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Jingliang Hu

2 papers indexed

arxivcs.CV2026-07-17

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

Lichao Mou, Shilan Zhang, Chunlei Li, Bingcong Yan, Jingliang Hu, Yilei Shi, et al.

Large vision-language models (LVLMs) can be adapted to specialized medical imaging tasks via parameter-efficient fine-tuning approaches such as low-rank adaptation (LoRA), leading to a growing ecosystem of expert models tailored to specific imaging modalities and clinical scenari…

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arxivcs.CV2026-07-02

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports

Bingcong Yan, Chunlei Li, Jingliang Hu, Yilei Shi, Xiao Xiang Zhu, Lichao Mou

Large vision-language models (LVLMs) have achieved strong performance across many medical imaging tasks, yet their application to ultrasound remains limited due to its inherent complexity and variability. In this work, we revisit what is truly needed to enable real-world ultrasou…

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