Zihan Yu

Papers

Total Citations

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About

Zihan Yu is a rising researcher at the intersection of artificial intelligence, natural language processing, and human-robot interaction. Their work centers on advancing emotional intelligence in machines, particularly through the development of dialogue systems that can perceive and respond to human mood and semantics. Yu’s most cited paper, “A Mood Semantic Awareness Model for Emotional Interactive Robots” (2024), introduces the innovative Icc_dialogue model, which enhances semantic awareness to enable more natural and empathetic human-machine communication. This contribution addresses a critical gap in emotional interactive robotics, where understanding user affect is key to building trust and engagement. Though early in their career, Yu’s research has already garnered attention, with the paper accumulating citations that signal growing interest in affective computing. Their work holds promise for applications in companion robots, mental health support, and customer service AI, positioning Yu as a researcher to watch in the evolving field of emotionally aware technology.