A Review of Graph Neural Networks in Epidemic Modeling. - Zewen Liu 005; Guancheng Wan; B. Aditya Prakash; Max S. Y. Lau; Wei Jin 009 (KDD, 2024)

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling. - Zewen Liu 005; Yunxiao Li; Mingyang Wei; Guancheng Wan; Max S. Y. Lau; Wei Jin 009 (CoRR, 2024)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. - Kai Guo 003; Zewen Liu 005; Zhikai Chen; Hongzhi Wen; Wei Jin 009; Jiliang Tang; Yi Chang 001 (CoRR, 2024)

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. - Guancheng Wan; Zewen Liu 005; Max S. Y. Lau; B. Aditya Prakash; Wei Jin 009 (CoRR, 2024)

Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective. - Yunxiao Li; Mingyang Wei; Zewen Liu 005; Max S. Y. Lau; Wei Jin 009 (WWW (Companion Volume), 2025)

CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting. - Zewen Liu 005; Juntong Ni; Max S. Y. Lau; Wei Jin 009 (CoRR, 2025)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. - Juntong Ni; Zewen Liu 005; Shiyu Wang 001; Ming Jin 005; Wei Jin 009 (CoRR, 2025)

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling. - Songyuan Liu; Shengbo Gong; Tianning Feng; Zewen Liu 005; Max S. Y. Lau; Wei Jin 009 (CoRR, 2025)

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. - Zewen Liu 005; Xiaoda Wang; Bohan Wang; Zijie Huang 002; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. - Juntong Ni; Shiyu Wang 001; Zewen Liu 005; Xiaoming Shi 001; Xinyue Zhong; Zhou Ye 001; Wei Jin 009 (CoRR, 2025)