Publication List

2024

  1. ModsNet: Performance-aware Top-𝑘 Model Search using Exemplar Datasets
    The 50th International Conference on Very Large Databases (VLDB 2024)
    Mengying Wang*, Hanchao Ma*, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
  2. Generating Robust Counterfactual Witnesses for Graph Neural Networks
    The 40th IEEE International Conference on Data Engineering (ICDE 2024)
    Dazhuo Qiu*, Mengying Wang*, Arijit Khan, Yinghui Wu
  3. GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models
    The 40th IEEE International Conference on Data Engineering (ICDE 2024)
    Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu
  4. View-based Explanations for Graph Neural Networks
    Proceedings of the ACM on Management of Data, 2024 (SIGMOD 2024)
    Tingyang Ghen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao

2023

  1. Selecting Top-𝑘 Data Science Models by Example Dataset
    The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
    Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
  2. Fair Group Summarization with Graph Patterns
    The 39th IEEE International Conference on Data Engineering (ICDE 2023)
    Hanchao Ma, Sheng Guan, Mengying Wang, Yinghui Wu
  3. GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
    The 39th IEEE International Conference on Data Engineering (ICDE 2023)
    Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu

2022

  1. CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
    The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)
    Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu
  2. RoboGNN: Robustifying Node Classification under Link Perturbation
    The 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) [Video]
    Sheng Guan, Hanchao Ma, Yinghui Wu
  3. Subgraph Query Generation with Fairness and Diversity Constraints
    The 38th IEEE International Conference on Data Engineering (ICDE 2022)
    Hanchao Ma, Sheng Guan, Mengying Wang, Yen-shuo Chang, Yinghui Wu
  4. Diversified Subgraph Query Generation with Group Fairness
    The 15th International Conference on Web Search and Data Mining (WSDM 2022)
    Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu

2021

  1. GEDet: Detecting Erroneous Nodes with A Few Examples
    The 47rd International Conference on Very Large Data Bases (VLDB 2021)
    Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
  2. GRIP: Constraint-based Explanation of Missing Entities in Graph Search
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2021 [Video]
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
  3. Explaining Missing Data in Graphs: A Constraint-based Approach
    The 37th IEEE International Conference on Data Engineering (ICDE 2021)
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu