Papers

2

Total Citations

14

H-Index

2

About

Dr. Yonghong Peng is a leading researcher in artificial intelligence, with a primary focus on social intelligence, human behavior analysis, and ambient intelligence. His work bridges the gap between machine perception and complex social understanding. A key contribution is his development of a **Multi-Level Transformer-Based Social Relation Recognition** system (2022, 11 citations), which advances the ability of AI to interpret nuanced human connections from visual data—a critical step toward more sophisticated social robots and intelligent systems. Dr. Peng also tackles practical challenges in **Ambient Intelligence Assisted People Search** (2018, 3 citations), where he proposed an adaptive ensemble approach to overcome the limitations of traditional facial recognition in localized, data-scarce environments. His research is notable for its focus on real-world applicability, moving beyond controlled datasets to address the complexities of dynamic social interactions. By pioneering methods that allow machines to understand not just *who* people are, but *how* they relate to one another, Dr. Peng is laying the groundwork for the next generation of context-aware, socially intelligent technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Level Transformer-Based Social Relation Recognition
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Manchester Metropolitan University, University of Sunderland

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago