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