Weili Fang

42 papers Journal 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Driving Attitude of Tunnel Boring Machines: An Explainable Artificial Intelligence Causal Discovery Prediction Approach.
J. Comput. Civ. Eng.
Jialin Chen, Peter E. D. Love, Hanbin Luo, Weili Fang
2026 J jnl
Intelligent assembly of shield tunnel lining segments: A vision-guided integrated approach.
Adv. Eng. Informatics
Yeting Zhu, Keyu Chen, Yanfei Zhu, Wenfei Wu, Peixin Chen, Weili Fang
2026 J jnl
Mitigating adversarial attacks and building robust deep learning models for assessing risks in tunnel construction.
Reliab. Eng. Syst. Saf.
Yifan Lu, Peter E. D. Love, Hanbin Luo, Weili Fang
2026 J jnl
Real-time multimodal fusion and semantic mapping for robotic tower crane perception.
Adv. Eng. Informatics
Yifan Lu, Xiuzhi Deng, Peter E. D. Love, Wei Zhou, Weili Fang
2025 J jnl
A novel uncertainty-aware point cloud approach for geometric quality monitoring in construction.
Adv. Eng. Informatics
Hanbin Luo, Jianjiang Zhan, Henry J. Liu, Wei Zhou, Weili Fang
2025 J jnl
An Integrated Real-Time Approach to Mitigate Noncompliant Behavior in Mobile Crane Lifting Operations.
J. Comput. Civ. Eng.
Shengyu Guo, Gan Zhang, Bowen Han, Weili Fang
2025 J jnl
An integrated approach for automatic safety inspection in construction: Domain knowledge with multimodal large language model.
Adv. Eng. Informatics
Yiheng Wang, Hanbin Luo, Weili Fang
2025 J jnl
Causality-Guided Explainable Deep-Learning Model for Managing Tunnel-Induced Ground Settlement Risks.
J. Comput. Civ. Eng.
Wenli Liu, Fenghua Liu, Peter E. D. Love, Weili Fang
2024 J jnl
A status digital twin approach for physically monitoring over-and-under excavation in large tunnels.
Adv. Eng. Informatics
Weili Fang, Weiya Chen, Peter E. D. Love, Hanbin Luo, Haiming Zhu, Jiajing Liu
2024 J jnl
Causal discovery and reasoning for geotechnical risk analysis.
Reliab. Eng. Syst. Saf.
Wenli Liu, Fenghua Liu, Weili Fang, Peter E. D. Love
2024 J jnl
Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction.
IEEE Trans. Engineering Management
Jianjiang Zhan, Weili Fang, Peter E. D. Love, Hanbin Luo
2024 J jnl
Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction.
IEEE Trans. Engineering Management
Hanbin Luo, Jialin Chen, Peter E. D. Love, Weili Fang
2024 J jnl
Integrating Evidence into the Design of XAI and AI-based Decision Support Systems: A Means-End Framework for End-users in Construction.
CoRR
Peter E. D. Love, Jane Matthews, Weili Fang, Hadi Mahamivanan
2024 J jnl
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review.
CoRR
Kun Xia, Wlodek Duch, Yu Sun, Kedi Xu, Weili Fang, Hanbin Luo, Yi Zhang, Dong Sang, Xiaodong Xu, Fei-Yue Wang, Dongrui Wu
2024 J jnl
Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both?
IEEE Trans. Engineering Management
Peter E. D. Love, Lavagnon A. Ika, Jane Matthews, Weili Fang
2024 J jnl
The Role of Smart Heuristics in Decision-Making Under Uncertainty: Migitating Rework and Its Consequences.
IEEE Trans. Engineering Management
Peter E. D. Love, Jane Matthews, Lavagnon A. Ika, Weili Fang
2023 J jnl
A contrastive learning framework for safety information extraction in construction.
Adv. Eng. Informatics
Jiajing Liu, Hanbin Luo, Weili Fang, Peter E. D. Love
2023 J jnl
A hybrid data-driven model for geotechnical reliability analysis.
Reliab. Eng. Syst. Saf.
Wenli Liu, Ang Li, Weili Fang, Peter E. D. Love, Timo Hartmann, Hanbin Luo
2023 J jnl
Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules.
IEEE Trans. Engineering Management
Weili Fang, Peter E. D. Love, Lieyun Ding, Shuangjie Xu, Ting Kong, Heng Li
2023 J jnl
Detecting anomalies and de-noising monitoring data from sensors: A smart data approach.
