Hanchao Ma

According to our database, Hanchao Ma authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets.

Mengying Wang, Hanchao Ma, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu

Proc. VLDB Endow., August, 2024

2023

Fair Group Summarization with Graph Patterns.

Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs.

Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Selecting Top-k Data Science Models by Example Dataset.

Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Diversified Subgraph Query Generation with Group Fairness.

Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

RoboGNN: Robustifying Node Classification under Link Perturbation.

Sheng Guan, Hanchao Ma, Yinghui Wu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Subgraph Query Generation with Fairness and Diversity Constraints.

Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

CRUX: Crowdsourced Materials Science Resource and Workflow Exploration.

Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GEDet: Detecting Erroneous Nodes with A Few Examples.

Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu

Proc. VLDB Endow., 2021

GRIP: Constraint-based Explanation of Missing Answers for Graph Queries.

Qi Song, Hanchao Ma, Peng Lin, Yinghui Wu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Explaining Missing Data in Graphs: A Constraint-based Approach.

Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs.

Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Ontology-based Entity Matching in Attributed Graphs.

Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi

Proc. VLDB Endow., 2019

Attribute-Driven Backbone Discovery.

Sheng Guan, Hanchao Ma, Yinghui Wu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

An Efficient Ride-Sharing Framework for Maximizing Shared Route.

Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong

IEEE Trans. Knowl. Data Eng., 2018

An Efficient Ride-Sharing Framework for Maximizing Shared Routes.

Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018