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Duanshun Li
Duanshun Li
Dirección de correo verificada de ualberta.ca
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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
1752019
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
822019
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
462021
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
442018
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
432017
Deep Learning-Based Decoding for Constrained Sequence Codes
C Cao, D Li, I Fair
IEEE Journal on Selected Areas in Communications, 2019
322019
Classical Planning Model-based Approach to Automating Construction Planning on Earthwork Projects
D Li, M Lu
Computer-Aided Civil and Infrastructure Engineering, 2018
222018
Primitive fitting using deep geometric segmentation
D Li, C Feng
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2019
122019
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
112021
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
112015
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
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
62019
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
D Li, C Feng
https://arxiv.org/abs/1810.01604, 2018
52018
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
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
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