Seguir
Duanshun Li
Duanshun Li
Dirección de correo verificada de ualberta.ca
Título
Citado por
Citado por
Año
Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
D Li, A Cong, S Guo
Automation in Construction 101 (May 2019), 199-208, 2019
1552019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
S Chen, C Duan, Y Yang, D Li, C Feng, D Tian
IEEE Transactions on Image Processing, 2019
722019
Integrating geometric models, site images and GIS based on Google Earth and Keyhole Markup Language
D Li, M Lu
Automation in Construction 89, 317-331, 2018
432018
Tearingnet: Point cloud autoencoder to learn topology-friendly representations
J Pang, D Li, D Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
412021
Automated generation of work breakdown structure and project network model for earthworks project planning: a flow network-based optimization approach
D Li, M Lu
Journal of construction engineering and management 143 (1), 04016086, 2017
412017
Deep Learning-Based Decoding for Constrained Sequence Codes
C Cao, D Li, I Fair
IEEE Journal on Selected Areas in Communications, 2019
312019
Classical Planning Model-based Approach to Automating Construction Planning on Earthwork Projects
D Li, M Lu
Computer-Aided Civil and Infrastructure Engineering, 2018
182018
Primitive fitting using deep geometric segmentation
D Li, C Feng
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2019
122019
Optimizing Earthwork Hauling Plan With Minimum Cost Flow Network
D Li, C Liu, M Lu
Proceedings of 5th International/11th Construction Specialty Conference,© CSCE, 2015
102015
Large-scale data-driven airline market influence maximization
D Li, J Liu, J Jeon, S Hong, T Le, D Lee, N Park
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
82021
A novel method to solve neural knapsack problems
D Li, J Liu, D Lee, A Seyedmazloom, G Kaushik, K Lee, N Park
International Conference on Machine Learning, 6414-6424, 2021
82021
Modelling hauler movement in a distributed simulation of earthmoving operations
D Li, C Petre, C Kerr, T Joseph, S AbouRizk, Y Mohamed
International Journal of Service and Computing Oriented Manufacturing 2 (3-4 …, 2016
52016
Predicting influence probabilities using graph convolutional networks
J Liu, Y Chen, D Li, N Park, K Lee, D Lee
2019 IEEE International Conference on Big Data (Big Data), 860-869, 2019
42019
Method and apparatus for multi-model primitive fitting based on deep geometric boundary and instance aware segmentation
C Feng, D Li
US Patent 10,410,354, 2019
42019
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
D Li, C Feng
https://arxiv.org/abs/1810.01604, 2018
42018
Data-driven remaining useful life prediction to plan operations shutdown and maintenance of an industrial plant
A Bayesteh, D Li, M Lu
ASCE International Conference on Computing in Civil Engineering 2019, 8-15, 2019
32019
Analytical Comparison of Distance based and Angle Based Kinematic Models for Positioning Backhoe Excavators
S Mao, D Li, M Lu
15th International Conference on Construction Applications of Virtual …, 2015
32015
Analytical tunnel-boring machine pose precision and sensitivity evaluation for underground tunnelling
D Li, S Mao, M Lu, X Shen
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2015
32015
DESIGN AND DEVELOPMENT OF A DISTRIBUTED EARTHMOVING SIMULATION
D Li, C Petre, C Kerr, T Joseph, S AbouRizk, Y Mohamed
26th European Modeling and Simulation Symposium, EMSS 2014, 2014
32014
Large-scale flight frequency optimization with global convergence in the US domestic air passenger markets
J Jeon, D Lee, S Hwang, S Kang, N Park, D Li, K Lee, J Liu
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
12021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20