22 citations · 34 across the 15 of their papers we have counts for
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cs.AI2026
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
Yizhuo Lu, Changde Du, Qingyu Shi +5
Modeling the interplay between external stimuli and internal neural representations is a pivotal research area for Brain-Computer Interfaces (BCIs). A major limitation of prior wor…
cs.AI2024★ 22 cited
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…
cs.AI2024★ 1 cited
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…