Ting Yao

Tianjin University of Commerce, Jingdong (China)

Papers

Total Citations

167

H-Index

About

Dr. Ting Yao is a pioneering researcher at the intersection of computer vision and embodied AI, with key contributions in agricultural robotics, human-computer interaction, and object manipulation. Her most impactful work, **DSE-YOLO** (115 citations), introduces a detail semantics enhancement framework for YOLO-based detection, achieving state-of-the-art performance in multi-stage strawberry recognition—a critical advance for precision agriculture and automated harvesting systems. In the domain of social AI, she led the creation of the **Responsive Listening Head Generation** benchmark (48 citations), providing the first standardized dataset and baseline for generating context-aware, non-verbal listening behaviors in virtual agents, bridging gaps in affective computing. Dr. Yao also demonstrated technical versatility in the **ManiSkill 2021 Challenge**, where her team’s hybrid learning-from-demonstrations and heuristic rule-based methods secured competitive results for complex object manipulation tasks. Her work consistently emphasizes practical deployment, from real-time agricultural detection to human-robot interaction, earning recognition for its dual focus on algorithmic innovation and real-world applicability. With over 160 citations across her core publications, Dr. Yao continues to shape research in vision-driven robotics and interactive AI systems.