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20222026
most citedHigh-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers

1 citations · 1 across the 4 of their papers we have counts for

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eess.SP2026

Hybrid AI-Physics Framework for Post-Earthquake Structural Damage Diagnosis with Sparse Sensing

Xiao Liang

Rapid and reliable post-earthquake damage assessment is critical for public safety, re-occupancy decisions, and effective emergency response. This paper presents a physics-informed…

eess.SP2022

Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning

Seyedomid Sajedi, Xiao Liang

Bridges are indispensable elements in resilient communities as essential parts of the lifeline transportation systems. Knowledge about the functionality of bridge structures is cru…