Jianmin Yang
Papers
1
Total Citations
19
H-Index
1
About
Dr. Jianmin Yang is a leading researcher in marine robotics and intelligent underwater perception, with a primary focus on developing autonomous systems for marine biodiversity exploration. His most impactful work centers on real-time underwater object detection and recognition, where he has pioneered lightweight, high-performance neural network architectures. His landmark 2024 study on "Real-Time Underwater Fish Detection and Recognition Based on CBAM-YOLO Network with Lightweight Design" has already garnered 19 citations, demonstrating its immediate relevance to the field. In this work, Dr. Yang introduced a novel convolutional block attention module (CBAM) integrated with a YOLO framework, enabling underwater robots to efficiently identify marine life in challenging, low-visibility environments. This contribution is critical for advancing autonomous underwater vehicles (AUVs) in ecological monitoring and fisheries management. Dr. Yang's research bridges the gap between computer vision and marine science, providing practical tools for real-time, in-situ biodiversity assessment. His work is widely recognized for its engineering rigor and direct applicability, making him a key figure in the development of intelligent, deployable underwater robotic systems for environmental conservation.
Research Focus
Key Achievements
Top Papers
- 1