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Publications

Refereed Conference Papers

  • Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
    Chuizheng Meng, Sirisha Rambhatla, Yan Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
    [ PDF] [ Code]

  • Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
    Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
    The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
    [ PDF]

  • Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics
    Sungyong Seo*, Chuizheng Meng*, Yan Liu (*equal contribution)
    International Conference on Learning Representations (ICLR), 2020.
    [ PDF] [ Code]

Journal Papers

  • Benchmarking deep learning models on large healthcare datasets
    Sanjay Purushotham*, Chuizheng Meng*, Zhengping Che, Yan Liu (*equal contribution)
    Journal of Biomedical Informatics, 2018.
    [ PDF] [ Code]

  • Trust Relationship Prediction in Alibaba E-Commerce Platform
    Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang
    IEEE Transactions on Knowledge and Data Engineering, 2019.
    [ PDF]

Workshop Papers

  • Structure-informed Graph Auto-encoder for Relational Inference and Simulation
    Yaguang Li, Chuizheng Meng, Cyrus Shahabi and Yan Liu
    ICML Workshops on Learning and Reasoning with Graph-Structured Representations, 2019.
    [ PDF]

Preprints

  • MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
    Chuizheng Meng*, Loc Trinh*, Nax Xu*, Yan Liu (*equal contribution)
    arXiv:2102.06761 .
    [ PDF]