Chenyuan Wang

2 accepted papers

2026

MedVCoT: Bridging the Modality Gap in Medical VQA Through Latent Visual Reasoning

Bo Xu, Quanhao Zhu, Boling Zhu, Chenyuan Wang, Liang Zhao, Hongfei Lin +1

IJCAI 2026

With the rising demand for trustworthy AI in clinical practice, strong interpretability is now a critical requirement as well as accuracy. However, the modality gap for medical visual question answering is quite severe when continuous visual signals are forcibly projected into discrete text space fo

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2026

MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding

Bo Xu, Chenyuan Wang, Xinyu Chen, Hongfei Lin, Feng Xia

AAAI 2026technical

Meme is an expressive medium that often conveys rich emotions and intentions. Recent studies have confirmed the critical role of metaphors in meme understanding. However, existing metaphor research heavily relies on manual annotations, and mainstream vision-language models (VLMs) still struggle with

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