CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. - Mengying Wang 001; Hanchao Ma; Abhishek Daundkar; Sheng Guan; Yiyang Bian; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2022)

Subgraph Query Generation with Fairness and Diversity Constraints. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Yen-Shuo Chang; Yinghui Wu 001 (ICDE, 2022)

Selecting Top-k Data Science Models by Example Dataset. - Mengying Wang 001; Sheng Guan; Hanchao Ma; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2023)

GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. - Sheng Guan; Hanchao Ma; Mengying Wang 001; Yinghui Wu 001 (ICDE, 2023)

Fair Group Summarization with Graph Patterns. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Qi Song 004; Yinghui Wu 001 (ICDE, 2023)

GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models. - Duy Le 003; Kris Zhao; Mengying Wang 001; Yinghui Wu 001 (ICDE, 2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks. - Dazhuo Qiu; Mengying Wang 001; Arijit Khan 001; Yinghui Wu 001 (ICDE, 2024)

ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. - Mengying Wang 001; Hanchao Ma; Sheng Guan; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (Proc. VLDB Endow., 2024)

Generating Skyline Datasets for Data Science Models. - Mengying Wang 001; Hanchao Ma; Yiyang Bian; Yangxin Fan; Yinghui Wu 001 (EDBT, 2025)