Weili Fang

Orcid: 0000-0001-8974-2534

According to our database1, Weili Fang authored at least 29 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Causal discovery and reasoning for geotechnical risk analysis.
Reliab. Eng. Syst. Saf., January, 2024

The Role of Smart Heuristics in Decision-Making Under Uncertainty: Migitating Rework and Its Consequences.
IEEE Trans. Engineering Management, 2024

Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both?
IEEE Trans. Engineering Management, 2024

2023
Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules.
IEEE Trans. Engineering Management, December, 2023

Privacy-Preserving Brain-Computer Interfaces: A Systematic Review.
IEEE Trans. Comput. Soc. Syst., October, 2023

A contrastive learning framework for safety information extraction in construction.
Adv. Eng. Informatics, October, 2023

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction.
Adv. Eng. Informatics, August, 2023

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach.
Adv. Eng. Informatics, January, 2023

The Duality and Paradoxical Tensions of Quality and Safety: Managing Error in Construction Projects.
IEEE Trans. Engineering Management, 2023

Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning.
IEEE Trans. Engineering Management, 2023

A hybrid data-driven model for geotechnical reliability analysis.
Reliab. Eng. Syst. Saf., 2023

2022
Curbing Poor-Quality in Large-Scale Transport Infrastructure Projects.
IEEE Trans. Engineering Management, 2022

Rework, Failures, and Unsafe Behavior: Moving Toward an Error Management Mindset in Construction.
IEEE Trans. Engineering Management, 2022

Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects.
Int. J. Inf. Manag., 2022

Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction.
CoRR, 2022

Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework.
CoRR, 2022

Detection and location of unsafe behaviour in digital images: A visual grounding approach.
Adv. Eng. Informatics, 2022

Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research.
Adv. Eng. Informatics, 2022

2021
Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM).
Pattern Recognit. Lett., 2021

Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review.
CoRR, 2021

Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction.
Adv. Eng. Informatics, 2021

2020
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM).
CoRR, 2020

Deep learning-based extraction of construction procedural constraints from construction regulations.
Adv. Eng. Informatics, 2020

Real-time smart video surveillance to manage safety: A case study of a transport mega-project.
Adv. Eng. Informatics, 2020

Automated text classification of near-misses from safety reports: An improved deep learning approach.
Adv. Eng. Informatics, 2020

Computer vision for behaviour-based safety in construction: A review and future directions.
Adv. Eng. Informatics, 2020

2019
Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network.
Adv. Eng. Informatics, 2019

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network.
Adv. Eng. Informatics, 2019

2018
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach.
Adv. Eng. Informatics, 2018


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