About
Hi! I'm Chenyu, a third-year Ph.D. candidate in the Department of Civil Engineering at Stony Brook University, supervised by Dr. Ruwen Qin.Â
I received my B.S. degree in Bridge Engineering and M.S. degree in Civil Engineering from Chang'an University in China.
My research lies in deep learning-based computer vision approaches for structural health monitoring of infrastructure, transportation asset management, and resilient infrastructure systems.
News
06/2024: I presented "When Segment Anything Model Meets Inventorying of Roadway Assets" at the International Conference on Transportation and Development (ICTD 2024)!
01/2024: My first-author paper "Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automated structural condition assessment in visual inspection" is published in Automation in Construction!
06/2023: I passed my Ph.D. qualifying exam and am officially a Ph.D. Candidate!
02/2023: My first-author paper "A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images" is published in Transportation Research Record!
01/2023: I gave an oral presentation, "A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images," at the 2023 Transportation Research Board Annual Meeting!