Hierarchical tunnel modeling from 3D raw LiDAR point cloud. - Cheng Yi; Dening Lu; Qian Xie 001; Shuya Liu; Hu Li; Mingqiang Wei; Jun Wang 039 (Comput. Aided Des., 2019)

Deep feature-preserving normal estimation for point cloud filtering. - Dening Lu; Xuequan Lu; Yangxing Sun; Jun Wang 039 (Comput. Aided Des., 2020)

Aircraft Skin Rivet Detection Based on 3D Point Cloud via Multiple Structures Fitting. - Qian Xie 001; Dening Lu; Kunpeng Du; Jinxuan Xu; Jiajia Dai; Honghua Chen; Jun Wang 039 (Comput. Aided Des., 2020)

Tunnel Deformation Inspection via Global Spatial Axis Extraction from 3D Raw Point Cloud. - Cheng Yi; Dening Lu; Qian Xie 001; Jinxuan Xu; Jun Wang 039 (Sensors, 2020)

VENet: Voting Enhancement Network for 3D Object Detection. - Qian Xie 001; Yu-Kun Lai; Jing Wu 004; Zhoutao Wang; Dening Lu; Mingqiang Wei; Jun Wang 039 (ICCV, 2021)

Part-in-whole point cloud registration for aircraft partial scan automated localization. - Qian Xie 001; Yiming Zhang; Xuanming Cao; Yabin Xu; Dening Lu; Honghua Chen; Jun Wang 039 (Comput. Aided Des., 2021)

RRCNet: Rivet Region Classification Network for Rivet Flush Measurement Based on 3-D Point Cloud. - Qian Xie 001; Dening Lu; Anyi Huang; Jianping Yang; Dawei Li 011; Yuan Zhang; Jun Wang 039 (IEEE Trans. Instrum. Meas., 2021)

Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset. - Kyle Gao; Hongjie He; Dening Lu; Linlin Xu; Lingfei Ma; Jonathan Li 001 (IEEE Access, 2022)

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. - Dening Lu; Qian Xie 001; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

Transformers in 3D Point Clouds: A Survey. - Dening Lu; Qian Xie 001; Mingqiang Wei; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning. - Baian Chen; Liangliang Nan; Haoran Xie 001; Dening Lu; Fu Lee Wang; Mingqiang Wei (CoRR, 2022)

3DPCT: 3D Point Cloud Transformer with Dual Self-attention. - Dening Lu; Kyle Gao; Qian Xie 001; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review. - Kyle Gao; Yina Gao; Hongjie He; Dening Lu; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

Integrated Circuit Gold Wire Bonding Measurement Via 3-D Point Cloud Deep Learning. - Qian Xie 001; Kun Long; Dening Lu; Dawei Li 011; Yuan Zhang; Jun Wang 039 (IEEE Trans. Ind. Electron., 2022)

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. - Dening Lu; Qian Xie 001; Kyle Gao; Linlin Xu; Jonathan Li 001 (IEEE Trans. Intell. Transp. Syst., 2022)

MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches. - Anyi Huang; Qian Xie 001; Zhoutao Wang; Dening Lu; Mingqiang Wei; Jun Wang 039 (Comput. Graph. Forum, 2022)

Tree Species Classfifcation Using Deep Learning Based 3d Point Cloud Transformer on Airborne Lidar Data. - Lanying Wang; Dening Lu; Weikai Tan; Yiping Chen; Jonathan Li 001 (IGARSS, 2023)

Dynamic Clustering Transformer Network for Point Cloud Segmentation. - Dening Lu; Jun Zhou; Kyle Yilin Gao; Dilong Li; Jing Du 007; Linlin Xu; Jonathan Li 001 (CoRR, 2023)

Dynamic clustering transformer network for point cloud segmentation. - Dening Lu; Jun Zhou; Kyle Yilin Gao; Jing Du 007; Linlin Xu; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery. - Kyle Gao; Dening Lu; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation. - Dening Lu; Jun Zhou; Kyle Gao; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

Efficient Point Transformer with Dynamic Token Aggregating for Point Cloud Processing. - Dening Lu; Jun Zhou; Kyle Gao; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. - Dening Lu; Shimon Schwartz; Linlin Xu; Mohammad Javad Shafiee; Norman G. Vinson; Krzysztof J. Czarnecki; Alexander Wong (Expert Syst. Appl., 2024)

3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation. - Dening Lu; Kyle Gao; Qian Xie 001; Linlin Xu; Jonathan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

SimLOG: Simultaneous Local-Global Feature Learning for 3D Object Detection in Indoor Point Clouds. - Mingqiang Wei; Baian Chen; Liangliang Nan; Haoran Xie 001; Lipeng Gu; Dening Lu; Fu Lee Wang; Qing Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Instructor-Worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Jing Du 007; Linlin Xu; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds. - Dening Lu; Linlin Xu; Jun Zhou; Kyle Gao; Zheng Gong; Dedong Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

3DLST: 3D Learnable Supertoken Transformer for LiDAR point cloud scene segmentation. - Dening Lu; Linlin Xu; Jun Zhou; Kyle (yilin) Gao; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Enhanced 3-D Urban Scene Reconstruction and Point Cloud Densification Using Gaussian Splatting and Google Earth Imagery. - Kyle Gao; Dening Lu; Hongjie He; Linlin Xu; Jonathan Li 001; Zheng Gong (IEEE Trans. Geosci. Remote. Sens., 2025)

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting. - Kyle Gao; Liangzhi Li 002; Hongjie He; Dening Lu; Linlin Xu; Jonathan Li 001 (CoRR, 2025)

Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2025)

Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2025)