# denote equal contribution.

Preprint

• Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization

  Yuanye Liu#, Jiahang Xu#, Li Lyna Zhang, Qi Chen, Xuan Feng, Yang Chen, Zhongxin Guo, Yuqing Yang, Cheng Peng
  [Arxiv] [Code]
  

Journal

• MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging

  Yuanye Liu#, Zheyao Gao#, Nannan Shi#, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
  Medical Image Analysis
  [MedIA] [Arxiv] [Code]
  

Conferences

• A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging

  Zheyao Gao#, Yuanye Liu#, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
  MICCAI2023 (Oral presentation, Nomination for best paper and young scientist award ). [MICCAI] [Code]
  

• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

  Yibo Gao, Zheyao Gao , Xin Gao , Yuanye Liu, Bomin Wang , and Xiahai Zhuang
  MICCAI2024. [MICCAI][Arxiv]
  

• Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution

  Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, and Dengqiang Jia
  MICCAI2024 Workshop. [MICCAI]