Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications

Publications for Mingzhu Wang

From (year): To (year):

Download all publications as Word document

Journal Articles

Wang, M and Yin, X (2022) Construction and maintenance of urban underground infrastructure with digital technologies, Automation in Construction, 141(2022), 104464, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104464.

Tan, Y, Li, G, Cai, R, Ma, J, Wang, M (2022) Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection, Automation in Construction, 139, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104284.

Jiang, Y, Han, S, Li, D, Bai, Y, Wang, M (2022) Automatic concrete sidewalk deficiency detection and mapping with deep learning, Expert Systems with Applications, 207(2022), 117980, ISSN: 0957-4174. DOI: 10.1016/j.eswa.2022.117980.

Cheng, JCP, Wong, PK-Y, Luo, H, Wang, M, Leung, PH (2022) Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification, Automation in Construction, 139, 104312, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104312.

Siu, C, Wang, M, Cheng, JCP (2022) A framework for synthetic image generation and augmentation for improving automatic sewer pipe defect detection, Automation in Construction, 137, 104213, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104213.

Tan, Y, Cai, R, Li, J, Chen, P, Wang, M (2021) Automatic detection of sewer defects based on improved you only look once algorithm, AUTOMATION IN CONSTRUCTION, 131, ARTN 103912, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2021.103912.

Wang, M (2021) Ontology-based modelling of lifecycle underground utility information to support operation and maintenance, Automation in Construction, 132, 103933, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2021.103933.

Wong, PKY, Luo, H, Wang, M, Cheng, JCP (2021) Enriched and discriminative convolutional neural network features for pedestrian re-identification and trajectory modeling, Computer-Aided Civil and Infrastructure Engineering, ISSN: 1093-9687. DOI: 10.1111/mice.12750.

Yin, C, Wang, B, Gan, VJL, Wang, M, Cheng, JCP (2021) Automated semantic segmentation of industrial point clouds using ResPointNet++, Automation in Construction, 130, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2021.103874.

Wong, PKY, Luo, H, Wang, M, Leung, PH, Cheng, JCP (2021) Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques, Advanced Engineering Informatics: the science of supporting knowledge-intensive activities, 49, ISSN: 0954-1810. DOI: 10.1016/j.aei.2021.101356.

Luo, H, Wang, M, Wong, PK-Y, Tang, J, Cheng, JCP (2020) Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU), Automation in Construction, 121, 103444, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2020.103444.

Wang, M, Kumar, SS, Cheng, JCP (2020) Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning, Automation in Construction, 121, 103438, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2020.103438.

Ma, J, Cheng, JCP, Jiang, F, Chen, W, Wang, M, Zhai, C (2020) A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data, Energy and Buildings, 216, pp.109941-109941, ISSN: 0378-7788. DOI: 10.1016/j.enbuild.2020.109941.

Ma, J, Cheng, JCP, Ding, Y, Lin, C, Jiang, F, Wang, M, Zhai, C (2020) Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series, Advanced Engineering Informatics, 44, pp.101092-101092, ISSN: 1474-0346. DOI: 10.1016/j.aei.2020.101092.

Ma, J, Cheng, JCP, Jiang, F, Gan, VJL, Wang, M, Zhai, C (2020) Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques, Advanced Engineering Informatics, 44, pp.101070-101070, ISSN: 1474-0346. DOI: 10.1016/j.aei.2020.101070.

Wang, M and Cheng, JCP (2020) A unified convolutional neural network integrated with conditional random field for pipe defect segmentation, Computer-Aided Civil and Infrastructure Engineering, 35(2), pp.162-177, ISSN: 1093-9687. DOI: 10.1111/mice.12481.

Luo, H, Wang, M, Wong, PK-Y, Cheng, JCP (2019) Full body pose estimation of construction equipment using computer vision and deep learning techniques, Automation in Construction, 110, 103016, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2019.103016.

Kumar, SS, Wang, M, Abraham, DM, Jahanshahi, MR, Iseley, T, Cheng, JCP (2019) Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos, Journal of Computing in Civil Engineering, 34(1), pp.04019047-04019047, ISSN: 0887-3801. DOI: 10.1061/(asce)cp.1943-5487.0000866.

Wang, M, Deng, Y, Won, J, Cheng, JCP (2019) An integrated underground utility management and decision support based on BIM and GIS, Automation in Construction, 107, pp.102931-102931, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2019.102931.

Cheng, JCP and Wang, M (2018) Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques, Automation in Construction, 95, pp.155-171, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2018.08.006.


Hwang, S, Wang, M, Osmani, M, Blay, K (Accepted for publication) Blockchain-enabled-trust for construction project governance: A conceptual framework. In 19th International Conference on Computing in Civil and Building Engineering (ICCCBE - 2022), Cape Town, South Africa.


Luo, H, Wang, M, Wong, PKY, Tang, J, Cheng, JCP (2021) Vision-Based Pose Forecasting of Construction Equipment for Monitoring Construction Site Safety. In Lecture Notes in Civil Engineering, pp.1127-1138, DOI: 10.1007/978-3-030-51295-8_78.

Wong, PKY, Luo, H, Wang, M, Cheng, JCP (2021) Enriched and Discriminative Human Features for Person Re-Identification Based on Explainable Behaviors of Convolutional Neural Networks. In Lecture Notes in Civil Engineering, pp.41-53, DOI: 10.1007/978-3-030-51295-8_5.

Getting in touch

Research Office
Loughborough University
LE11 3TU
+44 (0)1509 222453