作，涉及遥感目标检测识别、遥感基础模型以及异构数据表示学习等方面。主持了国家自然科学青年基金、面上基金以及十四五航天预研等国家级项目。相关研究成果发表于IEEE TGRS、IEEE JSTARS、IEEE GRSL、Remote Sensing、Science China、IEEE IGARSS等期刊与会议上，共计30余篇SCI期刊/EI会议论文，获得国家发明专利授权5项。其中，1篇IEEE TGRS论文为ESI高被引。曾获国家基金委“眼神杯”遥感图像细数表征检测比赛三等奖、军委科技委卫星应用技术高端论坛优秀论文奖。所指导的硕士获得2023年校级优秀硕士毕业论文。担任2024年IEEE JSTARS特刊以及Remote Sensing特刊客座编辑。教授本科生课程《机器学习与实践》、《数字图像智能处理》、研究生课程《智能信息处理》。

二、教育背景
2018.07，获工学博士学位，北京理工大学信号与信息处理专业；
2013.09，获工学硕士学位，University of Sussex, UK通讯工程专业；
2012.06，获工学学士学位，University of Central Lancashire, UK电子工程专业；

三、职业经历
2021.01 至今，预聘助理教授，北京理工大学信息与电子学院；
2018.07 – 2020.12，博士后，北京大学信息科学与技术学院；

四、研究概况：
长期从事遥感数据智能解译领域的研究及教学工作，主要针对复杂遥感图像数据的目标检测识别、多源数据泛化表示、小样本机器学习以及遥感基础大模型开展研究，以推动我国天基对地观测遥感大数据智能化处理水平提升。

五、 职业活动
Guest Editor, Special Issue of Large-Scale Pretraining for Interpretation Promotion in Remote Sensing Domain on IEEE JSTARS, August, 2024；
Guest Editor, Advanced Techniques in Remote Sensing for Object Detection: From Few-Shot Learning to Open Vocabulary Applications on MDPI Remote Sensing, December, 2024；

