代表性论文1，Wang Lukang, Zhang Min, & Shi Wenzhong. CS-WSCDNet: Class Activation Mapping and Segment Anything Model-based Framework for Weakly Supervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023, DOI: 10.1109/TGRS.2023.3330479.
代表性论文2，Wang Lukang, Zhang Min, Shen Xiaoqi, & Shi Wenzhong. Landslide Mapping Using Multilevel-Feature-Enhancement Change Detection Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, DOI: 10.1109/JSTARS.2023.3245062.
代表性论文3，Wang Lukang, Zhang Min, & Shi Wenzhong. STCRNet: A Semi-Supervised Network Based on Self-Training and Consistency Regularization for Change Detection in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, DOI: 10.1109/JSTARS.2023.3345017.
代表性论文4，Wang Lukang, Li Yue, Zhang Min, Shen Xiaoqi, Peng Wenguang, & Shi Wenzhong. MSFF-CDNet: A Multiscale Feature Fusion Change Detection Network for Bi-Temporal High-Resolution Remote Sensing Image. IEEE Geoscience and Remote Sensing Letters, 2023, DOI: 10.1109/LGRS.2023.3305623.
代表性论文5，Wang Lukang, Zhang Min, Gao Xu, & Shi Wenzhong. Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms. Remote Sensing, 2024, DOI: 10.3390/rs16050804.
代表性论文6，Peng Wenguang, Shi Wenzhong, Zhang Min, & Wang Lukang. FDA-FFNet: A Feature-Distance Attention-Based Change Detection Network for Remote Sensing Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, DOI: 10.1109/JSTARS.2023.3344633.
代表性论文7，Shen Xiaoqi, Shi Wenzhong, Chen Pengfei, Liu Zhewei, & Wang Lukang. Novel model for predicting individuals’ movements in dynamic regions of interest, GIScience & Remote Sensing, 2022, DOI: 10.1080/15481603.2022.2026637.
代表性论文8，Shen Xiaoqi, Shi Wenzhong, Liu Zhewei, Zhang Anshu, Wang Lukang, & Zeng Fanxin. Extracting Human Activity Areas from Large-Scale Spatial Data with Varying Densities. ISPRS International Journal of Geo-Information, 2022, DOI: 10.3390/ijgi11070397.
