Hongshuai Pang

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About

Hongshuai Pang is a researcher at the forefront of applying artificial intelligence and computer vision to marine robotics, with a primary focus on automating underwater detection and harvesting. His most cited work introduces the FFT_YOLOX model, a novel deep learning architecture designed to accurately identify precious marine products in challenging underwater environments. By integrating frequency-domain analysis with the YOLOX object detection framework, Pang’s model addresses the critical issue of low visibility and complex backgrounds, enabling autonomous underwater robots to monitor marine stock sizes and selectively harvest mature specimens. This contribution directly tackles the labor-intensive, high-cost, and time-consuming nature of traditional marine aquaculture and fishing. With his work gaining traction in the field, Pang is establishing himself as a key innovator in the intersection of marine biology and robotics, offering practical solutions for sustainable and efficient underwater resource management.