Papers by Cangzhi Zheng

1 papers
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs (2025.acl-long)

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Challenge: Multimodal Sentiment Analysis (MSA) is a rapidly developing field that integrates multimodal information to recognize sentiments.
Approach: They propose a multimodal fusion model that integrates multimodal information to recognize sentiments using multimodal transformers.
Outcome: The proposed model achieves significantly higher performance than MulTs and the existing model is robust.

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