Publication List

2023

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
Fair Group Summarization with Graph Patterns
The 39th IEEE International Conference on Data Engineering (ICDE 2023)
Hanchao Ma, Sheng Guan, Mengying Wang, Yinghui Wu
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

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
RoboGNN: Robustifying Node Classification under Link Perturbation
The 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) [Video]
Sheng Guan, Hanchao Ma, Yinghui Wu
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
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

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
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
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