7 citations · 7 across the 3 of their papers we have counts for
4 papers
Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification
Xudong Jian, Charikleia Stoura, Simon Scandella +1
Damage identification is a core task in structural health monitoring. In practice, however, its reliability is often compromised by confounding non-damage effects, such as variatio…
Causal Convolutional Neural Networks as Finite Impulse Response Filters
Kiran Bacsa, Wei Liu, Xudong Jian +2
This study investigates the behavior of Causal Convolutional Neural Networks (CNNs) with quasi-linear activation functions when applied to time-series data characterized by multimo…
Automating Traffic Monitoring with SHM Sensor Networks via Vision-Supervised Deep Learning
Hanshuo Wu, Xudong Jian, Christos Lataniotis +3
Bridges, as critical components of civil infrastructure, are increasingly affected by deterioration, making reliable traffic monitoring essential for assessing their remaining serv…
Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers
Xudong Jian, Kiran Bacsa, Gregory Duthé +1
Modal identification is crucial for structural health monitoring and structural control, providing critical insights into structural dynamics and performance. This study presents a…