尚晓笛，女，1994年3月生，山东潍坊人。中共党员，副教授，硕士研究生导师，青岛大学特聘教授，山东省青创科技计划创新团队负责人。主持国家自然科学基金青年项目1项、中国博士后科学基金面上项目1项、青岛市自然科学基金青年项目1项、青岛市博士后基金项目（一等）1项。获辽宁省优秀博士学位论文、ACM青岛新星奖、山东省高校青年教师教学比赛优秀奖。

在IEEE TGRS，IEEE GRSL，IEEE JSTARS等期刊和学术会议上发表学术论文40余篇。其中，以第一/通讯作者发表SCI论文20余篇，EI论文10余篇，ESI高被引论文1篇；申请国家发明专利12项，授权8项，成果转化1项；担任IEEE TGRS，IEEE JSTARS等国际遥感主流期刊审稿人。

研究方向：高光谱遥感图像处理与信息提取、机器学习

联系方式：shangxd@qdu.edu.cn

硕士研究生：招收计算机科学与技术、人工智能专业硕士，欢迎计算机科学与技术、软件工程、人工智能、数学等本科专业的同学报名联系！

大学生创新创业训练计划：对科研有较大的兴趣，自驱力较强，有一定的数学与编程基础！

主持的科研项目：

1. 山东省高等学校青创科技计划创新团队         2024.01-2026.12

2. 国家自然科学基金青年项目               2024.01-2026.12

3. 中国博士后科学基金面上项目              2023.07-2025.06

4. 青岛市自然科学基金青年项目(23-2-1-64-zyyd-jch) 2023.07-2025.06

5. 青岛市博士后基金项目(一等)              2023.2-2025.01

代表性论文： 

1.  J. Zhang, J. Wang, D. Li, J. Zhang, X. Sun and X. Shang*, Hyperspectral Band Selection with Dynamic Graph Enhancement and Hierarchical Feature Fusion, IEEE Transactions on Geoscience and Remote Sensing, 2026. (中科院1区，Top期刊)

2.  L. Kong, X. Sun, Z. Zhao, J. Zhang and X. Shang*, PGSMC: Prototype-Guided Supervised Momentum Contrastive Learning for Hyperspectral Cross-Domain Few-Shot Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, 2025. (中科院1区，Top期刊)

3.  S. Li, X. Sun, L. Kong, J. Zhang and X. Shang*, GATformer-Transformer-Based Progressive Triplet Network for Hyperspectral Target Detection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 2134-2148, 2026.

4.  L. Kong, X. Sun, J. Zhang, X. Wang and X. Shang*, JDAWSL: Joint Domain Adaptation With Weight Self-Learning for Hyperspectral Few-Shot Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 21476-21493, 2025.

5.  X. Shang, C. Cui, X. Sun, X. Wang and J. Zhang, Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 13733-13754, 2025.

6.  D. Yan, X. Sun, J. Zhang and X. Shang*, Dual-View Structural Similarity Subspace Clustering for Hyperspectral Band Selection, IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1-5, 2025. 2025.

7.  Y. Guo, X. Zhao, X. Sun, J. Zhang and X. Shang*, Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 14050-14063, 2024.

8.  B. Fu, X. Sun, C. Cui, J. Zhang and X. Shang*, Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 12490-12504, 2024.

9.  X. Shang, M. Song and C. Chang, Multispatial Filtering Module Cascaded System for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp.1-12, 2022. (中科院1区，Top期刊)

10.  X. Shang, M. Song, Y. Wang, et al., Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, pp. 6044-6064, July 2021. (中科院1区，Top期刊，ESI高被引论文)

11.  M. Song, X. Shang* and C. Chang, 3-D Receiver Operating Characteristic Analysis for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 11, pp. 8093-8115, Nov. 2020. (中科院1区，Top期刊)

12.  M. Song, X. Shang*, Y. Wang, et al., Class Information-Based Band Selection for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 8394-8416, Nov. 2019. (中科院1区，Top期刊)