Yuanye Liu

I'm a PhD student 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.

I support Chengdu Rongcheng (CSL), Manchester United (Premier League), and the China National Team.

News

[Jun 18, 2025] One paper was accepted by MICCAI2025 and was selected as Oral presentation.
[Feb 11, 2025] One paper was accepted by Medical Image Analysis (IF=10.7).
[Jul 09, 2024] I start my internship at MSRA.
[Aug 17, 2023] Our MICCAI paper was selected as Oral presentation and nominated for MICCAI Best Paper and Young Scientist Award!
[May 25, 2023] One paper was accepted by MICCAI2023 (Early Accept, top 14%).

A full list of publications is here. (# indicates equal contribution.)

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, 2025.
MedIA / Arxiv / Code

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed distribution in Medical
Yuanye Liu#, Ruoxuan Zhen#, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang
MICCAI, 2025. (Oral presentation)

	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, 2025. 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 / Presentation

Microsoft Research Asia - Research Intern(July 2024 - Present)
Manager: Jiahang Xu