Publications


Conference Papers

(^ indicates equal contributions)

  • [In Submission] Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
    TimeDistill: Efficient Long-term Time Series Forecasting with MLPs via Cross-Architecture Distillation [pdf]

  • [In Submission] Zewen Liu, Juntong Ni, Max S. Y. Lau, Wei Jin
    CAPE: Covariate-Adjusted Pre-Training for Epidemic Forecasting [pdf]

  • [In Submission] Kun Guo^, Zewen Liu^, Zhiwei Chen, Haoteng Wen, Wei Jin, Jiliang Tang, Yi Chang
    Learning on Graphs with Large Language Models (LLMs): A Deep Dive into Model Robustness [pdf]

  • [In Submission] Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin
    Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph [pdf]

  • [08/2024] Zewen Liu, Yunxiao Li, Mingyang Wei, Guancheng Wan, Max S.Y. Lau, Wei Jin
    EpiLearn: A Python Library for Machine Learning in Epidemic Modeling [pdf] [repo]
    7th epiDAMIK ACM SIGKDD International Workshop on Epidemiology meets Data Mining and Knowledge Discover, 2024

  • [08/2024] Zewen Liu^, Guancheng Wan^, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
    A Review of Graph Neural Networks in Epidemic Modeling [pdf] [reading list]
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2024


Journal Papers

(^ indicates equal contributions)

  • [02/2024] Fei Li, Jiale Zhang, Kewei Li, Yu Peng, Haotian Zhang, Yiping Xu, Yue Yu, Yuteng Zhang, Zewen Liu, Ying Wang, Lan Huang, Fengfeng Zhou
    GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning [pdf]
    Analytical Biochemistry, 2024
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