LO-Net: Deep Real-Time Lidar Odometry. - Qing Li 032; Shaoyang Chen; Cheng Wang 003; Xin Li 003; Chenglu Wen; Ming Cheng 002; Jonathan Li 001 (CVPR, 2019)

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. - Wenkai Han; Chenglu Wen; Cheng Wang 003; Xin Li 003; Qing Li 032 (AAAI, 2020)

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds. - Hai Wu; Qing Li 032; Chenglu Wen; Xin Li 003; Xiaoliang Fan; Cheng Wang 003 (IJCAI, 2021)

FeatFlow: Learning geometric features for 3D motion estimation. - Qing Li 032; Cheng Wang 003; Xin Li 003; Chenglu Wen (Pattern Recognit., 2021)

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. - Qing Li 032; Yu-Shen Liu; Jin-San Cheng; Cheng Wang 003; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (CVPR, 2023)

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (SIGGRAPH Asia, 2023)

DeepSIR: Deep semantic iterative registration for LiDAR point clouds. - Qing Li 032; Cheng Wang 003; Chenglu Wen; Xin Li 003 (Pattern Recognit., 2023)

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering. - Qing Li 032; Huifang Feng 002; Xun Gong; Yu-Shen Liu (CoRR, 2025)