| 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 | 315 | 2018 |
| 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 | 134 | 2020 |
| 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 | 131 | 2020 |
| 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 | 126 | 2020 |
| 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 | 125 | 2020 |
| 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 | 103 | 2019 |
| 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 | 72 | 2020 |
| 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 | 63 | 2022 |
| 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 | 61 | 2021 |
| 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 | 56 | 2021 |
| 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 | 48 | 2021 |
| 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 | 47 | 2021 |
| 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 | 46 | 2020 |
| 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 | 46 | 2019 |
| Construction and maintenance of urban underground infrastructure with digital technologies M Wang, X Yin Automation in Construction 141, 104464, 2022 | 45 | 2022 |
| 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 | 41 | 2021 |
| 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 | 40 | 2022 |
| 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 | 37 | 2016 |
| 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 | 30 | 2021 |
| 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 | 30 | 2018 |
Jack C.P. ChengProfessor of Civil and Environmental Engineering, The Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
