Max S. Y. Lau

According to our database, Max S. Y. Lau authored at least 15 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning.

Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S. Y. Lau, Qi He, Lu Cheng, Wei Jin

CoRR, January, 2026

2025

Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?

Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Wenpeng Yin, Wei Jin

CoRR, August, 2025

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling.

Songyuan Liu, Shengbo Gong, Tianning Feng, Zewen Liu, Max S. Y. Lau, Wei Jin

CoRR, March, 2025

CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting.

Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin

CoRR, February, 2025

ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data.

Hannah Waddel, Katia Koelle, Max S. Y. Lau

PLoS Comput. Biol., 2025

Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective.

Yunxiao Li, Mingyang Wei, Zewen Liu, Max S. Y. Lau, Wei Jin

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

SpatialEpi 2024 Workshop Report: The 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology.

Joon-Seok Kim, Andreas Züfle, Max S. Y. Lau, Taylor Anderson, Amira Roess

ACM SIGSPATIAL Special, 2024

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin

CoRR, 2024

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling.

Zewen Liu, Yunxiao Li, Mingyang Wei, Guancheng Wan, Max S. Y. Lau, Wei Jin

CoRR, 2024

A Review of Graph Neural Networks in Epidemic Modeling.

Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics.

Max S. Y. Lau, Alexander D. Becker, Wyatt Madden, Lance A. Waller, C. Jessica E. Metcalf, Bryan T. Grenfell

PLoS Comput. Biol., September, 2022

2019

Model diagnostics and refinement for phylodynamic models.

Max S. Y. Lau, Bryan T. Grenfell, Colin J. Worby, Gavin J. Gibson

PLoS Comput. Biol., 2019

2017

A mechanistic spatio-temporal framework for modelling individual-to-individual transmission - With an application to the 2014-2015 West Africa Ebola outbreak.

Max S. Y. Lau, Gavin J. Gibson, Hola Adrakey, Amanda McClelland, Steven Riley, Jon Zelner, George Streftaris, Sebastian Funk, C. Jessica E. Metcalf, Benjamin D. Dalziel, Bryan T. Grenfell

PLoS Comput. Biol., 2017

2015

A Systematic Bayesian Integration of Epidemiological and Genetic Data.

Max S. Y. Lau, Glenn Marion, George Streftaris, Gavin J. Gibson

PLoS Comput. Biol., 2015