3 papers
cs.CV2026
Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge
Xin Wu, Fei Teng, Yue Feng +4
Partial multi-label learning aims to extract knowledge from incompletely annotated data, which includes known correct labels, known incorrect labels, and unknown labels. The core c…
cs.LG2025
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Xin Wu, Fei Teng, Ji Zhang +2
An ideal time series classification (TSC) should be able to capture invariant representations, but achieving reliable performance on out-of-distribution (OOD) data remains a core o…
eess.IV2025
Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
Yutao Hu, Ying Zheng, Shumei Miao +20
Foundation models have demonstrated remarkable potential in medical domain. However, their application to complex cardiovascular diagnostics remains underexplored. In this paper, w…