5 Selected Peer-Reviewed Journal Papers
Wang, C., Xiao, Z., Di Murro V., Osborne, J., Friedman, M., Li Z.*, (2024), The impact of thermal-hydraulic variation on tunnel long-term performance: a tale of two tunnels, Geotechnique (2025) 75 (7): 858–874.
Wang, C., Xiao, Z., Di Murro V., Osborne, J., Friedman, M., Li Z.*, (2024), The impact of thermal-hydraulic variation on tunnel long-term performance: a tale of two tunnels, Geotechnique (2025) 75 (7): 858–874.
Neng Wang, Bowen Jiang, Camillo J. Taylor, Zili Li*. (2026) Diffusion-Enhanced Semantic Segmentation: A Novel Framework for Underground Crack Detection, Automation in Construction, Volume 182, February 2026, 106721 (won best publication of the year award competition for the School of Engineering and Architecture)
Ran Zhang, Chao Wang, Zili Li*, (2025) Automatic inspection and assessment of a cross-passage twin tunnel using UAV, Automation in Construction, Volume 175, July 2025, 106200
Aohui Ouyang, Vanessa Di Murro, Mehdi Daakir, John Andrew Osborne, Zili Li*, (2025) From Pixel to Infrastructure: Photogrammetry-based Tunnel Crack Digitalization and Documentation Method using Deep Learning, Tunnelling and Underground Space Technology, Vol 155, 106179
Aohui Ouyang, Vanessa Di Murro, Mehdi Daakir, John Andrew Osborne, Zili Li*, (2025) From Pixel to Infrastructure: Photogrammetry-based Tunnel Crack Digitalization and Documentation Method using Deep Learning, Tunnelling and Underground Space Technology, Vol 155, 106179
O'Brien, D., Osborne, J., Perez-Duenas, E., Li, Z., (2023), Automated crack classification in the CERN underground tunnel infrastructure using deep learning, Tunnelling and Underground Space Technology, Volume 131, 104668 (won Best Paper Award in Tunnelling and Underground Space Technology 2023)
O'Brien, D., Osborne, J., Perez-Duenas, E., Li, Z., (2023), Automated crack classification in the CERN underground tunnel infrastructure using deep learning, Tunnelling and Underground Space Technology, Volume 131, 104668 (won Best Paper Award in Tunnelling and Underground Space Technology 2023)
Google Scholar Link:
https://scholar.google.com/citations?hl=en&user=ki6D34gAAAAJ&view_op=list_works&sortby=pubdate