六、讲授课程
机器学习与实践，本科生专业课，北京理工大学；
数字图像处理，本科生专业课，北京理工大学；
智能信息处理，研究生专业课，北京理工大学；

学术出版物、论文等
[1] Jianlin Xie, Guanqun Wang, Yin Zhuang et al. DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification, IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)
[2] Wei Zhang, Miaoxin Cai, Tong Zhang, Yin Zhuang et al. EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain, CoRR abs/2401.16822 (2024)
[3] Wei Zhang, Miaoxin Cai, Tong Zhang, Guoqiang Lei, Yin Zhuang, Xuerui Mao: Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery, CoRR abs/2403.03790 (2024)
[4] Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, et al.: P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification, Remote. Sens. 15(7): 1773 (2023)
[5] Yute Li, He Chen, Shan Dong, Yin Zhuang, Lianlin Li: Multi-Temporal SamplePair Generation for Building Change Detection Promotion in Optical Remote Sensing Domain Based on Generative Adversarial Network, Remote. Sens. 15(9): 2470 (2023)
[6] Tong Zhang, Yin Zhuang, He Chen, Liang Chen, Guanqun Wang, Peng Gao, Hao Dong: Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for Remote Sensing Object Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5013-5025 (2023)
[7] Shan Dong, Yin Zhuang, He Chen, et al. : Full Semantic Constructed Network for Urban Use Classification From Very High-Resolution Optical Remote Sensing Imagery IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023)
[8] Tong Zhang, Yin Zhuang, He Chen, Guanqun Wang, Lihui Ge, Liang Chen, Hao Dong, Lianlin Li: Posterior Instance Injection Detector for Arbitrary-Oriented Object Detection From Optical Remote-Sensing Imagery, IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023)
[9] Y. Zhuang, Y. Liu, T. Zhang and H. Chen, "Contour Modeling Arbitrary-Oriented Ship Detection From Very High-Resolution Optical Remote Sensing Imagery," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023
[10] Can Li, He Chen, Yin Zhuang, et al. : Uncertainty-Aware Dynamic Learning for Cross-Domain Few-Shot Scene Classification from Remote Sensing Imagery, IGARSS 2023: 5778-5781.
[11] Yuqing Liu, Tong Zhang, Yin Zhuang, Guanqun Wang, He Chen et al.: Multi-Grained Global-Local Semantic Feature Fusion for Few Shot Remote Sensing Scene Classification, IGARSS 2023: 6235-6238.
[12] Yongjing Cui, Yin Zhuang, Shan Dong, Xinyi Zhang, Peng Gao, He Chen, Liang Chen: Hybrid Transformer Network for Change Detection Under Self-Supervised Pretraining, IGARSS 2023: 6652-6655.
[13] Hailin Du, Yin Zhuang, Shan Dong, Can Li, He Chen, Boya Zhao, Liang Chen: Bilateral Semantic Fusion Siamese Network for Change Detection From Multitemporal Optical Remote Sensing Imagery, IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022).
[14] Can Li, Yin Zhuang, Wenchao Liu, Shan Dong, Hailin Du, He Chen, Boya Zhao: Effective Multiscale Residual Network With High-Order Feature Representation for Optical Remote Sensing Scene Classification, IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022).
[15] Yupei Wang, Hao Shi, Shan Dong, Yin Zhuang, Liang Chen: Dual-Path Sparse Hierarchical Network for Semantic Segmentation of Remote Sensing Images, IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022).
[16] Jianhao Li, Yin Zhuang, Shan Dong, Peng Gao, Hao Dong, He Chen, Liang Chen, Lianlin Li: Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery, Remote. Sens. 14(7): 1767 (2022).
[17] Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, et al. : Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain, Remote. Sens. 14(22): 5675 (2022)
[18] Guanqun Wang, Yin Zhuang, He Chen, Xiang Liu, Tong Zhang, Lianlin Li, Shan Dong, Qianbo Sang: FSoD-Net: Full-Scale Object Detection From Optical Remote Sensing Imagery, IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022).
[19] Tong Zhang, Yin Zhuang, Guanqun Wang, et al. : Multiscale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery, IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022).
[20] Shanjunyu Liu, Yin Zhuang, Hao Dong, Peng Gao, et al. : Adaptive Local Context Embedding for Small Vehicle Detection from Aerial Optical Remote Sensing Images, IGARSS 2022: 1712-1715.
[21] Xiang Liu, Yin Zhuang, He Chen, et al. : Task-Driven Regional Saliency Analysis Based on a Global-Local Feature Assembly Network in Complex Optical Remote Sensing Scenes, IEEE Geosci. Remote. Sens. Lett. 18(9): 1655-1659 (2021).
[22] Xiang Liu, Yin Zhuang, He Chen, et al. : Task-Driven Regional Saliency Analysis Based on a Global-Local Feature Assembly Network in Complex Optical Remote Sensing Scenes, IEEE Geosci. Remote. Sens. Lett. 18(9): 1655-1659 (2021).
[23] Qianbo Sang, Yin Zhuang, Shan Dong, et al., Lianlin Li: Improved Land Cover Classification of VHR Optical Remote Sensing Imagery Based Upon Detail Injection Procedure, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 18-31 (2021).
[24] Qianbo Sang, Yin Zhuang, Shan Dong, Guanqun Wang, He Chen: FRF-Net: Land Cover Classification From Large-Scale VHR Optical Remote Sensing Images, IEEE Geosci. Remote. Sens. Lett. 17(6): 1057-1061 (2020).
[25] Shan Dong, Yin Zhuang, Zhanxin Yang, et al. : Land Cover Classification From VHR Optical Remote Sensing Images by Feature Ensemble Deep Learning Network, IEEE Geosci. Remote. Sens. Lett. 17(8): 1396-1400 (2020).
[26] Yin Zhuang, Lianlin Li, He Chen: Small Sample Set Inshore Ship Detection From VHR Optical Remote Sensing Images Based on Structured Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2145-2160 (2020).
[27] Yupei Wang, Hao Shi, Yin Zhuang, Qianbo Sang, Liang Chen: Bidirectional Grid Fusion Network for Accurate Land Cover Classification of High-Resolution Remote Sensing Images, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5508-5517 (2020)
[28] Tong Zhang, Guanqun Wang, Yin Zhuang, He Chen, Hao Shi, Liang Chen: Feature Enhanced Centernet for Object Detection in Remote Sensing Images, IGARSS 2020: 1639-1642.
[29] Baogui Qi, Yin Zhuang, He Chen, Shan Dong, Lianlin Li: Fusion Feature Multi-Scale Pooling for Water Body Extraction from Optical Panchromatic Images, Remote. Sens. 11(3): 245 (2019).
[30] Shan Dong, Long Pang, Yin Zhuang, Wenchao Liu, Zhanxin Yang, Teng Long: Optical Remote Sensing Water-Land Segmentation Representation Based on Proposed SNS-CNN Network, IGARSS 2019: 3895-3898.
[31] Yin Zhuang, Baogui Qi, He Chen, Fukun Bi, Lianlin Li, Yizhuang Xie: Locally Oriented Scene Complexity Analysis Real-Time Ocean Ship Detection from Optical Remote Sensing Images, Sensors 18(11): 3799 (2018);
[32] Yiding Yang, Yin Zhuang, Fukun Bi, Hao Shi, Yizhuang Xie: M-FCN: Effective Fully Convolutional Network-Based Airplane Detection Framework, IEEE Geosci. Remote. Sens. Lett. 14(8): 1293-1297 (2017)
[33] Yin Zhuang, Penglin Wang, Yiding Yang, et al. : Harbor Water Area Extraction From Pan-Sharpened Remotely Sensed Images Based on the Definition Circle Model, IEEE Geosci. Remote. Sens. Lett. 14(10): 1690-1694 (2017).

国家基金委“眼神杯”遥感图像细数表征检测比赛三等奖（2017）