Shi-ang Qi
Scholar

Shi-ang Qi

Google Scholar ID: EcXcCD4AAAAJ
PhD Student, University of Alberta
survival analysisbioinformaticsexplainable AIML for healthcarerecommender system
Citations & Impact
All-time
Citations
605
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published 'Toward Conditional Distribution Calibration in Survival Prediction' at NeurIPS 2024
  • Published 'Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration' at ICML 2024
  • Published 'PepRec: Progressive Enhancement of Prompting for Recommendation' at EMNLP 2024
  • Published 'SurvivalEVAL: A Comprehensive Open-Source Python Package for Evaluating Individual Survival Distributions' at SPACA
  • Co-authored ECG-based individual survival prediction work presented at SPACA
  • Published study on supervised ECG features outperforming others in individualized survival prediction at ML4H 2023
  • Published 'iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models' at CIKM 2023
Background
  • Research interests lie at the intersection of machine learning, deep learning, bioinformatics, survival analysis, and causal inference in healthcare applications
  • Currently focused on theoretical optimization of survival analysis
  • Working on building effective and interpretable individual survival distribution models to identify actionable factors in breast cancer
  • Collaborating with Alberta's Tomorrow Project
  • Research direction is highly multidisciplinary