I am a Ph.D. student at Mornin’s Lab, National University of Singapore, supervised by Prof. Feng Mengling. My research focuses on applying machine learning, especially reinforcement learning (RL) to optimize decision-making process with wide applications in healthcare. My current research interests include offline RL, hierarchical RL, and world models. Previously, I have also worked on continual learning, generative models with applications in image segmentation, and time-series data.

I graduated from Nanyang Technological University with a bachelor’s degree from Electrical and Electronic Engineering. I was awarded with NTU Science and Engineering Undergraduate Scholarship in 2019.

🔥 News

2025.11: 🎉🎉 Our paper medDreamer was accepted to KDD 2026.
2024.12: 🎉🎉 Our IMAGINE AI 2024 Expo was successfully held.
2024.10: 🎉🎉 Our paper EZ-Vent was accepted to JMIR.
2023.08: 🎉🎉 Started my journey as a Ph.D. student.

📝 Publications

KDD'26

medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support Qianyi Xu, Gousia Habib, Feng Wu, Dilruk Perera, Mengling Feng

JMIR

Reinforcement Learning to Optimize Ventilator Settings for Patients on Invasive Mechanical Ventilation: Retrospective Study

Siqi Liu*, Qianyi Xu*, Zhuoyang Xu, Zhuo Liu, Xingzhi Sun, Guotong Xie, Mengling Feng, Kay Choong See

arxiv

Advancing multi-organ disease care: A hierarchical multi-agent reinforcement learning framework

Daniel J Tan*, Qianyi Xu*, Kay Choong See, Dilruk Perera, Mengling Feng

BELIEF'24

An Evidence-based Framework For Hetero-geneous Electronic Health Records: A Case Study In Mortality Prediction Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng

🎖 Honors and Awards

2024.12 IMAGINE AI Datathon 2024 1st-Runner Up
2022.06 Summer@EPFL Fellowship (2%)
2020, 2022 Dean’s List (5%)
2019.08 NTU Science and Engineering Undergraduate Scholarship

📖 Educations

2013.08 - Present, National University of Singapore (NUS), Ph.D. at Saw Swee Hock School of Public Health, supervised by Prof. Feng Mengling.
2019.08 - 2023.06, Nanyang Technological University (NTU), B.E. at School of Electrical and Electronic Engineering (GPA: 4.81/5.00).

💬 Professional Service

Reviewer

IJCAI 2025

Organizer

2024.12, IMAGINE AI Datathon.

Moderator

2024.12, IMAGINE AI WISTA.

💻 Internships