IntroductionLi Wenjing, female, associate professor, has been teaching at the Institut des Engineers Curie in Paris, Beijing University of Chemical Technology, since 2018, mainly teaching basic physics courses, serving as the head of the basic physics course and the head of the fundamental physics laboratory. The main course has won the Beijing high-quality undergraduate course, and I have won the second prize of the Beijing Excellent Professional Course Teaching Competition, the second prize of the Young Teachers Teaching Basic Skills Competition of Beijing University of Chemical Technology, the second prize of the Teaching Innovation Competition of Beijing University of Chemical Technology, and the winning award of the National Teaching Innovation Competition. He has presided over and participated in a number of provincial and ministerial education reform projects and school-level education reform projects. Pay attention to the cultivation of students' comprehensive innovation ability, and guide students to participate in Daiso projects, challenge cups and physics competitions, etc., and achieve good results. Care about the personal growth of students and set a good example for students. EducationWork ExperienceSocial PositionSocial ActivitiesResearchEngaged in research related to laser-induced nucleation and microwave remote sensing. TeachingResponsible for teaching theoretical and experimental physics courses, including <Principles of Electric Circuits> and <Mechanics>. PostgraduatesFundingParticipated in the National Natural Science Foundation of China (NSFC) Project: “Transfer Metric Learning-Based Ship Type Recognition Method for Synthetic Aperture Radar (SAR) Images” Vertical ProjectHorizontal ProjectPublicationsLi Wenjing. Research on Imaging Methods for Synthetic Aperture Radar Deep Expansion Network. [J]. Science and Technology Information, 2025, 23(1): 39-42. DOI: 10.16661/j.cnki.1672-3791.2406-5042-8873. Zhao，S.; Xu，Y.; Li，W.，and Lang， H.， 2020. Optical remote sensing ship image classification based on deep feature combined distance metric learning. Advances in Geospatial Research of Coastal Environments.Journal of Coastal Research，Special Issue No. 102， pp. 82－87. Coconut Creek (Florida)，ISSN 0749－0208. (co-corresponding author)； Lang，H; Ge C; Li W; An improved dark spot segmentation based on non－circularity enhanced SAR imagery－A preliminary exploration，IGARSS 2021－2021 IEEE International Geoscience and Remote Sensing Symposium(co-corresponding author)； AwardsBeijing Municipal Outstanding Lecturer in Specialized Courses Special Award for Excellence in Educational Innovation of BUCT Outstanding Young Lecturer of BUCT Outstanding Teacher Award of BUCT PatentHonor RewardAdmissions Information |