Papers
40
Total Citations
1,353
H-Index
16
About
Dr. Zhentao Liu is a leading researcher in affective computing and human-robot interaction (HRI), specializing in enabling machines to perceive, interpret, and respond to human emotions. His major contributions lie in developing novel machine learning frameworks for multimodal emotion recognition, integrating speech, facial expressions, and even electroencephalogram (EEG) signals. Notably, his work on a facial expression emotion recognition based human-robot interaction (FEER-HRI) system (179 citations) allows robots not only to recognize emotions but also to generate adaptive facial expressions. His highly cited paper on speech emotion recognition using feature selection and extreme learning machine decision trees (260 citations) demonstrates his impact in the field. Dr. Liu has also pioneered advanced models like the weight-adapted convolution neural network (WACNN) for facial expression recognition (89 citations) and the three-layer weighted fuzzy support vector regression (TLWFSVR) for emotional intention understanding (74 citations). With over 1,000 total citations across his top works, Dr. Liu’s research is foundational for creating socially intelligent robots capable of natural, empathetic interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2A facial expression emotion recognition based human-robot interaction system179 citations · 2017
- 3Speech emotion recognition based on an improved brain emotion learning model169 citations · 2018
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- 9A multimodal emotional communication based humans-robots interaction system38 citations · 2016
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