22 citations · 27 across the 5 of their papers we have counts for
5 papers
Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion
Zhongyu Huang, Changde Du, Chaozhuo Li +2
The brain basis of emotion has consistently received widespread attention, attracting a large number of studies to explore this cutting-edge topic. However, the methods employed in…
Human-like object concept representations emerge naturally in multimodal large language models
Changde Du, Kaicheng Fu, Bincheng Wen +10
Understanding how humans conceptualize and categorize natural objects offers critical insights into perception and cognition. With the advent of Large Language Models (LLMs), a key…
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning
Kaicheng Fu, Changde Du, Xiaoyu Chen +2
Emotion decoding plays an important role in affective human-computer interaction. However, previous studies ignored the dynamic real-world scenario, where human experience a blend…
Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity
Kaicheng Fu, Changde Du, Shengpei Wang +1
Decoding emotional states from human brain activity plays an important role in brain-computer interfaces. Existing emotion decoding methods still have two main limitations: one is…
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li +1
Decoding human visual neural representations is a challenging task with great scientific significance in revealing vision-processing mechanisms and developing brain-like intelligen…