An Ontological and Semantic Approach for the Construction Risk Inferring and Application. - Botao Zhong; Yong Li (J. Intell. Robotic Syst., 2015)

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach. - Weili Fang; Lieyun Ding; Botao Zhong; Peter E. D. Love; Hanbin Luo (Adv. Eng. Informatics, 2018)

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network. - Weili Fang; Botao Zhong; Neng Zhao; Peter E. D. Love; Hanbin Luo; Jiayue Xue; Shuangjie Xu (Adv. Eng. Informatics, 2019)

Convolutional neural network: Deep learning-based classification of building quality problems. - Botao Zhong; Xuejiao Xing; Peter E. D. Love; Xu Wang; Hanbin Luo (Adv. Eng. Informatics, 2019)

Ontology for safety risk identification in metro construction. - Xuejiao Xing; Botao Zhong; Hanbin Luo; Heng Li 001; Haitao Wu (Comput. Ind., 2019)

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model. - Junqing Tang; Hans Rudolf Heinimann; Ke Han; Hanbin Luo; Botao Zhong (CoRR, 2019)

A building regulation question answering system: A deep learning methodology. - Botao Zhong; Wanlei He; Ziwei Huang; Peter E. D. Love; Junqing Tang; Hanbin Luo (Adv. Eng. Informatics, 2020)

Hazard analysis: A deep learning and text mining framework for accident prevention. - Botao Zhong; Xing Pan; Peter E. D. Love; Jun Sun; Chanjuan Tao (Adv. Eng. Informatics, 2020)

Deep learning-based extraction of construction procedural constraints from construction regulations. - Botao Zhong; Xuejiao Xing; Hanbin Luo; Qirui Zhou; Heng Li 001; Timothy M. Rose; Weili Fang (Adv. Eng. Informatics, 2020)

Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework. - Xing Pan; Botao Zhong; Yuhang Wang; Luoxin Shen (Adv. Eng. Informatics, 2022)

Rework, Failures, and Unsafe Behavior: Moving Toward an Error Management Mindset in Construction. - Peter E. D. Love; Lavagnon A. Ika; Hanbin Luo; Ying Zhou; Botao Zhong; Weili Fang (IEEE Trans. Engineering Management, 2022)

Novel blockchain deep learning framework to ensure video security and lightweight storage for construction safety management. - Xing Pan; Luoxin Shen; Botao Zhong; Da Sheng; Fang Huang; Luhan Yang (Adv. Eng. Informatics, 2024)

Fairness model considering satisfaction and preferences for service scheduling on electronic platforms in construction industry. - Jing Yang; Botao Zhong (Expert Syst. Appl., 2024)

Mitigating potential risk via counterfactual explanation generation in blast-based tunnel construction. - Fenghua Liu; Wenli Liu; Jiajing Liu; Botao Zhong; Jun Sun (Adv. Eng. Informatics, 2025)

Federated learning system eliminating model drift in distributed edge computing: Theoretical analytics and application on pit engineering state monitoring. - Zhenzhao Xia; Botao Zhong; Tonghui Zhao; Kai Li; Shuai Zhang (Adv. Eng. Informatics, 2025)

Collaborative Governance: Blockchain-Based Federated Learning for Construction Safety Service. - Xing Pan; Lieyun Ding; Botao Zhong; Luoxin Shen; Yuhang Wang (IEEE Trans. Engineering Management, 2025)

Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems. - Han Gao; Timo Hartmann; Botao Zhong; Kai Lia; Hanbin Luo (CoRR, 2025)