Yingxin Liu — accepted AI-conference papers

2025

MMFN: Multi-Feature Multi-Modal Fusion Network for Diagnosis of Superficial Lymph Node Disease

Yuankun Wang, Cheng Zhao, Yingxin Liu, Baiying Lei, Tianfu Wang, Luyao Zhou

ICASSP 2025accepted

The difficulty in identifying lymph node malignancies, including lymphoma and metastatic tumors, pose a diagnostic challenge at their primary sites. Given the heterogeneity of lymph node structures across different regions and the difficulty in distinguishing them from surrounding tissues, accurate…

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2024

Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation

Tianxin Zhao, Yingxin Liu, Xiangdong Su, Jiang Li, Guanglai Gao

COLING 2024main

The mainstream approaches view the knowledge graph-to-text (KG-to-text) generation as a sequence-to-sequence task and fine-tune the pre-trained model (PLM) to generate the target text from the linearized knowledge graph. However, the linearization of knowledge graphs and the structure of PLMs lead t…

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