PST-NET: Point Cloud Sampling via Point-Based Transformer. - Xu Wang 053; Yi Jin 001; Yigang Cen; Congyan Lang; Yidong Li (ICIG (3), 2021)

Attention Models for Point Clouds in Deep Learning: A Survey. - Xu Wang 053; Yi Jin 001; Yigang Cen; Tao Wang 011; Yidong Li (CoRR, 2021)

Boundary Corrected Multi-Scale Fusion Network for Real-Time Semantic Segmentation. - Tianjiao Jiang; Yi Jin 001; Tengfei Liang; Xu Wang 053; Yidong Li (ICIP, 2022)

VSLN: View-aware sphere learning network for cross-view vehicle re-identification. - Xu Wang 053; Yi Jin 001; Chenning Li; Yigang Cen; Yidong Li (Int. J. Intell. Syst., 2022)

RS-TNet: point cloud transformer with relation-shape awareness for fine-grained 3D visual processing. - Xu Wang 053; Yuqiao Zeng; Yi Jin 001; Yigang Cen; Baifu Liu; Shaohua Wan 001 (Soft Comput., 2023)

Enhancing Point Cloud Sampling Quality with Dual-Branch Fusion Networks. - Yi Jin 001; Xu Wang 053; Mengxia Hu; Hui Yu 001; Yidong Li; Tao Wang 011; Songhe Feng; Congyan Lang (SMC, 2024)

LighTN: Light-Weight Transformer Network for Performance-Overhead Tradeoff in Point Cloud Downsampling. - Xu Wang 053; Yi Jin 001; Yigang Cen; Tao Wang 011; Bowen Tang 001; Yidong Li (IEEE Trans. Multim., 2025)

V2PNet: A Voxel-to-Point Network Framework for Task-Oriented Point Cloud Sampling. - Xu Wang 053; Yi Jin 001; Yigang Cen; Yidong Li; Hui Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Visual perception-inspired 3D point cloud sampling. - Xu Wang 053; Yi Jin 001; Hui Yu 001; Yigang Cen; Yidong Li (Pattern Recognit., 2026)