论文详情
- 英文标题
- BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals
- 作者
- Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu
- 期刊/会议
- ICLR 2026 Oral
- 发表年份
- 2026 年
- 研究方向
- clinical prediction
ICLR 2026 Oral accepted paper at ICLR 2026. Biosignals offer valuable insights into the physiological states of the human body. Although biosignal modalities differ in functionality, signal fidelity, sensor comfort, and cost, they are often intercorrelated, reflecting the holistic and interconnected nature of human physiology. This opens up the possibility of performing the same tasks using alternative biosignal modalities, thereby improving the accessibility, usability, and adaptability of health monitoring systems. However, the limited availability of large labeled datasets presents challenges for training models tailored to specific tasks and modalities of interest.
