Zewen Liu

According to our database, Zewen Liu authored at least 15 papers between 2024 and 2026.

Collaborative distances:

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

2026

Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks.

Bohan Wang, Zewen Liu, Lu Lin, Hui Liu, Li Xiong, Ming Jin, Wei Jin

CoRR, February, 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

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

Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals.

Saurabh Kataria, Yi Wu, Zhaoliang Chen, Gloria Hyunjung Kwak, Yuhao Xu, Lovely Yeswanth Panchumarthi, Ran Xiao, Jiaying Lu, Ayca Ermis, Anni Zhao, Runze Yan, Alex Federov, Zewen Liu, Xu Wu, Wei Jin, Carl Yang, Jocelyn Grunwell, Stephanie R. Brown, Amit J. Shah, Craig S. Jabaley, Timothy G. Buchman, Sivasubramanium V. Bhavani, Randall J. Lee, Xiao Hu

CoRR, October, 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

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

CoRR, July, 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

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

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

CoRR, 2024

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

Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang

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