Qipei Mei 
- (2023): Environment-Aware Worker Trajectory Prediction Using Surveillance Camera in Modular Construction Facilities. Dans: Buildings, v. 13, n. 6 (23 mai 2023).
- (2018): A crowdsourcing-based methodology using smartphones for bridge health monitoring. Dans: Structural Health Monitoring, v. 18, n. 5-6 (septembre 2018).
- (2019): Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones. Dans: Structural Health Monitoring, v. 19, n. 6 (décembre 2019).
- (2019): Monitoring Populations of Bridges in Smart Cities Using Smartphones. Présenté pendant: Structures Congress 2019, Orlando, Florida, 24-27 April 2019.
- (2020): A cost effective solution for pavement crack inspection using cameras and deep neural networks. Dans: Construction and Building Materials, v. 256 (septembre 2020).
- (2020): Frequency Identification of Bridges Using Smartphones on Vehicles with Variable Features. Dans: Journal of Bridge Engineering (ASCE), v. 25, n. 7 (juillet 2020).
- (2020): Densely connected deep neural network considering connectivity of pixels for automatic crack detection. Dans: Automation in Construction, v. 110 (février 2020).
- (2019): Rapid and Automated Damage Detection in Buildings Through ARMAX Analysis of Wind Induced Vibrations. Dans: Frontiers in Built Environment, v. 5 (novembre 2019).
- (2015): Novel Sensor Clustering–Based Approach for Simultaneous Detection of Stiffness and Mass Changes Using Output-Only Data. Dans: Journal of Structural Engineering (ASCE), v. 141, n. 10 (octobre 2015).
- (2016): fixed-order time series model for damage detection and localization. Dans: Journal of Civil Structural Health Monitoring, v. 6, n. 5 (novembre 2016).
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