Ruiyun Yu

Papers

Total Citations

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About

Ruiyun Yu is a leading researcher at the intersection of artificial intelligence, the Internet of Vehicles (IoV), and affective computing. His work focuses on enabling intelligent systems to perceive, predict, and interact with humans in complex, dynamic environments. Yu’s most cited paper, "TraGCAN: Trajectory Prediction of Heterogeneous Traffic Agents in IoV Systems" (2022, 19 citations), addresses a critical challenge in autonomous driving and social robot navigation. By developing a novel graph-based model, he advances the ability to accurately predict the future paths of diverse traffic participants—such as vehicles and pedestrians—in complex road conditions, a key step toward safer, more reliable autonomous systems. Complementing this technical work, Yu explores the human side of intelligent interaction. In "Correlation Analyses Between Personality Traits and Personal Behaviors Under Specific Emotion States Using Physiological Data from Wearable Devices" (2018, 7 citations), he pioneers the use of wearable sensor data to link personality, emotion, and behavior. This research lays groundwork for creating more empathetic, personalized AI companions and robots. Through these contributions, Yu is helping to build a future where machines not only navigate our world but also understand the people within it.