A Graph-Voxel Joint Convolution Neural Network for ALS Point Cloud Segmentation. - Jinming Zhang; Xiangyun Hu; Hengming Dai (IEEE Access, 2020)

DEM Extraction from ALS Point Clouds in Forest Areas via Graph Convolution Network. - Jinming Zhang; Xiangyun Hu; Hengming Dai; ShenRun Qu (Remote. Sens., 2020)

Progress Guidance Representation for Robust Interactive Extraction of Buildings from Remotely Sensed Images. - Zhen Shu; Xiangyun Hu; Hengming Dai (Remote. Sens., 2021)

Unsupervised Learning of ALS Point Clouds for 3-D Terrain Scene Clustering. - Jinming Zhang; Xiangyun Hu; Hengming Dai (IEEE Geosci. Remote. Sens. Lett., 2022)

Robust Extraction of Vectorized Buildings via Bidirectional Tracing of Keypoints From Remotely Sensed Imagery. - Zhen Shu; Xiangyun Hu; Hengming Dai; Lunhao Duan; Zhili Zhang; Lin Zhang; Litong Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction. - Hengming Dai; Xiangyun Hu; Zhen Shu; Nannan Qin; Jinming Zhang (Remote. Sens., 2023)

Spatial Incremental Sampling for Active-Learning-Based Airborne Laser Scanning Point Cloud Segmentation. - Hengming Dai; Zhifang Zhao (SmartIoT, 2024)

Large-Scale ALS Point Cloud Segmentation via Projection-Based Context Embedding. - Hengming Dai; Xiangyun Hu; Jinming Zhang; Zhen Shu; Jiabo Xu; Juan Du (IEEE Trans. Geosci. Remote. Sens., 2024)

SCREAM: SCene REndering Adversarial Model for Low-and-Non-Overlap Point Cloud Registration. - Jiabo Xu; Hengming Dai; Xiangyun Hu; Shichao Fan; Tao Ke (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep projective prediction of building facade footprints from ALS point cloud. - Hengming Dai; Jiabo Xu; Xiangyun Hu; Zhen Shu; Wei Ma; Zhifang Zhao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

High-quality one-shot interactive segmentation for remote sensing images via hybrid adapter-enhanced foundation models. - Zhili Zhang; Xiangyun Hu; Yue Yang; Bingnan Yang; Kai Deng; Hengming Dai; Mi Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2025)