Zewen Liu

PhD student, Computer Science, Emory University

Joined

March 2024

Names

Zewen Liu (Preferred)

Emails

****@emory.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Computer Science, Emory University (emory.edu)

2024 – 2029

Undergrad student

School of Software, Jilin University (jlu.edu.cn)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Wei Jin

Present

Coauthor

Juntong Ni

Present

Coworker

Mohammad Hashemi

Present

Coworker

Shengbo Gong

Present

Coauthor

B. Aditya Prakash

Present

Expertise

Time Series Analysis

Present

Epidemic Modeling

Present

Graph Neural Networks

Present

Large Language Models

Present

Publications

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting
Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
- arXiv
- Readers: Everyone
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
Zewen Liu, Juntong Ni, Xianfeng Tang, Max SY Lau, Wenpeng Yin, Wei Jin
- arXiv 2025
- Readers: Everyone
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
- arXiv 2025
- Readers: Everyone
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
Zewen Liu, Juntong Ni, Max SY Lau, Wei Jin
- Submitted to ICLR 2026
- Readers: Everyone
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
- Submitted to ICLR 2026
- Readers: Everyone
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin
- CoRR 2025
- Readers: Everyone
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 2025
- Readers: Everyone
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting
Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin
- CoRR 2025
- Readers: Everyone
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
- CoRR 2025
- Readers: Everyone
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan, Max SY Lau, B. Aditya Prakash, Wei Jin
- ICML 2025 poster
- Readers: Everyone

View all 17 publications

Co-Authors

View all 29 co-authors