Carl J. Yang
Scholar

Carl J. Yang

Google Scholar ID: mOINlwcAAAAJ
Assistant Professor of Computer Science at Emory University
graph data miningapplied machine learningknowledge graphsfederated learning
Citations & Impact
All-time
Citations
7,097
 
H-index
43
 
i10-index
110
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • Has over 200 peer-reviewed publications in top venues across AI/ML and medicine/healthcare. Recipient of the ACM SIGKDD Rising Star Award (2025), NSF CAREER Award (2025), NIH K25 (Career) Award (2023), and multiple Best Paper Awards, including MedInfo 2025, KDD Health Day 2022, ML4H 2022, and ICDM 2020.
Research Experience
  • Pursued doctoral studies at the University of Illinois, Urbana-Champaign, and has published extensively in top-tier conferences and journals. Served as an organizer and chair for multiple international conferences, such as co-chair for KDD 2025 Health Day and local chair for AMIA 2025 KDDM Workshop.
Education
  • Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign (2020); B.Eng. in Computer Science and Engineering from Zhejiang University (2014).
Background
  • Assistant Professor of Computer Science at Emory University, jointly appointed in the Rollins School of Public Health and Nell Hodgson Woodruff School of Nursing. His research interests span data mining, deep learning, multimodality foundation models, and trustworthy AI, with applications in graph analytics, neuroscience, biomedicine, and healthcare.
Miscellany
  • Open to discussing research opportunities with motivated students who have strong backgrounds in machine learning and/or health informatics and are ready to devote time and effort to a research project.