Mutong LIU

Hello there! I am Mutong LIU (刘牧潼), a Ph.D. candidate in the Department of Computer Science at Hong Kong Baptist University, supervised by Prof. Yang LIU and co-supervised by Prof. Jiming LIU. Prior to that, I received a Bachelor of Engineering from Southwest University (Chongqing, China).

My primary research interests include artificial intelligence, machine learning, reinforcement learning, computational epidemiology, and complex system modeling, specifically focusing on developing multi-agent reinforcement learning algorithms, physical/epidemiological-informed machine learning methods, and spatiotemporal prediction and analysis approaches, as well as their applications in practical scenarios.

csmtliu@comp.hkbu.edu.hk (Academic) ·  gigg0@icloud.com (Personal)

Research Topics

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. Specifically, My research spans AI/ML methodology development and application deployment in the context of infectious disease dynamics:

MLs for Assessing Infectious Disease Risk and Inferring Transmission Patterns

Malaria Transmission Intensity Assessment (IDM’23) TransCode for COVID‑19 Transmission Patterns (IDP’23)

MLs for Epidemic Dynamics Prediction

Survey on ML for Infectious Disease Risk Prediction (ACM CSUR’25) EpiDL (CIKM’23)

MARL for Learning Cooperative Behavior in Multi-agent Systems

Diametric Coordination Graphs for MARL (AIJ'26)

MLs & RLs for Infectious Disease Control

RLs in Infectious Disease Control (WI‑IAT’25) Resource Allocation for Effective Disease Control (IDP’22)