Hello there! My name is Mutong LIU (刘牧潼). Now, I am a Ph.D. student supervised by Dr. LIU Yang and co-supervised by Prof. LIU Jiming in the Department of Computer Science at Hong Kong Baptist University. If you are interested in my research work or any other aspects, you can reach me via my email address (gigg0@icloud.com or csmtliu@comp.hkbu.edu.hk).
Basic Information
- Name: Mutong LIU
- Email address:
- (Academic) csmtliu@comp.hkbu.edu.hk
- (Personal) gigg0@icloud.com
Research Interests
- Machine Learning, Reinforcement Learning, Spatiotemporal Analytics, Epidemic Prediction, Infectious Disease Modeling and Control
Education and Academic Qualification
Period | Degree | Major |
---|---|---|
Jan.2021 - Present | PhD Candidate in Computer Science, Hong Kong Baptist University, Hong Kong, China | Computer Science |
Sept.2016 - Jul. 2020 | B.E. in Network Engineering, Southwest University, Chongqing, China | Network Engineering |
Sept.2015 - Jul. 2016 | Student in Plant Protection Faculty, Southwest University, Chongqing, China | Plant Protection |
Publications (Google Scholar)
Published:
- Mutong Liu, Yang Liu, and Jiming Liu (2025). Machine Learning for Infectious Disease Risk Prediction: A Survey. ACM Computing Survey, 57(8), Article 212 (August 2025). https://doi.org/10.1145/3719663. [paper] [supplementary]
- Mutong Liu, Yang Liu, Jiming Liu (2023). Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ‘23). [poster] [code]
- Mutong Liu, Yang Liu, Ly Po, Shang Xia, Rekol Huy, Xiao-Nong Zhou, and Jiming Liu. (2023). Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia. Infectious Disease Modelling, 8(1), 253-269. [paper]
- Jinfu Ren*, Mutong Liu*, Yang Liu, and Jiming Liu (2022). Optimal resource allocation with spatiotemporal transmission discovery for effective disease control. Infectious diseases of poverty, 11(1), 1-11. [paper]
- Jinfu Ren, Mutong Liu, Yang Liu, and Jiming Liu (2023). TransCode: Uncovering COVID-19 transmission patterns via deep learning. Infectious Diseases of Poverty, 12(1), 1-20. [paper]
- Li Tao, Mutong Liu, Zili Zhang, and Liang Luo (2022). Identifying multiple influential spreaders in complex networks by considering the dispersion of nodes. Frontiers in Physics, 9, 766615. [paper]
* Contributed equally.