activity
20162026
most citedHuman-like object concept representations emerge naturally in multimodal large language models

22 citations · 37 across the 17 of their papers we have counts for

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eess.SP2022★ 2 cited

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…

eess.SP2018

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data

Changde Du, Changying Du, Hao Wang +4

There are threefold challenges in emotion recognition. First, it is difficult to recognize human's emotional states only considering a single modality. Second, it is expensive to m…