Hongying Meng
Papers
6
Total Citations
262
H-Index
3
About
Hongying Meng is a leading researcher in artificial intelligence, cognitive systems, and human-computer interaction, with a particular focus on emotion recognition and bio-inspired visual processing. His most impactful work, an artificial intelligent system for automatic depression level analysis through visual and vocal expressions (2017, 209 citations), demonstrates his pioneering contributions to affective computing—enabling machines to detect human mental states from gestures and facial expressions. This work has significant implications for mental health diagnostics and human-robot interaction. Additionally, Meng has made notable contributions to neuromorphic engineering, developing modified neural network models for the Lobula Giant Movement Detector (LGMD) inspired by locust visual systems, with applications in collision avoidance and depth perception. His research extends to ensemble classifiers for social touch gesture recognition and automatic emotional state detection from facial expression dynamics. With a career spanning bio-inspired vision models to practical AI systems for mental health assessment, Meng’s work bridges fundamental neuroscience and applied machine learning, offering innovative solutions for cognitive robotics and assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 6Disparity Estimation from Holoscopic Elemental Images2 citations · 2021