LEST: Large-scale LiDAR Semantic Segmentation with Transformer. - Chuanyu Luo; Nuo Cheng; Sikun Ma; Han Li; Xiaohan Li; Shengguang Lei; Pu Li 001 (CoRR, 2023)

Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception. - Chuanyu Luo; Nuo Cheng; Sikun Ma; Jun Xiang; Xiaohan Li; Shengguang Lei; Pu Li 001 (CoRR, 2023)

mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-time 3D Environment Perception. - Chuanyu Luo; Nuo Cheng; Sikun Ma; Jun Xiang; Xiaohan Li; Shengguang Lei; Pu Li 001 (IROS, 2024)

Rethinking Masked-Autoencoder-Based 3D Point Cloud Pretraining. - Nuo Cheng; Chuanyu Luo; Xinzhe Li; Ruizhi Hu; Han Li; Sikun Ma; Zhong Ren; Haipeng Jiang; Xiaohan Li; Shengguang Lei; Pu Li 001 (IV, 2024)

CLF3D: A Coarse-Labeling Framework to Facilitate 3D Object Detection in Point Clouds. - Nuo Cheng; Chuanyu Luo; Han Li; Sikun Ma; Shengguang Lei; Pu Li 001 (IEEE Access, 2025)

LSV-MAE: A Masked-Autoencoder Pre-Training Approach for Large-Scale 3D Point Cloud Data. - Nuo Cheng; Chuanyu Luo; Han Li; Sikun Ma; Shengguang Lei; Pu Li 001 (IEEE Access, 2025)

LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture. - Chuanyu Luo; Nuo Cheng; Sikun Ma; Han Li; Xiaohan Li; Shengguang Lei; Pu Li 001 (IEEE Access, 2025)