My work aims to solve complex real-world problems such as infectious disease transmission risk assessment and prediction, adaptive intervention strategy inference, and effective cooperative behavior learning in multi-agent systems. My research spans AI/ML methodology development and application deployment in the context of infectious disease dynamics, organized into the four topics below. Each topic lists representative publications, and the complete list is maintained on the About Me page.
MARL for Learning Cooperative Behavior in Multi-agent Systems
Developing multi-agent reinforcement learning methods that learn effective cooperative behavior under complex and dynamic interactions.
Probing Diametric Coordination Graphs for Multi-Agent Reinforcement Learning
Artificial Intelligence, volume 359, 104603 [paper]
ML for Assessing Infectious Disease Risk and Inferring Transmission Patterns
Using machine learning to assess transmission intensity, uncover hidden transmission patterns, and identify heterogeneous risk factors from spatiotemporal surveillance data.
Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia
Infectious Disease Modelling, 8(1), 253-269 [paper]
TransCode: Uncovering COVID-19 transmission patterns via deep learning
Infectious Diseases of Poverty, 12(1), 1-20 [paper]
ML for Epidemic Dynamics Prediction
Forecasting epidemic dynamics with epidemiological priors and deep spatiotemporal models, including survey-level syntheses of the field.
Machine Learning for Infectious Disease Risk Prediction: A Survey
ACM Computing Survey, 57(8), Article 212 [paper] [supplementary]
Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23) [paper] [poster] [code]
ML & RL for Infectious Disease Control
Inferring adaptive intervention strategies and allocating limited resources for effective disease control.
Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
2025 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (Accepted) [paper]
Optimal resource allocation with spatiotemporal transmission discovery for effective disease control
Infectious Diseases of Poverty, 11(1), 1-11 [paper]
A complete and up-to-date publication list is available on the About Me page and on Google Scholar.