A Simulation Model Validation Method Based on Functional Data Analysis. - Congmin Li; Jiangyun Wang; Liang Han; Dezhi Dong (AsiaSim (1), 2012)

Deep feature representations for high-resolution remote-sensing imagery retrieval. - Weixun Zhou; Congmin Li (CoRR, 2016)

Using sunflower metaphor to reduce clutter of scatterplot. - Congmin Li; Jie Li 006 (VINCI, 2017)

PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval. - Weixun Zhou; Shawn D. Newsam; Congmin Li; Zhenfeng Shao (CoRR, 2017)

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval. - Weixun Zhou; Shawn D. Newsam; Congmin Li; Zhenfeng Shao (Remote. Sens., 2017)

An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land. - Zhenfeng Shao; Congmin Li; Deren Li; Orhan Altan; Lei Zhang 141; Lin Ding 003 (ISPRS Int. J. Geo Inf., 2020)

A Comparative Analysis of Index-Based Methods for Impervious Surface Mapping Using Multiseasonal Sentinel-2 Satellite Data. - Congmin Li; Zhenfeng Shao; Lei Zhang 141; Xiao Huang 003; Ming Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Cascaded embedded-FPN: A cross-modality multi-scale feature fusion network for varied-sized objects semantic segmentation. - Yu Chen; Xiang Li; Chao Luan; Congmin Li; Jianfeng Ma 001; Jianqi Zhang; Delian Liu; Xin Wu; Linfang Wei (Neurocomputing, 2025)