Kailun Feng 
- (2023): Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach. In: Journal of Physics: Conference Series, v. 2654, n. 1 (1 Dezember 2023).
- (2023): A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden. In: IOP Conference Series: Earth and Environmental Science, v. 1196, n. 1 (1 Juni 2023).
- : Computer vision-based real-time monitoring for swivel construction of bridges: from laboratory study to a pilot application. In: Engineering, Construction and Architectural Management.
- (2024): Transfer of building retrofitting evaluations for data-scarce conditions: An empirical study for Sweden to China. In: Energy and Buildings, v. 310 (Mai 2024).
- (2023): Modeling Performance and Uncertainty of Construction Planning under Deep Uncertainty: A Prediction Interval Approach. In: Buildings, v. 13, n. 1 (13 Januar 2023).
- (2022): Energy-Efficient Retrofitting under Incomplete Information: A Data-Driven Approach and Empirical Study of Sweden. In: Buildings, v. 12, n. 8 (31 Juli 2022).
- (2022): Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. In: Journal of Construction Engineering and Management, v. 148, n. 8 (August 2022).
- (2021): Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning. In: Engineering, Construction and Architectural Management, v. 30, n. 1 (August 2021).
- (2019): Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method. In: Sustainable Cities and Society, v. 50 (Oktober 2019).
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