MVF-CNN: Fusion of Multilevel Features for Large-Scale Point Cloud Classification. - Yong Li 028; Guofeng Tong; Xingang Li; Liqiang Zhang 001; Hao Peng 005 (IEEE Access, 2019)

3D Object Detection Combining Semantic and Geometric Features from Point Clouds. - Hao Peng 005; Guofeng Tong; Zheng Li; Yaqi Wang; Yuyuan Shao (CoRR, 2021)

Mining local geometric structure for large-scale 3D point clouds semantic segmentation. - Yuyuan Shao; Guofeng Tong; Hao Peng 005 (Neurocomputing, 2022)

ASCNet: 3D object detection from point cloud based on adaptive spatial context features. - Guofeng Tong; Hao Peng 005; Yuyuan Shao; Qijun Yin; Zheng Li (Neurocomputing, 2022)

Multi-Source Features Fusion Single Stage 3D Object Detection With Transformer. - Guofeng Tong; Zheng Li; Hao Peng 005; Yaqi Wang (IEEE Robotics Autom. Lett., 2023)

3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation. - Hao Peng 005; Guofeng Tong; Yuyuan Shao (IEEE Trans. Intell. Transp. Syst., 2023)

Class-Aware 3D Detector From Point Clouds With Partial Knowledge Diffusion and Center-Weighted IoU. - Hao Peng 005; Guofeng Tong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning local contextual features for 3D point clouds semantic segmentation by attentive kernel convolution. - Guofeng Tong; Yuyuan Shao; Hao Peng 005 (Vis. Comput., 2024)

Exploring high-contrast areas context for 3D point cloud segmentation via MLP-driven Discrepancy mechanism. - Yuyuan Shao; Guofeng Tong; Hao Peng 005 (Comput. Graph., 2025)