Adv. Eng. Informatics
Weili Fang, Yixiao Shao, Peter E. D. Love, Timo Hartmann, Wenli Liu
2023 J jnl
Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction.
Adv. Eng. Informatics
Peter E. D. Love, Weili Fang, Jane Matthews, Stuart R. Porter, Hanbin Luo, Lieyun Ding
2023 J jnl
Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning.
IEEE Trans. Engineering Management
Peter E. D. Love, Lavagnon A. Ika, Jane Matthews, Weili Fang
2023 J jnl
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review.
IEEE Trans. Comput. Soc. Syst.
Kun Xia, Wlodzislaw Duch, Yu Sun, Kedi Xu, Weili Fang, Hanbin Luo, Yi Zhang, Dong Sang, Xiaodong Xu, Fei-Yue Wang, Dongrui Wu
2023 J jnl
The Duality and Paradoxical Tensions of Quality and Safety: Managing Error in Construction Projects.
IEEE Trans. Engineering Management
Peter E. D. Love, Lavagnon A. Ika, Jane Matthews, Weili Fang, Brad Carey
2022 J jnl
Curbing Poor-Quality in Large-Scale Transport Infrastructure Projects.
IEEE Trans. Engineering Management
Peter E. D. Love, Lavagnon A. Ika, Jane Matthews, Weili Fang
2022 J jnl
Detection and location of unsafe behaviour in digital images: A visual grounding approach.
Adv. Eng. Informatics
Jiajing Liu, Weili Fang, Peter E. D. Love, Timo Hartmann, Hanbin Luo, Lulu Wang
2022 J jnl
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework.
CoRR
Peter E. D. Love, Jane Matthews, Weili Fang, Stuart R. Porter, Hanbin Luo, Lieyun Ding
2022 J jnl
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction.
CoRR
Peter E. D. Love, Weili Fang, Jane Matthews, Stuart R. Porter, Hanbin Luo, Lieyun Ding
2022 J jnl
Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research.
Adv. Eng. Informatics
Weili Fang, Dongrui Wu, Peter E. D. Love, Lieyun Ding, Hanbin Luo
2022 J jnl
Rework, Failures, and Unsafe Behavior: Moving Toward an Error Management Mindset in Construction.
IEEE Trans. Engineering Management
Peter E. D. Love, Lavagnon A. Ika, Hanbin Luo, Ying Zhou, Botao Zhong, Weili Fang
2022 J jnl
Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects.
Int. J. Inf. Manag.
Jane Matthews, Peter E. D. Love, Stuart R. Porter, Weili Fang
2021 J jnl
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review.
CoRR
Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Xiaodong Xu, Hanbin Luo, Xiang Yu
2021 J jnl
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction.
Adv. Eng. Informatics
Ting Kong, Weili Fang, Peter E. D. Love, Hanbin Luo, Shuangjie Xu, Heng Li
2021 J jnl
Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM).
Pattern Recognit. Lett.
Ziang Liu, Xue Jiang, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu
2020 J jnl
Automated text classification of near-misses from safety reports: An improved deep learning approach.
Adv. Eng. Informatics
Weili Fang, Hanbin Luo, Shuangjie Xu, Peter E. D. Love, Zhenchuan Lu, Cheng Ye
2020 J jnl
Computer vision for behaviour-based safety in construction: A review and future directions.
Adv. Eng. Informatics
Weili Fang, Peter E. D. Love, Hanbin Luo, Lieyun Ding
2020 J jnl
Deep learning-based extraction of construction procedural constraints from construction regulations.
Adv. Eng. Informatics
Botao Zhong, Xuejiao Xing, Hanbin Luo, Qirui Zhou, Heng Li, Timothy M. Rose, Weili Fang
2020 J jnl
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM).
CoRR
Ziang Liu, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu
2020 J jnl
Real-time smart video surveillance to manage safety: A case study of a transport mega-project.
Adv. Eng. Informatics
Hanbin Luo, Jiajing Liu, Weili Fang, Peter E. D. Love, Qunzhou Yu, Zhenchuan Lu
2019 J jnl
A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network.
Adv. Eng. Informatics
Weili Fang, Botao Zhong, Neng Zhao, Peter E. D. Love, Hanbin Luo, Jiayue Xue, Shuangjie Xu
2019 J jnl
Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network.
Adv. Eng. Informatics
Ran Wei, Peter E. D. Love, Weili Fang, Hanbin Luo, Shuangjie Xu
2018 J jnl
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach.
Adv. Eng. Informatics
Weili Fang, Lieyun Ding, Botao Zhong, Peter E. D. Love, Hanbin Luo