An Efficient Ride-Sharing Framework for Maximizing Shared Routes. - Na Ta 001; Guoliang Li 001; Tianyu Zhao 006; Jianhua Feng; Hanchao Ma; Zhiguo Gong (ICDE, 2018)

An Efficient Ride-Sharing Framework for Maximizing Shared Route. - Na Ta 001; Guoliang Li 001; Tianyu Zhao 006; Jianhua Feng; Hanchao Ma; Zhiguo Gong (IEEE Trans. Knowl. Data Eng., 2018)

Attribute-Driven Backbone Discovery. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (KDD, 2019)

Ontology-based Entity Matching in Attributed Graphs. - Hanchao Ma; Morteza Alipour Langouri; Yinghui Wu 001; Fei Chiang; Jiaxing Pi (Proc. VLDB Endow., 2019)

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. - Sheng Guan; Peng Lin; Hanchao Ma; Yinghui Wu 001 (IEEE BigData, 2020)

Explaining Missing Data in Graphs: A Constraint-based Approach. - Qi Song 004; Peng Lin; Hanchao Ma; Yinghui Wu 001 (ICDE, 2021)

GRIP: Constraint-based Explanation of Missing Answers for Graph Queries. - Qi Song 004; Hanchao Ma; Peng Lin; Yinghui Wu 001 (SIGMOD Conference, 2021)

GEDet: Detecting Erroneous Nodes with A Few Examples. - Sheng Guan; Hanchao Ma; Sutanay Choudhury; Yinghui Wu 001 (Proc. VLDB Endow., 2021)

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)

RoboGNN: Robustifying Node Classification under Link Perturbation. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (IJCAI, 2022)

Diversified Subgraph Query Generation with Group Fairness. - Hanchao Ma; Sheng Guan; Christopher Toomey; Yinghui Wu 001 (WSDM, 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)

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)

Development and validation of a novel method to predict flame behavior in tank fires based on CFD modeling and machine learning. - Zhenqi Hu; Jinlong Zhao; Shaohua Zhang; Hanchao Ma; Jianping Zhang (Reliab. Eng. Syst. Saf., 2025)