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 | 175 | 2019 |
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 | 82 | 2019 |
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 | 46 | 2021 |
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 | 44 | 2018 |
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 | 43 | 2017 |
Deep Learning-Based Decoding for Constrained Sequence Codes C Cao, D Li, I Fair IEEE Journal on Selected Areas in Communications, 2019 | 32 | 2019 |
Classical Planning Model-based Approach to Automating Construction Planning on Earthwork Projects D Li, M Lu Computer-Aided Civil and Infrastructure Engineering, 2018 | 22 | 2018 |
Primitive fitting using deep geometric segmentation D Li, C Feng ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2019 | 12 | 2019 |
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 | 11 | 2021 |
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 | 11 | 2015 |
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 | 8 | 2021 |
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 | 6 | 2019 |
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation D Li, C Feng https://arxiv.org/abs/1810.01604, 2018 | 5 | 2018 |
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 | 5 | 2016 |
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 | 4 | 2019 |
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 | 3 | 2019 |
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 | 3 | 2015 |
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 | 3 | 2015 |
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 | 3 | 2014 |
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 | 1 | 2021 |