Kaijian Liu
- Self-updatable AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC). In: Case Studies in Construction Materials, v. 19 (December 2023). (2023):
- Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies. In: Journal of Computing in Civil Engineering, v. 37, n. 2 (March 2023). (2023):
- Structural Deterioration Knowledge Ontology towards Physics-Informed Machine Learning for Enhanced Bridge Deterioration Prediction. In: Journal of Computing in Civil Engineering, v. 37, n. 1 (January 2023). (2023):
- Deep Learning–Based Analytics of Multisource Heterogeneous Bridge Data for Enhanced Data-Driven Bridge Deterioration Prediction. In: Journal of Computing in Civil Engineering, v. 36, n. 5 (September 2022). (2022):
- Ontology-based Sequence Labelling for Automated Information Extraction for Supporting Bridge Data Analytics. In: Procedia Engineering, v. 145 ( 2016). (2016):
- Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics. In: Journal of Construction Engineering and Management, v. 148, n. 6 (June 2022). (2022):
- Semantic Neural Network Ensemble for Automated Dependency Relation Extraction from Bridge Inspection Reports. In: Journal of Computing in Civil Engineering, v. 35, n. 4 (July 2021). (2021):
- Fusing Data Extracted from Bridge Inspection Reports for Enhanced Data-Driven Bridge Deterioration Prediction: A Hybrid Data Fusion Method. In: Journal of Computing in Civil Engineering, v. 34, n. 6 (November 2020). (2020):
- Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports. In: Automation in Construction, v. 81 (September 2017). (2017):
- Crowdsourcing Construction Activity Analysis from Jobsite Video Streams. In: Journal of Construction Engineering and Management, v. 141, n. 11 (November 2015). (2015):