❕ Research Focus

My research focuses on leveraging advanced artificial intelligence techniques to analyze large-scale ICU clinical data for knowledge discovery. Utilizing the MIMIC-III/IV and eICU databases, I have established substantial expertise in ICU-related studies, including:

• Early prediction of sepsis onset in ICU patients
• Disease phenotype identification
• Short- and long-term outcome prediction for ICU patients
• Optimal treatment policy learning from observational data

⭕ Current Research Interests

• Decision-making under Uncertainty
  • Developing robust policy optimization methods for heterogeneous clinical datasets
  • Constructing actionable decision support frameworks when optimal policies are unattainable
  • Theoretical characterization of decision-support capability boundaries in medical applications
• Interpretable AI & Validation Methodologies
  • Causal machine learning using observational data
  • Interpretable reinforcement learning

💬 Under Review

• (2025-05) Hongwei He, Yun Li, Yuan Cao, Mucan Liu, Chonghui Guo*, Hongjun Kang*. Heterogeneous Policy Adaptive Fusion with Offline Reinforcement Learning for Sepsis-induced Thrombocytopenia Treatment Recommendation. (Artificial Intelligence in Medicine)
• (2024-12) Hongwei He, Mucan Liu, Chonghui Guo*. “Dynamic Ensemble, then Knowledge Distillation”: A SHAP-driven Two-Stage Framework for Sepsis Mortality Prediction. (IEEE Journal of Biomedical and Health Informatics)
• (2024-04) Mucan Liu, Chonghui Guo*, Hongwei He. Timing Matters: Timing-Aware Cost Sensitive Early Sepsis Real-Time Warning. (Annals of Operations Research).
• * Corresponding Author

📝 Publications

• Chai, R., He, H., Liu, D., & Chen, J. (2024). A fuzzy multi-objective programming model for the delivery and distribution of humanitarian relief materials. Engineering Applications of Artificial Intelligence, 137, 109113. (中科院一区, JCR Q1, IF=7.5)

🥇 Honors and Awards

• 2023.06 China University of Petroleum (East China), Inaugural Honor Bachelor (Only 1 in major cohort of 80), Outstanding Graduation Thesis Award (University-level), Outstanding Graduate.
• 2024.10 Dalian University of Technology, Outstanding Postgraduate Student.
• 2024.11 1st Prize, 5th Healthcare AI Conference & Datathon, hosted by the Medical Innovation Research Department of the Chinese PLA General Hospital.

📖 Educations

• 2019.09 - 2023.06
  • China University of Petroleum (East China), School of Economics & Management, Information Management and Information Systems, Bachelor of Management.
  • 中国石油大学（华东），经济管理学院，信息管理与信息系统，管理学学士.
• 2023.09 - Present
  • Dalian University of Technology, School of Economics & Management, Institute of Systems Engineering, Ph.D. Candidate in Management Science and Engineering.
  • 大连理工大学，经济管理学院，系统工程研究所，管理科学与工程专业在读博士生.

🚀 Activities

• 2024.07, “Dynamic Ensemble, then Knowledge Distillation”: A SHAP-driven Two-Stage Framework for Sepsis Mortality Prediction, 中国系统工程学会数据科学与知识系统工程专业委员会第四届学术年会, 辽宁大连.
• 2025.02, 和鲸社区医学统计系列workshop, 一种基于动态集成学习的脓毒症患者死亡风险预测方法.