Zewen Liu刘泽文
PhD Student, Computer Science, Emory University
I am a PhD student at the Computer Science Department, Emory University, advised by Prof. Wei Jin. Before Emory I received my B.S. in Big Data Science and Technology from Jilin University.
My research asks how machine learning can model systems that evolve over time — epidemics, time series, and more recently the LLM agents that improve themselves.
- Time Series
- Epidemic Modeling
- Graph Neural Networks
- Large Language Models
- Agent Evolution
News
- 2026 CAPE accepted at KDD 2026 as an Oral.
- 2026 Evo-Harness accepted at EMNLP 2026.
- 2026 EpiQAL accepted at EMNLP 2026.
- 2026 Finished a summer as an Applied Scientist Intern at Amazon, working on self-evolving agents.
- 2026 SymbolBench accepted at ACL 2026 Findings.
- 2026 Dual-Target Attacks accepted at ICML 2026.
- 2026 TimeDistill accepted at KDD 2026.
- 2026 Dynamic Hypergraph Networks accepted at PSB 2026.
- 2026 Toward AI Foundation Models for Epidemics published in PNAS.
- 2025 EARTH accepted at ICML 2025.
- 2025 Graph ODEs and Beyond accepted at KDD 2025.
- 2025 Efficient Epidemic Intervention Generation accepted at WWW 2025.
- 2025 Presented our epidemic forecasting work at SDM 2025.
- 2024 A Review of GNNs in Epidemic Modeling accepted at KDD 2024.
- 2024 EpiLearn accepted at the KDD 2024 epiDAMIK workshop.
- 2024 GANSamples-ac4C accepted in Analytical Biochemistry.
- 2024 Joined Emory University as a CS PhD student, advised by Prof. Wei Jin.
Selected Publications all publications →
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PNAS 2026
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