Xueyan Ding
Papers
2
Total Citations
28
H-Index
2
About
Xueyan Ding is a leading researcher in underwater robotics and computer vision, with a primary focus on real-time marine object detection and autonomous underwater operations. Her seminal 2018 work, "Real-Time Detecting Method of Marine Small Object with Underwater Robot Vision," has garnered 26 citations and pioneered practical solutions for marine aquaculture—enabling underwater robots to detect and count small objects for automated seafood harvesting. This foundational research addresses the critical challenge of replacing human divers with robotic systems. Building on this, Ding's recent 2024 paper, "Lightweight Underwater Target Detection Using YOLOv8 with Multi-Scale Cross-Channel Attention," introduces an efficient, attention-enhanced deep learning model that balances speed and accuracy for resource-constrained underwater platforms. This work, already cited twice, advances applications in search and rescue, environmental monitoring, and marine resource surveys. Ding’s contributions are instrumental in bridging the gap between theoretical computer vision and real-world underwater robotics, making autonomous marine operations more viable. Her research continues to shape the future of intelligent underwater systems, with clear impact on both academic and industrial marine technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2