Yuqing Zhang
Papers
1
Total Citations
36
H-Index
1
About
Yuqing Zhang is a leading researcher at the forefront of environmental monitoring and artificial intelligence, whose work is revolutionizing the fight against marine pollution. Her primary research areas span computer vision, deep learning, and ocean sustainability, with a particular focus on real-time environmental sensing. Zhang’s most significant contribution is the development of advanced object detection models for marine litter, exemplified by her landmark 2025 paper, "Toward smart ocean monitoring: Real-time detection of marine litter using YOLOv12 in support of pollution mitigation," which has already garnered 36 citations. This work demonstrates how cutting-edge AI architectures can be deployed to autonomously identify and classify waste in aquatic environments, enabling rapid, cost-effective pollution response. By integrating YOLOv12—a state-of-the-art real-time detection system—into ocean monitoring frameworks, Zhang has provided a scalable tool for environmental agencies and researchers. Her research not only pushes the boundaries of applied machine learning but also directly addresses a critical global challenge, offering a tangible pathway to cleaner oceans. For students and researchers, Zhang’s work exemplifies how AI can be harnessed for ecological good, merging technical innovation with urgent environmental action.
Research Focus
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Top Papers
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