I'm a M.Sc in School of Data Science, Fudan University. Now I'm under the supervision of Prof.Xiahai Zhuang. I received my bachelor degree in School of Data Science, Fudan University. I have completed my internship at Microsoft Research Asia under the supervision of Jiahang Xu.

My research interests are mainly about machine learning, computer vision and medical image computing.

Address: School of Data Science, Fudan University, 220 Handan Rd., Yangpu Dist., Shanghai, China, 200000.

AWARD

• Microsoft Star of Tomorrow Award (top ~30%) [2024]
• MICCAl Best Paper and Young Scientist Award finalist [2023]
• MICCAI STAR award (top ~3%) [2023]
• Excellent Graduate Award of Shanghai (top 5%) [2023]
• Fudan University Undergraduate Scholarships (top ~30%) [2020,2021,2022,2023]

NEWS

• [Feb 11, 2025] One paper was accepted by Medical Image Analysis (IF=10.7).
• [July 9, 2024] I start my internship in MSRA.
• [Sept 20, 2023] Our MICCAI paper was selected as candidate for MICCAI Best Paper and Young Scientist Award!
• [Aug 17, 2023] Our MICCAI paper was selected as oral presentation!
• [May 25, 2023] A paper was accepted by MICCAI2023 (Early Accept, top 14% in total 2253 submissions).

SELECTED PUBLICATIONS

Full publication list can be found in Google Scholar

• 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]

• 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]

• 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
  MICCAI 2023 (Oral presentation, nominated for Best Paper and Young Scientist Award)
  [MICCAI] [Code]