Ihab F. Ilyas

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 75

Top Venues

Publications

Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING (2024)
Kun Qian, Anton Belyi, Fei Wu, Samira Khorshidi, Azadeh Nikfarjam, Rahul Khot, Yisi Sang, Katherine Luna, Xianqi Chu, Eric Choi, Yash Govind, Chloe Seivwright, Yiwen Sun, Ahmed Fakhry, Theodoros Rekatsinas, Ihab F. Ilyas, Xiaoguang Qi, Yunyao Li
Open Domain Knowledge Extraction for Knowledge Graphs. CoRR (2023)
Ihab F. Ilyas, JP Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth
Growing and Serving Large Open-domain Knowledge Graphs. SIGMOD Conference Companion (2023)
Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab F. Ilyas, Yunyao Li
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs. CoRR (2023)
Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. CoRR (2023)
Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. IEEE Data Eng. Bull. 46 (2) (2023)
Lisa Ehrlinger, Hazar Harmouch, Ihab F. Ilyas, Felix Naumann
Preface QDB. VLDB Workshops (2023)
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas
High-Throughput Vector Similarity Search in Knowledge Graphs. CoRR (2023)
Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas
Real-Time LSM-Trees for HTAP Workloads. ICDE (2023)
Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR (2023)
Ihab F. Ilyas, JP Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth
Growing and Serving Large Open-domain Knowledge Graphs. CoRR (2023)
Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. EMNLP (Demos) (2023)
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas
High-Throughput Vector Similarity Search in Knowledge Graphs. Proc. ACM Manag. Data 1 (2) (2023)
Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab F. Ilyas, Yunyao Li
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs. EMNLP (2023)
Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed A. Soliman
Saga: A Platform for Continuous Construction and Serving of Knowledge at Scale. SIGMOD Conference (2022)
Ihab F. Ilyas, Theodoros Rekatsinas
Machine Learning and Data Cleaning: Which Serves the Other? ACM J. Data Inf. Qual. 14 (3) (2022)
Ihab F. Ilyas, Felix Naumann
Data Errors: Symptoms, Causes and Origins. IEEE Data Eng. Bull. 45 (1) (2022)
Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed A. Soliman
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale. CoRR (2022)
Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
PCOR: Private Contextual Outlier Release via Differentially Private Search. SIGMOD Conference (2021)
Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
Kamino: Constraint-Aware Differentially Private Data Synthesis. Proc. VLDB Endow. 14 (10) (2021)
Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
PCOR: Private Contextual Outlier Release via Differentially Private Search. CoRR (2021)
Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. CoRR (2021)
Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
Properties of Inconsistency Measures for Databases. SIGMOD Conference (2021)
Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. Proc. VLDB Endow. 15 (3) (2021)
Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas
Real-Time LSM-Trees for HTAP Workloads. CoRR (2021)
Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
Kamino: Constraint-Aware Differentially Private Data Synthesis. CoRR (2020)
Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas
Attention-based Learning for Missing Data Imputation in HoloClean. MLSys (2020)
Paulo H. Oliveira, Daniel S. Kaster, Caetano Traina Jr., Ihab F. Ilyas
Batchwise Probabilistic Incremental Data Cleaning. CoRR (2020)
Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas
On sampling from data with duplicate records. CoRR (2020)
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas
Record fusion: A learning approach. CoRR (2020)
Ester Livshits, Alireza Heidari, Ihab F. Ilyas, Benny Kimelfeld
Approximate Denial Constraints. CoRR (2020)
Ester Livshits, Alireza Heidari, Ihab F. Ilyas, Benny Kimelfeld
Approximate Denial Constraints. Proc. VLDB Endow. 13 (10) (2020)
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas
Approximate Inference in Structured Instances with Noisy Categorical Observations. CoRR (2019)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Discovery of Functional Dependencies. ICDE (2019)
Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici, Ihab F. Ilyas
ExplIQuE: Interactive Databases Exploration with SQL. CIKM (2019)
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas
Approximate Inference in Structured Instances with Noisy Categorical Observations. UAI (2019)
Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas
Matching Entities Across Different Knowledge Graphs with Graph Embeddings. CoRR (2019)
Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas
Semi-supervised clustering for de-duplication. AISTATS (2019)
Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
Principles of Progress Indicators for Database Repairing. CoRR (2019)
Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas
HoloDetect: Few-Shot Learning for Error Detection. CoRR (2019)
Ji Sun, Dong Deng, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation. CoRR (2019)
Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas
HoloDetect: Few-Shot Learning for Error Detection. SIGMOD Conference (2019)
Chang Ge, Ihab F. Ilyas, Florian Kerschbaum
Secure Multi-Party Functional Dependency Discovery. Proc. VLDB Endow. 13 (2) (2019)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Implementations of Dependency Discovery Algorithms. Proc. VLDB Endow. 12 (11) (2019)
Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas
A Formal Framework for Probabilistic Unclean Databases. ICDT (2019)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Dependency Discovery. CoRR (2019)
Ihab F. Ilyas
Building Scalable Machine Learning Solutions for Data Cleaning. BTW (2019)
Chang Ge, Xi He, Ihab F. Ilyas, Ashwin Machanavajjhala
APEx: Accuracy-Aware Differentially Private Data Exploration. SIGMOD Conference (2019)
Shrinu Kushagra, Hemant Saxena, Ihab F. Ilyas, Shai Ben-David
A Semi-Supervised Framework of Clustering Selection for De-Duplication. ICDE (2019)
Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Unsupervised String Transformation Learning for Entity Consolidation. ICDE (2019)
Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas
Semi-supervised clustering for de-duplication. CoRR (2018)
Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. ICDE (2018)
Michael Stonebraker, Ihab F. Ilyas
Data Integration: The Current Status and the Way Forward. IEEE Data Eng. Bull. 41 (2) (2018)
Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia. COLING (2018)
Essam Mansour, Dong Deng, Raul Castro Fernandez, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Building Data Civilizer Pipelines with an Advanced Workflow Engine. ICDE (2018)
Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas
A Formal Framework For Probabilistic Unclean Databases. CoRR (2018)
Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Entity Consolidation: The Golden Record Problem. CoRR (2017)
Chang Ge, Ihab F. Ilyas, Xi He, Ashwin Machanavajjhala
Private Exploration Primitives for Data Cleaning. CoRR (2017)
Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
A Demo of the Data Civilizer System. SIGMOD Conference (2017)
Shazia Wasim Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava
Data Quality: The Role of Empiricism. SIGMOD Rec. 46 (4) (2017)
Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang
The Data Civilizer System. CIDR (2017)
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10 (11) (2017)
Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas, Shichao Jin
Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking. ACM Trans. Database Syst. 42 (1) (2017)
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR (2017)
Xu Chu, Ihab F. Ilyas, Paraschos Koutris
Distributed Data Deduplication. Proc. VLDB Endow. 9 (11) (2016)
Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9 (12) (2016)
Mina H. Farid, Ihab F. Ilyas, Steven Euijong Whang, Cong Yu
LONLIES: Estimating Property Values for Long Tail Entities. SIGIR (2016)
Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang
Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference (2016)
Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré
Dark Data: Are we solving the right problems? ICDE (2016)
Ihab F. Ilyas
Effective Data Cleaning with Continuous Evaluation. IEEE Data Eng. Bull. 39 (2) (2016)
Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker
DataXFormer: A robust transformation discovery system. ICDE (2016)
Xu Chu, Ihab F. Ilyas
Qualitative Data Cleaning. Proc. VLDB Endow. 9 (13) (2016)
Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani
Learning to identify relevant studies for systematic reviews using random forest and external information. Mach. Learn. 102 (3) (2016)
Christian Bizer, Luna Dong, Ihab F. Ilyas, Maria-Esther Vidal
Editorial: Special Issue on Web Data Quality. ACM J. Data Inf. Qual. 8 (1) (2016)
Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu
CLAMS: Bringing Quality to Data Lakes. SIGMOD Conference (2016)
Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas
Benchmarking Smart Meter Data Analytics. EDBT (2015)
Ihab F. Ilyas, Xu Chu
Trends in Cleaning Relational Data: Consistency and Deduplication. Found. Trends Databases 5 (4) (2015)
Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR (2015)
Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas
SMAS: A smart meter data analytics system. ICDE (2015)
Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8 (12) (2015)
Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. SIGMOD Conference (2015)
Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin
BigDansing: A System for Big Data Cleansing. SIGMOD Conference (2015)
George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin
Sampling from repairs of conditional functional dependency violations. VLDB J. 23 (1) (2014)
Anup Chalamalla, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti
Descriptive and prescriptive data cleaning. SIGMOD Conference (2014)
Michele Dallachiesa, Themis Palpanas, Ihab F. Ilyas
Top-k Nearest Neighbor Search In Uncertain Data Series. Proc. VLDB Endow. 8 (1) (2014)
Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye
RuleMiner: Data quality rules discovery. ICDE (2014)
Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin
NADEEF/ER: generic and interactive entity resolution. SIGMOD Conference (2014)
Xu Chu, Ihab F. Ilyas, Paolo Papotti
Holistic data cleaning: Putting violations into context. ICDE (2013)
David J. DeWitt, Ihab F. Ilyas, Jeffrey F. Naughton, Michael Stonebraker
We are drowning in a sea of least publishable units (LPUs). SIGMOD Conference (2013)
Lei Chen, Ihab F. Ilyas, Christopher Ré, Xiaofang Zhou
Probabilistic Web Data Management. World Wide Web 16 (3) (2013)
George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin
On the relative trust between inconsistent data and inaccurate constraints. ICDE (2013)
Michael Stonebraker, Daniel Bruckner, Ihab F. Ilyas, George Beskales, Mitch Cherniack, Stanley B. Zdonik, Alexander Pagan, Shan Xu
Data Curation at Scale: The Data Tamer System. CIDR (2013)
Michele Dallachiesa, Amr Ebaid, Ahmed Eldawy, Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Nan Tang
NADEEF: a commodity data cleaning system. SIGMOD Conference (2013)
Xu Chu, Ihab F. Ilyas, Paolo Papotti
Discovering Denial Constraints. Proc. VLDB Endow. 6 (13) (2013)
Amr Ebaid, Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin
NADEEF: A Generalized Data Cleaning System. Proc. VLDB Endow. 6 (12) (2013)
George Beskales, Gautam Das, Ahmed K. Elmagarmid, Ihab F. Ilyas, Felix Naumann, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang
The data analytics group at the qatar computing research institute. SIGMOD Rec. 41 (4) (2012)
George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin
On the Relative Trust between Inconsistent Data and Inaccurate Constraints CoRR (2012)
Amr El-Helw, Mina H. Farid, Ihab F. Ilyas
Just-in-time information extraction using extraction views. SIGMOD Conference (2012)
Jeffrey Pound, Alexander K. Hudek, Ihab F. Ilyas, Grant E. Weddell
Interpreting keyword queries over web knowledge bases. CIKM (2012)
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas
Guided Data Repair CoRR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ihab F. Ilyas