本人长期从事卫星遥感与人工智能交叉领域的研究，聚焦静止气象卫星云物理特性的智能反演与应用。主要研究兴趣包括：静止卫星云遥感；深度学习；图像处理等。

主要研究成果：

(1) Guo, Bin; Zhang, Feng; Zhao, Zhijun; Guo, Jinyu; Li, Wenwen; Retrieval of Cloud Macro Physical Properties Using theFY-4A Advanced Geostationary Radiation Imager (AGRI) and the Geostationary Interferometric Infrared Sounder (GIIRS), Geophysical Research Letters, 2024, 51(24): e2024GL109772

(2) Guo, Bin; Zhang, Feng; Li, Wenwen; Zhao, Zhijun; Cloud Classification by Machine Learning for Geostationary Radiation Imager, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62: 4102814

(3) Guo, Bin; Wang, Yaqiang; Zhang, Xiaoye; Che, Huizheng; Zhong, Junting; Chu, Yangxi; Cheng, Linjun; Temporal and spatial variations of haze and fog and the characteristics of PM2.5 during heavy pollution episodes in China from 2013 to 2018, ATMOSPHERIC POLLUTION RESEARCH, 2020, 11(10): 1847-1856     

(4) Fu, Haoyang; Zhang, Feng; Guo, Bin; Li, Wenwen; Supercooled Water Cloud Identification From Geostationary Satellite Thermal Infrared Observations and Its Application in the Sun Glint Region, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62: 4110210

(5) Li, Wenwen; Zhang, Feng; Guo, Bin; Fu, Haoyang; Letu, Husi; Physics-Driven Machine Learning Algorithm Facilitates Multilayer Cloud Property Retrievals From Geostationary Passive Imager Measurements, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62: 5404618