Qilin Li

Qilin Li

Senior Lecturer & ARC DECRA Fellow — AI for intelligent infrastructure and structural health monitoring

Unsupervised structural damage detection and severity assessment via U-GraphFormer

Published in Structural Health Monitoring, 2025

This paper presents U-GraphFormer, an unsupervised approach for detecting structural damage and assessing its severity.

Recommended citation: Liu, Jie, Qilin Li, Ling Li, and Senjian An. “Unsupervised structural damage detection and severity assessment via U-GraphFormer.” Structural Health Monitoring (2025).

Recommended citation: Liu, Jie, Qilin Li, Ling Li, and Senjian An. "Unsupervised structural damage detection and severity assessment via U-GraphFormer." Structural Health Monitoring (2025).
Paper