Publications

2021

  • Fine-grained Urban Flow Prediction
    Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David Rosenblum and Roger Zimmermann
    The Web Conference 2021 (WWW), To Appear, 2021.

  • AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
    Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng
    The Web Conference 2021 (WWW), To Appear, 2021.

  • Mixup for Node and Graph Classification
    Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai and Bryan Hooi
    The Web Conference 2021 (WWW), To Appear, 2021.

  • CurGraph: Curriculum Learning for Graph Classification
    Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai and Bryan Hooi
    The Web Conference 2021 (WWW), To Appear, 2021.

2020

  • Progressive Supervision for Node Classification
    Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
    in Proc. of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.

  • Fine-Grained Urban Flow Inference
    Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
    in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

Before 2020

  • UrbanFM: Inferring Fine-Grained Urban Flows [Code]
    Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
    in Proc. of The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.

  • Inferring Traffic Cascading Patterns
    Yuxuan Liang, Zhongyuan Jiang, Yu Zheng
    in Proc. of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017.