1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization
Lijian Li
Multi-view clustering (MVC) has emerged as a powerful technique for extracting valuable insights from data characterized by multiple perspectives or modalities. Despite significant…
cs.CV2024
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Lijian Li
Recently, prototype learning has emerged in semi-supervised medical image segmentation and achieved remarkable performance. However, the scarcity of labeled data limits the express…
cs.CV2024★ 1 cited
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li
Although the existing uncertainty-based semi-supervised medical segmentation methods have achieved excellent performance, they usually only consider a single uncertainty evaluation…