Papers
3
Total Citations
16
H-Index
3
About
Zuo-Guang Ye is a pioneering researcher at the intersection of soft robotics, intelligent sensing, and marine computer vision. His work addresses fundamental conflicts in stretchable electronics—specifically, how to maintain sensor accuracy under deformation. Ye’s landmark 2026 paper on deformation-adaptive pressure sensors introduces multi-level discrete sensing arrays that overcome the strain tolerance limits of conventional materials, achieving robust performance for morphing electronics and human–machine interaction (7 citations). In electroactive polymers, he resolved the inherent trade-off between deformability and rigidity by using an external electric field to align Al₂O₃-coated carbon nanotubes, dramatically enhancing both actuation strain and output force for soft robots (5 citations). Extending into computer vision, Ye developed YOLOv11-MSE, a lightweight multi-scale dilated attention network that achieves efficient real-time underwater target detection despite optical attenuation and dense small targets (4 citations). His cross-disciplinary contributions—spanning materials engineering, device physics, and deep learning—demonstrate a rare ability to solve practical deformation and environmental challenges. With each publication advancing the frontier of adaptive, high-performance systems, Ye is establishing himself as a rising leader in intelligent soft matter and autonomous sensing.
Research Focus
Key Achievements
Top Papers
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