Dual-Ph.D in Construction Informatics, The Hong Kong Polytechnic University, 2019
Li, H., **Yang, X.***, Wang, F., Rose, T., Chan, G., & Dong, S. (2016). Stochastic state sequence model to predict construction site safety states through Real-Time Location Systems. Safety Science, 84, 78-87. doi:10.1016/j.ssci.2015.11.025
Li, H., **Yang, X.***, Skitmore, M., Wang, F., & Forsythe, P. (2017). Automated classification of construction site hazard zones by crowd-sourced integrated density maps. Automation in Construction, 81, 328-339. doi:10.1016/j.autcon.2017.04.007
**Yang, X.**, Luo, X., Li, H., Luo, X., & Guo, H.* (2017). Location-based measurement and visualization for interdependence network on construction sites. Advanced Engineering Informatics, 34, 36-45. doi:10.1016/j.aei.2017.09.003
**Yang, X.**, Li, H., Huang, T., Zhai, X., Wang, F., & Wang, C.* (2018). Computer-Aided Optimization of Surveillance Cameras Placement on Construction Sites. Computer-Aided Civil and Infrastructure Engineering, 33(12), 1110-1126. doi:doi:10.1111/mice.12385
**Yang, X.**, Li, H.*, Yu, Y., Luo, X., Huang, T., & Yang, X. (2018). Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network. Computer-Aided Civil and Infrastructure Engineering, 33(12), 1090-1109. doi:10.1111/mice.12412
Yu, Y., Li, H., **Yang, X.***, Kong, L., Luo, X., & Wong, A. Y. L. (2019). An automatic and non-invasive physical fatigue assessment method for construction workers. Automation in Construction, 103, 1-12. doi:10.1016/j.autcon.2019.02.020
**Yang, X.**, Yu, Y., Shirowzhan, S., sepasgozar, S., & Li, H.* (2020). Automated PPE-Tool pair check system for construction safety using smart IoT. Journal of Building Engineering, 32, 101721. doi:10.1016/j.jobe.2020.101721
Yang, X., Guo, R., & Li, H. (2023). Comparison of multimodal RGB-thermal fusion techniques for exterior wall multi-defect detection. Journal of Infrastructure Intelligence and Resilience, 2(2), 100029. doi:https://doi.org/10.1016/j.iintel.2023.100029
Jin, X., Yang, X., Jiang, Y., & Li, Y. (2024). An AI-based partial explainable prediction of rubber concrete strength on mobile devices. Construction and Building Materials, 427, 136234. https://doi.org/10.1016/j.conbuildmat.2024.136234
Talk at International Symposium on Advancement of Construction Management and Real Estate Hong Kong 2018, Hong Kong, China
Talk at International Symposium on Automation and Robotics in Construction 2019, Banff, Alberta, Canada
Tutorial at Invited by Associate Professor Zezhou WU, Shenzhen University, Shenzhen, China
Tutorial at Invited by Associate Professor Zezhou WU, Shenzhen University, Shenzhen, China
Tutorial at Invited by Assistant Professor Xianfei YIN , Macau University, Macau, China
Tutorial at The 1st Urban Safety Forum, Beijing, China
Tutorial at Shenzhen Curtain Wall Safety and Technology Innovation Forum, Shenzhen, China
Tutorial at The 2024 Summit on Diagnosis and Treatment for Civil Engineering, Guangzhou, China