Weiwei Xing
Papers
2
Total Citations
37
H-Index
2
About
Dr. Weiwei Xing is a leading researcher in computational modeling and intelligent systems, with a primary focus on crowd simulation and computer vision. Her seminal work, "Learning motion rules from real data: Neural network for crowd simulation" (2018), has garnered 31 citations, establishing a foundational approach to using neural networks for realistic, data-driven crowd behavior modeling—a critical advancement for virtual environments, urban planning, and safety simulations. More recently, Dr. Xing has extended her expertise to underwater autonomous systems, developing the MCR-YOLO model for underwater target detection, which leverages multi-color spatial features to enhance detection accuracy in challenging aquatic conditions. This work, published in 2024, demonstrates her ability to innovate across domains, from human dynamics to marine robotics. Dr. Xing’s contributions bridge theoretical machine learning with practical applications, offering robust solutions for complex, real-world scenarios. Her research continues to inspire new directions in intelligent perception and simulation, making her a notable figure in both the AI and robotics communities.
Research Focus
Key Achievements
Top Papers
- 1Learning motion rules from real data: Neural network for crowd simulation31 citations · 2018
- 2