Papers
2
Total Citations
79
H-Index
2
About
Yongfeng Qian is a leading researcher at the intersection of affective computing, cloud robotics, and multimedia security. His work focuses on enabling humanoid robots to understand and respond to human emotions while ensuring the privacy and security of sensitive emotional data. Qian’s most cited paper, “Emotion-Aware Multimedia Systems Security” (2018, 74 citations), tackles the critical challenge of securely acquiring sufficient data for deep learning-based emotion analysis, proposing frameworks that protect user privacy during continuous emotional care. His earlier foundational work, “Cloud-assisted humanoid robotics for affective interaction” (2016), leverages cloud computing and big data to give robots affective interaction abilities, paving the way for more natural human-robot collaboration in households and personal services. By integrating machine learning with cloud architectures, Qian has advanced the development of socially intelligent robots that can provide empathetic, secure, and personalized assistance. His research is vital for the future of healthcare, elder care, and human-robot interaction, where emotional understanding and data protection are paramount.
Research Focus
Key Achievements
Top Papers
- 1Emotion-Aware Multimedia Systems Security74 citations · 2018
- 2Cloud-assisted humanoid robotics for affective interaction5 citations · 2016