Dening Lu

According to our database, Dening Lu authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Nan Chen, Hongjie He, Linlin Xu, Jonathan Li

CoRR, March, 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, Nan Chen, Hongjie He, Linlin Xu, Jonathan Li

CoRR, February, 2025

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting.

Kyle Gao, Liangzhi Li, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li

CoRR, January, 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, Zheng Gong

IEEE Trans. Geosci. Remote. Sens., 2025

3DLST: 3D Learnable Supertoken Transformer for LiDAR point cloud scene segmentation.

Dening Lu, Linlin Xu, Jun Zhou, Kyle (yilin) Gao, Jonathan Li

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

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, Nan Chen, Hongjie He, Jing Du, Linlin Xu, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

SimLOG: Simultaneous Local-Global Feature Learning for 3D Object Detection in Indoor Point Clouds.

Mingqiang Wei, Baian Chen, Liangliang Nan, Haoran Xie, Lipeng Gu, Dening Lu, Fu Lee Wang, Qing Li

IEEE Trans. Intell. Transp. Syst., December, 2024

3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation.

Dening Lu, Kyle Gao, Qian Xie, Linlin Xu, Jonathan Li

IEEE Trans. Geosci. Remote. Sens., 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

Efficient Point Transformer with Dynamic Token Aggregating for Point Cloud Processing.

Dening Lu, Jun Zhou, Kyle Gao, Linlin Xu, Jonathan Li

CoRR, 2024

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation.

Dening Lu, Jun Zhou, Kyle Gao, Linlin Xu, Jonathan Li

CoRR, 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

CoRR, 2024

Dynamic clustering transformer network for point cloud segmentation.

Dening Lu, Jun Zhou, Kyle Yilin Gao, Jing Du, Linlin Xu, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

Dynamic Clustering Transformer Network for Point Cloud Segmentation.

Dening Lu, Jun Zhou, Kyle Yilin Gao, Dilong Li, Jing Du, Linlin Xu, Jonathan Li

CoRR, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches.

Anyi Huang, Qian Xie, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang

Comput. Graph. Forum, October, 2022

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification.

Dening Lu, Qian Xie, Kyle Gao, Linlin Xu, Jonathan Li

IEEE Trans. Intell. Transp. Syst., 2022

Integrated Circuit Gold Wire Bonding Measurement Via 3-D Point Cloud Deep Learning.

Qian Xie, Kun Long, Dening Lu, Dawei Li, Yuan Zhang, Jun Wang

IEEE Trans. Ind. Electron., 2022

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review.

Kyle Gao, Yina Gao, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li

CoRR, 2022

3DPCT: 3D Point Cloud Transformer with Dual Self-attention.

Dening Lu, Kyle Gao, Qian Xie, Linlin Xu, Jonathan Li

CoRR, 2022

3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning.

Baian Chen, Liangliang Nan, Haoran Xie, Dening Lu, Fu Lee Wang, Mingqiang Wei

CoRR, 2022

Transformers in 3D Point Clouds: A Survey.

Dening Lu, Qian Xie, Mingqiang Wei, Linlin Xu, Jonathan Li

CoRR, 2022

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification.

Dening Lu, Qian Xie, Linlin Xu, Jonathan Li

CoRR, 2022

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

IEEE Access, 2022

2021

RRCNet: Rivet Region Classification Network for Rivet Flush Measurement Based on 3-D Point Cloud.

Qian Xie, Dening Lu, Anyi Huang, Jianping Yang, Dawei Li, Yuan Zhang, Jun Wang

IEEE Trans. Instrum. Meas., 2021

Part-in-whole point cloud registration for aircraft partial scan automated localization.

Qian Xie, Yiming Zhang, Xuanming Cao, Yabin Xu, Dening Lu, Honghua Chen, Jun Wang

Comput. Aided Des., 2021

VENet: Voting Enhancement Network for 3D Object Detection.

Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Tunnel Deformation Inspection via Global Spatial Axis Extraction from 3D Raw Point Cloud.

Cheng Yi, Dening Lu, Qian Xie, Jinxuan Xu, Jun Wang

Sensors, 2020

Aircraft Skin Rivet Detection Based on 3D Point Cloud via Multiple Structures Fitting.

Qian Xie, Dening Lu, Kunpeng Du, Jinxuan Xu, Jiajia Dai, Honghua Chen, Jun Wang

Comput. Aided Des., 2020

Deep feature-preserving normal estimation for point cloud filtering.

Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang

Comput. Aided Des., 2020

2019

Hierarchical tunnel modeling from 3D raw LiDAR point cloud.

Cheng Yi, Dening Lu, Qian Xie, Shuya Liu, Hu Li, Mingqiang Wei, Jun Wang

Comput. Aided Des., 2019