2 citations · 4 across the 3 of their papers we have counts for
4 papers
SMI: Ontology-Grounded Semantic IDs for Hierarchy-Aware Medical Concept Representation
Ziyang Song, Lia Shen, Yixuan Li +6
Biomedical language models (LMs) provide strong representations for clinical tasks, but they often fail to capture the hierarchical structure among medical concepts. This limitatio…
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Ziyang Song, Qingcheng Lu, He Zhu +2
In many domains, such as healthcare, time-series data is often irregularly sampled with varying intervals between observations. This poses challenges for classical time-series mode…
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
Ziyang Song, Qincheng Lu, He Zhu +2
Learning time-series representations for discriminative tasks, such as classification and regression, has been a long-standing challenge in the healthcare domain. Current pre-train…
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
Ziyang Song, Qincheng Lu, Hao Xu +3
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success in Natural Language Processing and Computer Vision domains. However, the development…