Huihui Sun Source Confirmed

OverviewAI-generated summary

Huihui Sun's research focuses on the application of advanced computational methods, particularly neural networks and reinforcement learning, to solve complex problems in robotics and agriculture. Sun has published work on motion planning for mobile robots, including developing event-triggered reconfigurable reinforcement learning approaches for dynamic environments. Additionally, Sun has investigated the use of unmanned aerial vehicles (UAVs) for data acquisition in forestry and has developed lightweight, high-accuracy models like RDRM-YOLO and BMDNet-YOLO for real-time disease detection and maturity recognition in crops such as rice and blueberries. Sun's research also extends to unsupervised feature selection using adaptive dictionary and structure learning. With an h-index of 9 and over 300 citations across 31 publications, Sun's work demonstrates activity in the fields of artificial intelligence, machine learning, and their practical applications.

Metrics

• h-index: 9
• Publications: 31
• Citations: 324