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)

Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network. - Ran Wei; Peter E. D. Love; Weili Fang; Hanbin Luo; Shuangjie Xu (Adv. Eng. Informatics, 2019)

Computer vision for behaviour-based safety in construction: A review and future directions. - Weili Fang; Peter E. D. Love; Hanbin Luo; Lieyun Ding (Adv. Eng. Informatics, 2020)

Automated text classification of near-misses from safety reports: An improved deep learning approach. - Weili Fang; Hanbin Luo; Shuangjie Xu; Peter E. D. Love; Zhenchuan Lu; Cheng Ye (Adv. Eng. Informatics, 2020)

Real-time smart video surveillance to manage safety: A case study of a transport mega-project. - Hanbin Luo; Jiajing Liu; Weili Fang; Peter E. D. Love; Qunzhou Yu; Zhenchuan Lu (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)

Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM). - Ziang Liu 003; Hanbin Luo; Weili Fang; Jiajing Liu; Dongrui Wu (CoRR, 2020)

Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction. - Ting Kong; Weili Fang; Peter E. D. Love; Hanbin Luo; Shuangjie Xu; Heng Li 001 (Adv. Eng. Informatics, 2021)

Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review. - Dongrui Wu; Weili Fang; Yi Zhang; Liuqing Yang; Xiaodong Xu; Hanbin Luo; Xiang Yu (CoRR, 2021)

Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM). - Ziang Liu 003; Xue Jiang; Hanbin Luo; Weili Fang; Jiajing Liu; Dongrui Wu (Pattern Recognit. Lett., 2021)

Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research. - Weili Fang; Dongrui Wu; Peter E. D. Love; Lieyun Ding; Hanbin Luo (Adv. Eng. Informatics, 2022)

Detection and location of unsafe behaviour in digital images: A visual grounding approach. - Jiajing Liu; Weili Fang; Peter E. D. Love; Timo Hartmann; Hanbin Luo; Lulu Wang (Adv. Eng. Informatics, 2022)

Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework. - Peter E. D. Love; Jane Matthews; Weili Fang; Stuart R. Porter; Hanbin Luo; Lieyun Ding (CoRR, 2022)

Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction. - Peter E. D. Love; Weili Fang; Jane Matthews; Stuart R. Porter; Hanbin Luo; Lieyun Ding (CoRR, 2022)

Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects. - Jane Matthews; Peter E. D. Love; Stuart R. Porter; Weili Fang (Int. J. Inf. Manag., 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)

Curbing Poor-Quality in Large-Scale Transport Infrastructure Projects. - Peter E. D. Love; Lavagnon A. Ika; Jane Matthews; Weili Fang (IEEE Trans. Engineering Management, 2022)

A hybrid data-driven model for geotechnical reliability analysis. - Wenli Liu; Ang Li; Weili Fang; Peter E. D. Love; Timo Hartmann; Hanbin Luo (Reliab. Eng. Syst. Saf., 2023)

Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning. - Peter E. D. Love; Lavagnon A. Ika; Jane Matthews; Weili Fang (IEEE Trans. Engineering Management, 2023)

The Duality and Paradoxical Tensions of Quality and Safety: Managing Error in Construction Projects. - Peter E. D. Love; Lavagnon A. Ika; Jane Matthews; Weili Fang; Brad Carey (IEEE Trans. Engineering Management, 2023)

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach. - Weili Fang; Yixiao Shao; Peter E. D. Love; Timo Hartmann; Wenli Liu (Adv. Eng. Informatics, 2023)

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction. - Peter E. D. Love; Weili Fang; Jane Matthews; Stuart R. Porter; Hanbin Luo; Lieyun Ding (Adv. Eng. Informatics, 2023)

A contrastive learning framework for safety information extraction in construction. - Jiajing Liu; Hanbin Luo; Weili Fang; Peter E. D. Love (Adv. Eng. Informatics, 2023)

Privacy-Preserving Brain-Computer Interfaces: A Systematic Review. - Kun Xia; Wlodzislaw Duch; Yu Sun 014; Kedi Xu 001; Weili Fang; Hanbin Luo; Yi Zhang 029; Dong Sang; Xiaodong Xu; Fei-Yue Wang 001; Dongrui Wu (IEEE Trans. Comput. Soc. Syst., 2023)

Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules. - Weili Fang; Peter E. D. Love; Lieyun Ding; Shuangjie Xu; Ting Kong; Heng Li 001 (IEEE Trans. Engineering Management, 2023)

A status digital twin approach for physically monitoring over-and-under excavation in large tunnels. - Weili Fang; Weiya Chen; Peter E. D. Love; Hanbin Luo; Haiming Zhu; Jiajing Liu (Adv. Eng. Informatics, 2024)

Integrating Evidence into the Design of XAI and AI-based Decision Support Systems: A Means-End Framework for End-users in Construction. - Peter E. D. Love; Jane Matthews; Weili Fang; Hadi Mahamivanan (CoRR, 2024)

Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both? - Peter E. D. Love; Lavagnon A. Ika; Jane Matthews; Weili Fang (IEEE Trans. Engineering Management, 2024)

The Role of Smart Heuristics in Decision-Making Under Uncertainty: Migitating Rework and Its Consequences. - Peter E. D. Love; Jane Matthews; Lavagnon A. Ika; Weili Fang (IEEE Trans. Engineering Management, 2024)

Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction. - Hanbin Luo; Jialin Chen; Peter E. D. Love; Weili Fang (IEEE Trans. Engineering Management, 2024)

Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction. - Jianjiang Zhan; Weili Fang; Peter E. D. Love; Hanbin Luo (IEEE Trans. Engineering Management, 2024)

Causal discovery and reasoning for geotechnical risk analysis. - Wenli Liu; Fenghua Liu; Weili Fang; Peter E. D. Love (Reliab. Eng. Syst. Saf., 2024)

A novel uncertainty-aware point cloud approach for geometric quality monitoring in construction. - Hanbin Luo; Jianjiang Zhan; Henry J. Liu; Wei Zhou; Weili Fang (Adv. Eng. Informatics, 2025)

An integrated approach for automatic safety inspection in construction: Domain knowledge with multimodal large language model. - Yiheng Wang; Hanbin Luo; Weili Fang (Adv. Eng. Informatics, 2025)

An Integrated Real-Time Approach to Mitigate Noncompliant Behavior in Mobile Crane Lifting Operations. - Shengyu Guo; Gan Zhang; Bowen Han; Weili Fang (J. Comput. Civ. Eng., 2025)

Causality-Guided Explainable Deep-Learning Model for Managing Tunnel-Induced Ground Settlement Risks. - Wenli Liu; Fenghua Liu; Peter E. D. Love; Weili Fang (J. Comput. Civ. Eng., 2025)