梅少辉，长聘教授，博士生导师，陕西省信息获取与处理国际联合研究中心副主任，入选中组部国家级青年人才支持计划、2023全球前2%顶尖科学家榜单以及西北工业大学翱翔青年学者支持计划。

Details

主要从事高光谱遥感图像获取与处理、光电探测与对抗以及人工智能与机器学习等方面的研究。近五年主持国家自然科学基金和国防创新特区等国家级项目和国防创新类项目20余项，发表学术论文150多篇，包括IEEE TGRS、IEEE TIP以及PR等中科院TOP期刊论文30余篇，4篇论文入选ESI高被引论文，获得陕西省自然科学一等奖、陕西省优秀博士论文和陕西省科技进步二等奖以及国际会议IEEE ISPACS等多项奖励，担任国际顶级期刊IEEE TGRS编委、IEEE JSTARS编委、Agronomy编委以及JRS和图形图像学报青年编委。

学术成果： (代表论文,指导学生论文代表作)

截止目前，共发表学术论文150余篇，中科院TOP期刊论文30余篇，ESI高被引论文4篇。

第一作者代表论文：

• S. Mei, X. Chen, Y. Zhang, J. Li and A. Plaza, “Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5502012, doi: 10.1109/TGRS.2021.3058321. (中科院TOP期刊，ESI高被引论文)
• S. Mei, J. Ji, Y. Geng, Z. Zhang, X. Li and Q. Du, “Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 6808-6820, Sept. 2019, doi: 10.1109/TGRS.2019.2908756. (中科院TOP期刊，ESI高被引论文)(Code: https://github.com/MeiShaohui/3DCAE-hyperspectral-classification)
• S. Mei, J. Ji, J. Hou, X. Li and Q. Du, “Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 8, pp. 4520-4533, Aug. 2017, doi: 10.1109/TGRS.2017.2693346. (中科院TOP期刊，ESI高被引论文) (Code: https://github.com/MeiShaohui/Sensor-Specific-Hyperspectral-Image-Feature-Learning)
• S. Mei, Y. Geng, J. Hou, and Q. Du, “Learning hyperspectral images from RGB images via a coarse-to-fine CNN,” in Science China Information Sciences, 65: 152102, 2022. (ESI高被引论文)
• S. Mei, Ge Zhang, and et al., “Lightweight Multiresolution Feature Fusion Network for Spectral Super-Resolution,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5501414, doi: 10.1109/TGRS.2023.3234124.(中科院TOP期刊) 
• S. Mei, R. Jiang, M. Ma and C. Song, “Rotation-Invariant Feature Learning via Convolutional Neural Network With Cyclic Polar Coordinates Convolutional Layer,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023, Art no. 5600713, doi: 10.1109/TGRS.2022.3233726.(中科院TOP期刊) 
• S. Mei, X. Li, X. Liu, H. Cai and Q. Du, “Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5509612, doi: 10.1109/TGRS.2021.3102034. (中科院TOP期刊) 
•  S. Mei, M. Ma, S. Wan, J. Hou, Z. Wang and D. D. Feng, “Patch Based Video Summarization With Block Sparse Representation,” in IEEE Transactions on Multimedia, vol. 23, pp. 732-747, 2021, doi: 10.1109/TMM.2020.2987683.(中科院TOP期刊) 

指导学生发表高水平论文代表作：

• Y. Su, G. Zhang, S. Mei*, J. Lian, Y. Wang and S. Wan, “Reconstruction-Assisted and Distance-Optimized Adversarial Training: A Defense Framework for Remote Sensing Scene Classification,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023, Art no. 5624613, doi: 10.1109/TGRS.2023.3328889.(中科院TOP期刊) 
• Y. Liu, Y. Zhang, Y. Wang and S. Mei*, “Rethinking Transformers for Semantic Segmentation of Remote Sensing Images,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 5617515, doi: 10.1109/TGRS.2023.3302024.(中科院TOP期刊) 
• J. Lian, X. Wang, Y. Su, M. Ma and S. Mei*, “CBA: Contextual Background Attack Against Optical Aerial Detection in the Physical World,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023, Art no. 5606616, doi: 10.1109/TGRS.2023.3264839.(中科院TOP期刊) 
•  M. Ma, S. Mei*, F. Li, Y. Ge and Q. Du, “Spectral Correlation-Based Diverse Band Selection for Hyperspectral Image Classification,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023, Art no. 5508013, doi: 10.1109/TGRS.2023.3263580.(中科院TOP期刊) 
• J. Lian, S. Mei*, S. Zhang and M. Ma, “Benchmarking Adversarial Patch Against Aerial Detection,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5634616, doi: 10.1109/TGRS.2022.3225306.(中科院TOP期刊) 
• B. Xie, Y. Zhang, S. Mei*, G. Zhang, Y. Feng and Q. Du, “Spectral Variation Augmented Representation for Hyperspectral Imagery Classification With Few Labeled Samples,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5543212, doi: 10.1109/TGRS.2022.3220579.(中科院TOP期刊) 
• G. Zhang, S. Mei*, B. Xie, and et al., “Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5527413, doi: 10.1109/TGRS.2022.3169228.(中科院TOP期刊) 
• M. Ma, S. Mei*, S. Wan, Z. Wang, D. D. Feng and M. Bennamoun, “Similarity Based Block Sparse Subset Selection for Video Summarization,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 10, pp. 3967-3980, Oct. 2021, doi: 10.1109/TCSVT.2020.3044600.(中科院TOP期刊) 
• R. Jiang, S. Mei*, M. Ma and S. Zhang, “Rotation-Invariant Feature Learning in VHR Optical Remote Sensing Images via Nested Siamese Structure With Double Center Loss,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3326-3337, April 2021, doi: 10.1109/TGRS.2020.3021283.(中科院TOP期刊) 
• M. Ma, S. Mei*, S. Wan, and et al., “Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection,” in IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 5, pp. 1686-1698, May 2021, doi: 10.1109/JBHI.2020.3019198.(中科院TOP期刊)