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Mingzhu Wang
Mingzhu Wang
Assistant Professor, Department of Architecture and Civil Engineering, City University of Hong Kong
Verifisert e-postadresse på cityu.edu.hk
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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
1182020
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
522022
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
492021
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
422020
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
402021
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
272021
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