Lichao Hao
Papers
1
Total Citations
19
H-Index
1
About
Dr. Lichao Hao is a leading researcher at the intersection of computer vision, marine robotics, and artificial intelligence, with a primary focus on enabling autonomous underwater vehicles to intelligently perceive and interact with marine ecosystems. His most significant contribution to date is the development of a lightweight, real-time fish detection and recognition system, detailed in his highly cited 2024 paper on the CBAM-YOLO network. This work directly addresses the critical challenge of deploying underwater robots for autonomous biodiversity monitoring by creating a computationally efficient convolutional neural network that balances high detection accuracy with the limited processing power available on underwater platforms. By integrating a Convolutional Block Attention Module (CBAM) into a YOLO architecture, Dr. Hao’s method allows robots to focus on salient features in complex, low-visibility underwater environments. Already accumulating 19 citations in a short period, this research is foundational for advancing autonomous marine surveys, species population tracking, and environmental conservation efforts. Dr. Hao’s work stands as a key enabler for the next generation of intelligent, self-sufficient underwater exploration tools.
Research Focus
Key Achievements
Top Papers
- 1