Yuanye Liu - RankMe

17 papers A* 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-stream hierarchical Mamba for high-resolution hyperspectral fusion imaging. Inf. Fusion Jiayu Cui, Yuanye Liu, Renwei Dian, Shutao Li, Jinyang Liu
2025	A*	`conf`	A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging. CVPR Yuanye Liu, Jinyang Liu, Renwei Dian, Shutao Li
2025	—	`conf`	BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images. MICCAI (13) Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang
2025	J	`jnl`	Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization. CoRR Yuanye Liu, Jiahang Xu, Li Lyna Zhang, Qi Chen, Xuan Feng, Yang Chen, Zhongxin Guo, Yuqing Yang, Peng Cheng
2025	J	`jnl`	Heterospectral Structure Compensation Sampling for Hyperspectral Fusion Computational Imaging. IEEE Trans. Image Process. Jinyang Liu, Shutao Li, Heng Yang, Renwei Dian, Yuanye Liu
2025	J	`jnl`	Hyperspectral Image Fusion via a Novel Generalized Tensor Nuclear Norm Regularization. IEEE Trans. Neural Networks Learn. Syst. Renwei Dian, Yuanye Liu, Shutao Li
2025	J	`jnl`	Liver Fibrosis Quantification and Analysis: The LiQA Dataset and Baseline Method. CoRR Yuanye Liu, Hanxiao Zhang, Jiyao Liu, Nannan Shi, Yuxin Shi, Arif Mahmood, Murtaza Taj, Xiahai Zhuang
2025	J	`jnl`	Low-Rank Transformer for High-Resolution Hyperspectral Computational Imaging. Int. J. Comput. Vis. Yuanye Liu, Renwei Dian, Shutao Li
2025	J	`jnl`	MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging. Medical Image Anal. Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
2025	J	`jnl`	Spatial Invertible Network With Mamba-Convolution for Hyperspectral Image Fusion. IEEE J. Sel. Top. Signal Process. Lin Xiao, Shuo Guo, Feng Mo, Qiya Song, Yining Yang, Yuanye Liu, Xiaohui Wei, Tao Yang, Renwei Dian
2025	J	`jnl`	Spectral Super-Resolution via Deep Low-Rank Tensor Representation. IEEE Trans. Neural Networks Learn. Syst. Renwei Dian, Yuanye Liu, Shutao Li
2024	—	`conf`	Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. ShapeMI@MICCAI Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia
2024	—	`conf`	Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. MICCAI (10) Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang
2024	J	`jnl`	Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis. CoRR Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang
2024	J	`jnl`	MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging. CoRR Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
2023	—	`conf`	A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. MICCAI (5) Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
2023	J	`jnl`	A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. CoRR Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang