房蓓，2019年毕业于西北工业大学计算机学院计算机科学与技术专业，博士学位。2017年至2018年在布鲁塞尔自由大学进行访问研究。现代教学技术教育部重点实验室副研究员，主要从事深度学习、数字图像处理、机器学习等方面的研究。

1.国家青年科学基金项目,主持

2.中国博士后科学基金面上资助二等, 主持

1.Bei Fang, Ying Li^*, Haokui Zhang, and Jonathan Cheung-Wai Chan, Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-supervised Classification with Limited Training Samples,ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 161: 164-178; doi:10.1016/j.isprsjprs.2020.01.015 (SCI 1区, IF: 7.319)（ESI高被引论文）.

2.Bei Fang, Yunpeng Bai, Ying Li^*, Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification,Remote Sensing, 2020, 12, 779; doi:10.3390/rs12050779 (SCI 2区, IF: 4.509).

3.Bei Fang, Ying Li^*, Haokui Zhang, Jonathan Cheung-Wai Chan, Hyperspectral Images Classification based on Dense Convolutional Networks with Spectral-wise Attention Mechanism,Remote Sensing, 2019, 11, 159; doi:10.3390/rs11020159(SCI 2区, IF: 4.509).（ESI高被引论文）

4.Bei Fang, Ying Li^*, Haokui Zhangand Jonathan Cheung-Wai Chan, Semi-Supervised Deep Learning Classification forHyperspectral Image Based on Dual-StrategySample Selection.Remote Sensing, 2018, 10, 574; doi: 10.3390/rs10040574 (SCI 2区, IF: 4.118)

5.Bei Fang, Ying Li^*, Peng Zhang, Bendu Bai, Kernel Sparse NMF for Hyperspectral Unmixing,2014 International Conference on Orange Technologies (ICOT 2014), Xi'an, China,2014-09-20至2014-09-23.

1.李映,房蓓,韩其倬,联合3D/2D卷积网络和自适应光谱解混的高光谱图像分类方法，申请公布号：CN110852369A.

2.李映,房蓓,张号逵,基于轻量化网络和半监督聚类的高光谱小样本分类算法，申请公布号：CN110009015A.

3.李映,房蓓,张号逵,基于多尺度稠密卷积神经网络和谱注意力机制的图像分类算法，申请公布号：CN109784347A.

4.李映,房蓓,基于核稀疏非负矩阵分解的高光谱图像非线性解混方法，授权公告号：CN104392243B，申请公布号：CN104392243A.

5.李映,贾雨,房蓓,胡杰,张艳宁,基于非下采样Contourlet变换和改进的总变分的图像增强方法,申请公布号: CN102637294A.