主要从事遥感影像智能理解和地理空间智能分析方面的理论、技术与应用研究。主持国家自然科学基金面上项目和青年项目各1项、国家重点研发计划子课题/子任务2项、四川省科技厅项目1项，以及应急减灾部、自然资源部等多个部委的行业应用项目。另作为核心研究人员参与国家973计划以及中国铁路总公司科技计划等国家级和省部级项目多项。在IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters，以及测绘学报等国内外知名学术期刊上发表学术论文30余篇，以第一发明人授权发明专利5项，同时担任ISPRS Journal of Photogrammetry and Remote Sensing 、IEEE  Transactions on Geoscience and Remote Sensing、Knowledge-Based Systems、Automation in Construction等30多个国内外知名学术期刊的审稿人。

以第一作者发表于测绘学报的论文入选2016年度“领跑者5000-中国精品科技期刊顶尖学术论文(F5000)”，团队研发的基于多尺度全卷积神经网络的地物分类模型在ISPRS官方2D影像语义标注大赛中总体精度位列第1名，研发的地表覆盖遥感分类技术在2023年国家航天局举办的首届高分对地观测应用技术创新大赛中获得培育奖，相关成果荣获中国大坝工程学会科技进步奖、中国商业联合会科学技术奖、中国测绘学会测绘科技技术奖、第三届“中国高分杯”数字公路大赛一等奖等。关于损毁建筑物和滑坡遥感智能解译的系列方法已在应急管理部国家减灾中心开展的金民工程系统人工智能平台上部署，并用于支撑减灾业务化应用。

[1]   Xin Yan, Li Shen*, Junjie Pan, Jicheng Wang, Chao Chen, Zhilin Li. ALNet: auxiliary learning based network for weakly supervised building extraction from high-resolution remote sensing images. IEEE Transactions on Remote Sensing, 2023. Doi: 10.1109/TGRS.2023.3314465. 

[2] Wenfan Qiao, Li Shen*, Jicheng Wang, Xiaotian Yang, Zhilin Li. A weakly supervised semantic segmentation approach for damage building extraction from post-earthquake high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 2023, 20, 6002705.

[3] Yuting Huang Bingxue Yuan, Xueqing Wang, Yongsheng Dai, Dongmei Wang, Zhengjun Gong, Junmin Chen, Li Shen*, Meikun Fan*, Zhilin Li. Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network. Water Research, 2023, 232, 119662.  (水环境领域顶刊-交叉学科)

[4] Yanshuai Dai, Kongyang Zhao, Li Shen*, Shichuan Liu, Xin Yan, Zhilin Li. A siamese network combining multi-scale joint supervision and improved consistency regularization for weakly supervised building change detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 4963-4982.

[5] Jicheng Wang, Xin Yan, Li Shen*, Tian Lan, Xunqiang Gong, Zhilin Li. Scale-invariant multi-level content aggregation network for weakly supervised building extraction. Remote Sensing, 2023: 15(5), 1432.

[6] Xin Yan, Li Shen*, Jicheng Wang, Yong Wang, Zhilin Li, Zhu Xu. PANet: Pixelwise affinity network for weakly supervised building extraction from high-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 6515905.

[7] Xin Yan, Li Shen*, Jicheng Wang, Xu Deng, Zhilin Li. MSG-SR-Net: A weakly supervised network integrating multi-scale generation and super-pixel refinement for building extraction from high-resolution remotely sensed imageries. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 1012-1023.

[8] Jicheng Wang, Li Shen*, Wenfan Qiao, Yanshuai Dai, Zhilin Li. Deep feature fusion with integration of residual connection and attention model for classification of VHR remote sensing images. Remote Sensing, 2019, 11(13): 1617.

[9] Li Shen*, Linmei Wu, Yanshuai Dai, Wenfan Qiao, Ying Wang. Topic modelling for object-based unsupervised classification of VHR panchromatic satellite images based on multiscale image segmentation. Remote Sensing, 2017, 9(8): 840.

[10] Yuanxin Ye, Li Shen*, Ming Hao, Zhu Xu. Robust optical-to-SAR image matching based on shape properties. IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 564-568.

[11] Li Shen, Hong Tang, Yunhao Chen, Adu Gong, Jing Li, Wenbin Yi.  A semisupervised latent Dirichlet alloction model for object-based classification of VHR panchromatic satellite images.. IEEE Geoscience and Remote Sensing Letters, 2014, 4(11): 863-867.

[12] Hong Tang, Li Shen, Yinfeng Qi, Yunhao Chen, Yang Shu, Jing Li, David A. Clausi. A multiscale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(3):1680-1692.

[13] 慎利, 徐柱, 李志林, 刘万增, 崔秉良. 从地理信息服务到地理知识服务: 基本问题与发展路径. 测绘学报, 2021, 50(9):1194-1202.

[14] 曹云刚, 王志盼, 慎利*, 肖雪, 杨磊. 像元与对象特征融合的高分辨率遥感影像道路中心线提取.测绘学报, 2016, 45(10):1231-1240.

[15] 慎利, 唐宏, 王世东, 张露. 结合空间像素模板和Adaboost算法的高分辨率遥感影像河流提取. 测绘学报, 2013, 4(3):344-350.

(1) 遥感影像智能解译

遥感影像分类、目标检测、变化检测等

(2) 资源环境遥感应用

遥感在高铁沿线安全隐患监测、减灾要素提取、固废监测、水体污染物溯源中的应用等