Jiayu Zhan
Papers
2
Total Citations
41
H-Index
2
About
Jiayu Zhan is a leading researcher at the intersection of computer vision, social robotics, and cognitive science. Her work focuses on reverse-engineering the psychological principles of facial expression and social trait perception, translating them into computational models for artificial systems. In her highly cited 2018 paper (37 citations), Zhan pioneered methods for endowing social robots with psychologically valid facial expressions, addressing a critical bottleneck in human-robot interaction. She demonstrated that for robots to function effectively in schools, hospitals, and homes, they must communicate emotions in ways that humans instinctively understand. More recently, her 2020 work (4 citations) has broken new ground by revealing that social trait judgments—such as trustworthiness and competence—are structured by a latent composition of 3D facial features. This research provides a rigorous, data-driven framework for understanding how rapid first impressions are formed, with profound implications for AI fairness and human-computer interaction. Zhan’s contributions are essential for building socially intelligent machines that can navigate the nuanced landscape of human social perception, making her a pivotal figure in the future of empathetic technology.
Research Focus
Key Achievements
Top Papers
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