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 (5), 2023)

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. - Yibo Gao; Zheyao Gao; Xin Gao; Yuanye Liu; Bomin Wang; Xiahai Zhuang (MICCAI (10), 2024)

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. - Zilong Wang; Xinyang Ge; Xiaorong Chen; Lei Li 020; Wangbin Ding; Yuanye Liu; Fuping Wu; Dengqiang Jia (ShapeMI@MICCAI, 2024)

A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging. - Yuanye Liu; Jinyang Liu 004; Renwei Dian; Shutao Li (CVPR, 2025)

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 Anal., 2025)

Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization. - Yuanye Liu; Jiahang Xu; Li Lyna Zhang; Qi Chen 009; Xuan Feng; Yang Chen; Zhongxin Guo; Yuqing Yang 001; Peng Cheng 005 (CoRR, 2025)

Low-Rank Transformer for High-Resolution Hyperspectral Computational Imaging. - Yuanye Liu; Renwei Dian; Shutao Li (Int. J. Comput. Vis., 2025)

Spectral Super-Resolution via Deep Low-Rank Tensor Representation. - Renwei Dian; Yuanye Liu; Shutao Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Hyperspectral Image Fusion via a Novel Generalized Tensor Nuclear Norm Regularization. - Renwei Dian; Yuanye Liu; Shutao Li (IEEE Trans. Neural Networks Learn. Syst., 2025)