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

Loughborough University Research Publications


Publications for Mingzhu Wang

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Journal Articles

Han, S, Jiang, Y, Huang, Y, Wang, M, Bai, Y, Spool-White, A (2023) Scan2Drawing: Use of Deep Learning for As-Built Model Landscape Architecture, Journal of Construction Engineering and Management, 149(5), ISSN: 0733-9364. DOI: 10.1061/jcemd4.coeng-13077.

Tang, J, Wang, M, Luo, H, Wong, PK-Y, Zhang, X, Chen, W, Cheng, JCP (2023) Full-body pose estimation for excavators based on data fusion of multiple onboard sensors, Automation in Construction, 147, pp.104694-104694, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104694.

Yin, X and Wang, M (2022) Science mapping for recent research regarding urban underground infrastructure, Buildings, 12(11), 2031, DOI: 10.3390/buildings12112031.

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.

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.

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, 104284, ISSN: 0926-5805. DOI: 10.1016/j.autcon.2022.104284.

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, pp.103912-103912, 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.

Wang, M, Luo, H, Cheng, JCP (2021) Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images, Tunnelling and Underground Space Technology, 110, pp.103840-103840, ISSN: 0886-7798. DOI: 10.1016/j.tust.2021.103840.

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.



Conferences

Hwang, S, Wang, M, Osmani, M, Blay, K (2023) Blockchain-enabled-trust for construction project governance: A conceptual framework. In Skatulla, S and Beushausen, H (ed) 19th International Conference on Computing in Civil and Building Engineering (ICCCBE - 2022); ICCCBE 2022: Advances in Information Technology in Civil and Building Engineering, Cape Town, South Africa,ISBN: 9783031325144. DOI: 10.1007/978-3-031-32515-1_23.

Wang, M, Luo, H, Cheng, JCP (2020) Severity Assessment of Sewer Pipe Defects in Closed-Circuit Television (CCTV) Images Using Computer Vision Techniques. In Construction Research Congress 2020. DOI: 10.1061/9780784482858.101.

Wang, M, Luo, H, Cheng, JCP (2020) Severity assessment of sewer pipe defects in closed-circuit television (CCTV) images using computer vision techniques. In , Construction Research Congress 2020: Infrastructure Systems and Sustainability - Selected Papers from the Construction Research Congress 2020, pp.942-950, ISBN: 9780784482858. DOI: 10.1061/9780784482858.0101.

Wang, M and Cheng, JCP (2019) Semantic Segmentation of Sewer Pipe Defects Using Deep Dilated Convolutional Neural Network. In 36th International Symposium on Automation and Robotics in Construction, Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). DOI: 10.22260/isarc2019/0078.

Wang, M, Wong, PK-Y, Luo, H, Kumar, S, Delhi, V-SK, Cheng, JC-P (2019) Predicting Safety Hazards Among Construction Workers and Equipment Using Computer Vision and Deep Learning Techniques. In 36th International Symposium on Automation and Robotics in Construction, Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). DOI: 10.22260/isarc2019/0054.

Roberts, D, Wang, M, Torres Calderon, W, Golparvar-Fard, M (2019) An Annotation Tool for Benchmarking Methods for Automated Construction Worker Pose Estimation and Activity Analysis. In International Conference on Smart Infrastructure and Construction 2019 (ICSIC). DOI: 10.1680/icsic.64669.307.

Wang, M and Cheng, JCP (2018) Development and Improvement of Deep Learning Based Automated Defect Detection for Sewer Pipe Inspection Using Faster R-CNN. In , pp.171-192, ISBN: 9783319916378. DOI: 10.1007/978-3-319-91638-5_9.



Chapters

Luo, H, Wang, M, Wong, PK-Y, Tang, J, Cheng, JCP (2021) Vision-Based Pose Forecasting of Construction Equipment for Monitoring Construction Site Safety. In Lecture Notes in Civil Engineering, Springer International Publishing, pp.1127-1138, ISBN: 9783030512941. DOI: 10.1007/978-3-030-51295-8_78.

Wong, PK-Y, 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, Springer International Publishing, pp.41-53, ISBN: 9783030512941. DOI: 10.1007/978-3-030-51295-8_5.



Getting in touch

Research Office
Loughborough University
Loughborough
Leicestershire
LE11 3TU
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