2 citations · 3 across the 6 of their papers we have counts for
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cs.LG2026
E^2-LLM: Bridging Neural Signals and Interpretable Affective Analysis
Fei Ma, Han Lin, Yifan Xie +4
Emotion recognition from electroencephalography (EEG) signals remains challenging due to high inter-subject variability, limited labeled data, and the lack of interpretable reasoni…
cs.LG2024★ 2 cited
A Review of Human Emotion Synthesis Based on Generative Technology
Fei Ma, Yukan Li, Yifan Xie +8
Human emotion synthesis is a crucial aspect of affective computing. It involves using computational methods to mimic and convey human emotions through various modalities, with the…
cs.LG2024★ 1 cited
Generative Technology for Human Emotion Recognition: A Scope Review
Fei Ma, Yucheng Yuan, Yifan Xie +6
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue machines with the ability to comprehend and respond to human emotions. Central to this…