Papers
5
Total Citations
26
H-Index
4
About
Dr. Decheng Wu is a pioneering researcher at the intersection of intelligent construction and advanced flexible electronics, with key contributions in deep learning-based building component detection and wearable sensor technology. His work on curtain wall frame segmentation has produced a suite of innovative deep learning architectures—including cross-modal feature fusion networks and context collaboration pyramid networks—that enable automated, high-precision detection of building frames, directly supporting robotic pose estimation and autonomous construction. These methods, published in 2024, have collectively garnered over 20 citations, establishing him as a rising authority in computer vision for civil infrastructure. Notably, Wu also developed highly sensitive multidirectional strain sensors based on laser-induced graphene, achieving a breakthrough in flexible electronics by overcoming the weak bonding issues of traditional dip-coating methods. His cross-shaped sensor design, critical for motion rehabilitation and human-computer interaction, demonstrates exceptional sensitivity at low strains. This dual expertise—bridging AI-driven structural analysis and wearable sensor innovation—positions Wu as a transformative figure in smart construction and human-machine interfaces, with his work already influencing both academic research and practical applications in bionic robotics.
Research Focus
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Top Papers
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