PASNET: A Self-AdaPtive Point Cloud Sorting APProach to an ImProved Feature Extraction. - Nuo Cheng; Xiaohan Li; Han Li; Xiaotong Liu; Chuanyu Luo; Shengguang Lei; Pu Li 001 (ICIP, 2022)

MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds. - Chuanyu Luo; Xiaohan Li; Nuo Cheng; Han Li; Shengguang Lei; Pu Li 001 (J. WSCG, 2022)

PSCO: A Point Cloud Scene Classification Model Based on Contrast Learning. - Nuo Cheng; Xiaohan Li; Chuanyu Luo; Xiaotong Liu; Han Li; Shengguang Lei; Pu Li 001 (ICIP, 2023)

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)

3D Object Visibility Prediction in Autonomous Driving. - Chuanyu Luo; Nuo Cheng; Ren Zhong; Haipeng Jiang; Wenyu Chen; Aoli Wang; 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)