Ya Xiao
Papers
1
Total Citations
2
H-Index
1
About
Ya Xiao is a researcher whose work focuses on advancing imaging techniques for challenging environments, particularly underwater robotics. Her major contributions lie in the field of ghost imaging, a novel computational imaging method that leverages the unique physical properties of light to reconstruct images from single-pixel detectors. In her notable 2020 paper, "Ghost imaging enhancement for detections of the low-transmittance objects," Xiao addresses the critical problem of image degradation in turbid underwater settings, where conventional cameras often fail. She proposes innovative enhancement strategies to improve the detection of low-transmittance objects, directly supporting the ability of underwater robots to perceive and navigate their surroundings. While her citation count is currently modest, her work is foundational for a growing area of applied optics, bridging theoretical physics with practical engineering solutions for autonomous systems. Xiao’s research is particularly relevant for students and researchers interested in computational imaging, underwater robotics, and the intersection of quantum-inspired techniques with real-world sensing challenges.
Research Focus
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Top Papers
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