Zeming Sun

China United Network Communications Group (China)

Papers

Total Citations

H-Index

About

Zeming Sun is a researcher at the forefront of human-robot interaction and virtual reality, with a focus on making digital agents more intuitive and responsive. His key research areas include multimodal perception, natural language processing, and embodied conversational systems. Sun’s most notable contribution is his work on multimodal activity detection, where he addresses a critical limitation in virtual humans and metaverse interactions: the problem of unintended wake-up in voice-only systems. By integrating visual and auditory cues, his proposed framework significantly improves the naturalness and reliability of face-to-face human-robot conversation. His 2023 paper on this topic has already garnered 4 citations, reflecting its early impact on the field. Sun’s research is particularly relevant for advancing virtual human technologies in immersive environments, where seamless, context-aware interaction is essential. His work not only enhances user experience but also sets the stage for more sophisticated, non-intrusive human-machine communication. As the metaverse and virtual reality continue to evolve, Sun’s contributions are poised to play a pivotal role in shaping how we interact with digital beings.