Author

Zongbo Han

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#machine learning Preprint Aug 2026

Fusion Anything: A Generalized Multimodal Foundation Model

Making prediction with multimodal data is widely used in diverse scenarios. Existing multimodal fusion models, once deployed, can only handle predefined modalities (e.g., vision, text and audio) and single task, making it difficult to quickly adapt to new downstream applications. Therefore, a natural yet aggressive que...

Hui-Zi Cui, Zong-Bo Han, Chen Ding et al. · 0 citations

Open access Aug 2026

A unified framework and benchmark for generalizable biomedical knowledge extraction and applications with large language models

Results demonstrate that InfoFlowEX equips LLMs with robust adaptability, achieving consistent gains over baselines with minimal task-specific customization, highlighting InfoFlowEX for real-world biomedical applications.

Wuyang Lan, Siqi Zhang, Wenzheng Wang et al. · Cell Reports Medicine · 0 citations