Zewen Liu

Orcid: 0009-0001-1147-4274

Affiliations:
  • Emory University, Department of Computer Science, Atlanta, GA, USA


According to our database1, Zewen Liu authored at least 10 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting.
CoRR, July, 2025

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks.
CoRR, March, 2025

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling.
CoRR, March, 2025

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation.
CoRR, February, 2025

CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting.
CoRR, February, 2025

Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.
CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR, 2024

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling.
CoRR, 2024

A Review of Graph Neural Networks in Epidemic Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024


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