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Mingzhu Wang
Mingzhu Wang
Assistant Professor, Department of Architecture and Civil Engineering, City University of Hong Kong
Verified email at cityu.edu.hk
Title
Cited by
Cited by
Year
Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
JCP Cheng, M Wang
Automation in Construction 95, 155-171, 2018
3032018
A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data
J Ma, JCP Cheng, F Jiang, W Chen, M Wang, C Zhai
Energy and Buildings 216, 109941, 2020
1312020
Full body pose estimation of construction equipment using computer vision and deep learning techniques
H Luo, M Wang, PKY Wong, JCP Cheng
Automation in construction 110, 103016, 2020
1232020
A unified convolutional neural network integrated with conditional random field for pipe defect segmentation
M Wang, JCP Cheng
Computer‐Aided Civil and Infrastructure Engineering 35 (2), 162-177, 2020
1232020
Deep learning–based automated detection of sewer defects in CCTV videos
SS Kumar, M Wang, DM Abraham, MR Jahanshahi, T Iseley, JCP Cheng
Journal of Computing in Civil Engineering 34 (1), 04019047, 2020
1192020
An integrated underground utility management and decision support based on BIM and GIS
M Wang, Y Deng, J Won, JCP Cheng
Automation in Construction 107, 102931, 2019
1022019
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series
J Ma, JCP Cheng, Y Ding, C Lin, F Jiang, M Wang, C Zhai
Advanced Engineering Informatics 44, 101092, 2020
712020
Automatic detection of sewer defects based on improved you only look once algorithm
Y Tan, R Cai, J Li, P Chen, M Wang
Automation in Construction 131, 103912, 2021
562021
Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection
Y Tan, G Li, R Cai, J Ma, M Wang
Automation in Construction 139, 104284, 2022
532022
Automated semantic segmentation of industrial point clouds using ResPointNet++
C Yin, B Wang, VJL Gan, M Wang, JCP Cheng
Automation in Construction 130, 103874, 2021
502021
Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning
M Wang, SS Kumar, JCP Cheng
Automation in Construction 121, 103438, 2021
452021
Predicting safety hazards among construction workers and equipment using computer vision and deep learning techniques
M Wang, P Wong, H Luo, S Kumar, V Delhi, J Cheng
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2019
452019
Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images
M Wang, H Luo, JCP Cheng
Tunnelling and Underground Space Technology 110, 103840, 2021
442021
Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques
J Ma, JCP Cheng, F Jiang, VJL Gan, M Wang, C Zhai
Advanced Engineering Informatics 44, 101070, 2020
432020
Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU)
H Luo, M Wang, PKY Wong, J Tang, JCP Cheng
Automation in Construction 121, 103444, 2021
412021
Construction and maintenance of urban underground infrastructure with digital technologies
M Wang, X Yin
Automation in Construction 141, 104464, 2022
392022
A BIM-based decision support system framework for predictive maintenance management of building facilities
JCP Cheng, W Chen, Y Tan, M Wang
Proceedings of the 16th International Conference on Computing in Civil and …, 2016
362016
Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification
JCP Cheng, PKY Wong, H Luo, M Wang, PH Leung
Automation in Construction 139, 104312, 2022
342022
Development and improvement of deep learning based automated defect detection for sewer pipe inspection using faster R-CNN
M Wang, JCP Cheng
Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018
302018
Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques
PKY Wong, H Luo, M Wang, PH Leung, JCP Cheng
Advanced Engineering Informatics 49, 101356, 2021
282021
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