Shuteng Niu
Scholar

Shuteng Niu

Google Scholar ID: sSWFYOsAAAAJ
Departmen of Artificial Intelligence & Informatics, Mayo Clinic
Transfer LearningGraph Representation LearningBiomedical Informatics
Citations & Impact
All-time
Citations
2,044
 
H-index
20
 
i10-index
31
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including works accepted at CIKM 2025, ECML-PKDD 2025, IEEE BigData 2024, and other conferences. His students have also published several papers in international conferences.
Research Experience
  • Currently a researcher in the Department of Artificial Intelligence & Informatics at Mayo Clinic, Florida Campus. Involved in multiple research projects related to high-dimensional EHR mining, continual learning, and drug repurposing.
Education
  • Ph.D. in Computer Science from Embry-Riddle Aeronautical University. Previously, he was an assistant professor of computer science at BGSU and a postdoctoral research fellow at the School of Biomedical Informatics, UTHealth.
Background
  • Research interests include Transfer Learning (TL), Graph Representation Learning (GRL), and BioMedical Informatics (BMI). Currently, he is working on high-dimensional EHR mining, efficient continual learning for personalized healthcare services, and graph-driven drug repurposing.
Miscellany
  • Personal interests and other information not mentioned.