Xuefeng Liu

Qingdao University of Science and Technology

Papers

Total Citations

127

H-Index

About

Dr. Xuefeng Liu is a leading researcher in marine artificial intelligence, specializing in underwater computer vision and embedded systems for oceanographic applications. His work focuses on overcoming the unique challenges of marine environments—such as low visibility, light distortion, and complex backgrounds—to enable accurate, real-time detection and classification of marine organisms. Dr. Liu’s major contributions include the development of an improved EfficientDet model for underwater object detection, which significantly enhances the identification of marine life in challenging conditions, garnering 72 citations. He also pioneered the use of MobileNet combined with transfer learning for real-time marine animal image classification on embedded systems, a breakthrough that supports automated monitoring in marine aquaculture and has been cited 55 times. His research directly advances the intelligence of marine equipment, benefiting both ecological studies and the marine economy. By bridging deep learning and resource-constrained hardware, Dr. Liu’s work has established new benchmarks for efficient, deployable underwater AI systems, making him a key figure in the intersection of computer vision and marine science.