publications

Publications in reversed chronological order.

2023

  1. VLDB’23
    Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning
    Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, and Guoliang Li
    Proc. VLDB Endow., 2023
    PDF Code
  2. SIGMOD’23
    GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data
    Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, and Guoliang Li
    SIGMOD, 2023
    PDF
  3. VLDBJ’23
    Cardinality Estimation using Normalizing Flow
    Jiayi Wang, Chengliang Chai, Jiabin Liu, and Guoliang Li
    The VLDB Journal, 2023
    PDF Code
  4. KDD’23
    Efficient Coreset Selection with Cluster-based Methods
    Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, and Guoren Wang
    In KDD 2023, 2023
    PDF

2022

  1. VLDB’22
    FACE: A Normalizing Flow based Cardinality Estimator
    Jiayi Wang, Chengliang Chai, Jiabin Liu, and Guoliang Li
    Proc. VLDB Endow., 2022
    PDF Code
  2. TKDE’22
    Data Management for Machine Learning: A Survey
    Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, and Guoliang Li
    IEEE Trans. Knowl. Data Eng., 2022
    PDF