Shaoyu Zhang

Shaoyu Zhang is a researcher affiliated with the Institute of Automation at the University of Chinese Academy of Sciences. His work focuses on machine learning techniques for addressing data imbalance in visual recognition tasks.

Research interests include:

• Long-tailed learning and imbalanced data handling
• Mixup and data augmentation strategies
• Knowledge distillation mechanisms
• Visual recognition and object detection

Key publication trends (2020-2024) show expertise in:

• Developing teacher-student learning frameworks
• Designing probability space alignment methods
• Improving model robustness through balanced training
• Advancing few-shot representation learning