34 citations · 76 across the 5 of their papers we have counts for
5 papers
Distributionally Robust Cross Subject EEG Decoding
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto +3
Recently, deep learning has shown to be effective for Electroencephalography (EEG) decoding tasks. Yet, its performance can be negatively influenced by two key factors: 1) the high…
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
Fang Li, Yi Nian, Zenan Sun +1
Graph representation learning (GRL) has emerged as a pivotal field that has contributed significantly to breakthroughs in various fields, including biomedicine. The objective of th…
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Yifang Dang, Fang Li, Xinyue Hu +11
Social determinants of health (SDoH) have a significant impact on health outcomes and well-being. Addressing SDoH is the key to reducing healthcare inequalities and transforming a…
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing
Yi Nian, Xinyue Hu, Rui Zhang +5
To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and h…
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
Yi Nian, Jingcheng Du, Larry Bu +4
To date, there are no effective treatments for most neurodegenerative diseases. However, certain foods may be associated with these diseases and bring an opportunity to prevent or…