From the 1 of 4 linked papers with an AI index.
4 papers
Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning
Jifan Zhang, Miklos Racz, Suqi Liu
The paper proposes a theoretically grounded two-stage framework that first unsupervisedly pretrains on heterogeneous data and then performs supervised learning for knowledge graph…
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
Hongyi Yuan, Suqi Liu, Kelly Cho +3
We introduce GENomic Encoding REpresentation with Language Model (GENEREL), a framework designed to bridge genetic and biomedical knowledge bases. What sets GENEREL apart is its ab…
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
Suqi Liu, Tianxi Cai, Xiaoou Li
A large-scale knowledge graph enhances reproducibility in biomedical data discovery by providing a standardized, integrated framework that ensures consistent interpretation across…