Tang’s AI Lab

See also: Team.

Publications

2025

• Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
  [link]
  
  

  Yingchuan Sun, Shengpu Tang
  

  ML4H 2025 - Proceedings Track. Also presented at workshops: ARLET @ NeurIPS 2025, TS4H @ NeurIPS 2025, RL4RS @ RLC 2025

• An Adaptive Machine Learning Triage Framework for Predicting Alzheimer’s Disease Progression
  [link to appear]
  
  

  Richard Hou, Shengpu Tang^*, Wei Jin^*
  

  ML4H 2025 - Findings Track, 2025
• Off by a Beat: Temporal Misalignment in Offline RL for Healthcare
  [link]
  
  

  Shengpu Tang, Jiayu Yao, Jenna Wiens, Sonali Parbhoo
  

  RLC 2025 Finding the Frame Workshop; RLC 2025 RL4RS Workshop
• Reconciling Set-Valued Policy & Dead-End Discovery in RL: An Empirical Analysis
  [link]
  
  

  Sixing Wu, Shengpu Tang
  

  RLC 2025 CoCoMARL Workshop; RLC 2025 Finding the Frame Workshop
• Between Life and Death: Examining Sparse Reward Designs in Healthcare RL
  [link]
  
  

  Yuxuan Shi^*, Matthew Lafrance^*, Shengpu Tang
  

  RLC 2025 RL4RS Workshop