Recent Publications:

• Mohmmad Hossein Moslemi, Harini Balamurugan, Mostafa Milani, Evaluating Blocking Biases in Entity Matching, 2024, IEEE International Conference on Big Data, forthcoming (BigData'24).[Link]
• Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi, OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport, 2024, ACM SIGMOD International Conference on Management of Data (SIGMOD'24).[Link]
• Mohammad Hossein Moslemi, Mostafa Milani, Threshold-Independent Fair Matching through Score Calibration, 2024, Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI'24).[Link]
• Sahar Ghassabi, Behshid Behkamal, Mostafa Milani, Leveraging Knowledge Graphs for Matching Heterogeneous Entities and Explanation, 2023, IEEE International Conference on Big Data (BigData'23).[Link]
• Marco Calautti, Mostafa Milani, Andreas Pieris, Semi-Oblivious Chase Termination for Linear Existential Rules: An Experimental Study, 2023, Very Large Data Bases (VLDB'23).[Link]
• Omar AlOmeir, Eugenie Yujing Lai, Mostafa Milani, and Rachel Pottinger, Summarizing Provenance of Aggregate Query Results in Relational Databases, 2023, IEEE Transactions on Knowledge and Data Engineering (TKDE'23).[Link]
• Eugenie Yujing Lai, Zainab Zolaktaf, Mostafa Milani, Omar AlOmeir, and Rachel Pottinger, Workload-Aware Query Recommendation Using Deep Learning, 2023, The International Conference on Extending Database Technology (EDBT'23).[Link]
• Leopoldo Bertossi, and Mostafa Milani, Extending sticky-Datalog+/- via finite-position selection functions: Tractability, algorithms, and optimization, 2023, Information Systems, 14(102156).[Link]
• Soudeh Nilforoushan, Qianfan Wu, and Mostafa Milani, Entity Matching with AUC-Based Fairness, 2022, IEEE International Conference on Big Data (BigData'22).[Link]
• Mostafa Milani, Yu Huang, Fei Chiang, Data Anonymization with Diversity Constraints, 2021, IEEE Transactions on Knowledge and Data Engineering (TKDE'21).[Link]
• Omar AlOmeir, Eugenie Yujing Lai, Mostafa Milani, and Rachel Pottinger, Summarizing Provenance of Aggregate Query Results in Relational Databases, 2021, IEEE International Conference on Data Engineering (ICDE'21).[Link]
• Mostafa Milani, Yu Huang, Fei Chiang, Preserving Diversity in Anonymized Data, 2021, The International Conference on Extending Database Technology (EDBT'21).[Link]
• Yu Huang, Mostafa Milani, and Fei Chiang, Privacy-Aware Data Cleaning-as-a-Service, 2020, Information Systems, 94(101608).[Link]
• Zainab Zolaktaf, Mostafa Milani, and Rachel Pottinger, Facilitating SQL Query Composition and Analysis, 2020, ACM SIGMOD International Conference on Management of Data (SIGMOD'20).[Link]
• Omar AlOmeir, Eugenie Yujing Lai, Mostafa Milani, and Rachel Pottinger, The Pastwatch: On the usability of provenance data in relational databases, 2020, IEEE International Conference on Data Engineering (ICDE'20).[Link]
• Zheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, and Mostafa Milani, CurrentClean: Interactive Change Exploration and Cleaning of Stale Data, 2019, ACM International Conference on Information and Knowledge Management (CIKM'19).[Link]
• Jianjun Liu, Zainab Zolaktaf, Rachel Pottinger, and Mostafa Milani, Improvement of SQL Recommendation on Scientific Database, 2020, International Conference on Scientific and Statistical Database Management (SSDBM'19).[Link]
• Mostafa Milani, Zheng Zheng and Fei Chiang, CurrentClean: Spatio-Temporal Cleaning of Stale Data, 2019, IEEE International Conference on Data Engineering (ICDE'19).[Link]
• Leopoldo E. Bertossi and Mostafa Milani, Ontological Multidimensional Data Models and Contextual Data Quality, 2018, Journal of Data and Information Quality (JDIQ'18), 9(3),14:1-14:36.[Link]
• Yu Huang, Mostafa Milani, and Fei Chiang, PACAS: Privacy-Aware, Data Cleaning-as-a-Service, 2018, IEEE International Conference on Big Data (BigData'18).[Link]