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Hongyi Lin

2 accepted papers

2025

Enhancing Incomplete Multimodal Learning via Modal Complementary Recovering

ICASSP 2025accepted

Multimodal learning presents significant challenges arising from the unpredictable absence of modalities during both training and testing phases. Existing recovery methods struggle to leverage the available data, which can introduce additional noise during the recovery process and degrade performanc…

Cited by 0SourceScholar
2025

Local Feature Alignment Prompt-Tuning for Few-shot Multimodal Aspect Sentiment Analysis

ICASSP 2025accepted

Multi-modal aspect-oriented sentiment classification (MASC) is a fine-grain task, which aims to detect the sentiment polarity of specific aspect. However, conventional studies suffer from two issues. It is difficult to collect the annotated multi-modal data in fine-grained domains. Meanwhile, the lo…

Cited by 0SourceScholar