Ihab F. Ilyas

Ihab F. Ilyas

University of Waterloo

H-index: 58

North America-Canada

About Ihab F. Ilyas

Ihab F. Ilyas, With an exceptional h-index of 58 and a recent h-index of 38 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Data Management, Data Cleaning, Data Integration, Data Quality, Knowledge Graphs.

His recent articles reflect a diverse array of research interests and contributions to the field:

Techniques for presenting content to a user based on the user's preferences

Methods and computer program products for clustering records using imperfect rules

Methods and devices for customizing knowledge representation systems

Record Fusion via Inference and Data Augmentation

Growing and Serving Large Open-domain Knowledge Graphs

Open Domain Knowledge Extraction for Knowledge Graphs

System and method for generating training data for machine learning classifier

Fleek: Factual error detection and correction with evidence retrieved from external knowledge

Ihab F. Ilyas Information

University

Position

___

Citations(all)

13562

Citations(since 2020)

6469

Cited By

9879

hIndex(all)

58

hIndex(since 2020)

38

i10Index(all)

128

i10Index(since 2020)

102

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Ihab F. Ilyas Skills & Research Interests

Data Management

Data Cleaning

Data Integration

Data Quality

Knowledge Graphs

Top articles of Ihab F. Ilyas

Title

Journal

Author(s)

Publication Date

Techniques for presenting content to a user based on the user's preferences

2024/4/16

Methods and computer program products for clustering records using imperfect rules

2024/4/2

Methods and devices for customizing knowledge representation systems

2024/2/15

Record Fusion via Inference and Data Augmentation

ACM/IMS Journal of Data Science

Alireza Heidari

George Michalopoulos

Ihab F Ilyas

Theodoros Rekatsinas

2024/1/16

Growing and Serving Large Open-domain Knowledge Graphs

Ihab F Ilyas

JP Lacerda

Yunyao Li

Umar Farooq Minhas

Ali Mousavi

...

2023/6/4

Open Domain Knowledge Extraction for Knowledge Graphs

arXiv preprint arXiv:2312.09424

Kun Qian

Anton Belyi

Fei Wu

Samira Khorshidi

Azadeh Nikfarjam

...

2023/10/30

System and method for generating training data for machine learning classifier

2023/5/4

Fleek: Factual error detection and correction with evidence retrieved from external knowledge

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Farima Fatahi Bayat

Kun Qian

Benjamin Han

Yisi Sang

Anton Belyi

...

2023/10/26

Real-time LSM-trees for HTAP workloads

Hemant Saxena

Lukasz Golab

Stratos Idreos

Ihab F Ilyas

2023/4/3

Computer-implemented method for performing hierarchical classification

2023/10/10

Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models

Data Engineering

Hongyu Ren

Ali Mousavi

Anil Pacaci

Shihabur R Chowdhury

Jason Mohoney

...

2023

Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation

arXiv preprint arXiv:2309.11669

Ali Mousavi

Xin Zhan

He Bai

Peng Shi

Theo Rekatsinas

...

2023/9/20

Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

arXiv preprint arXiv:2311.15781

Simone Conia

Min Li

Daniel Lee

Umar Farooq Minhas

Ihab Ilyas

...

2023/11/27

High-Throughput Vector Similarity Search in Knowledge Graphs

Proceedings of the ACM on Management of Data

Jason Mohoney

Anil Pacaci

Shihabur Rahman Chowdhury

Ali Mousavi

Ihab F Ilyas

...

2023/6/20

Machine learning and data cleaning: Which serves the other?

ACM Journal of Data and Information Quality (JDIQ)

Ihab F Ilyas

Theodoros Rekatsinas

2022/7/21

Saga: A platform for continuous construction and serving of knowledge at scale

Ihab F Ilyas

Theodoros Rekatsinas

Vishnu Konda

Jeffrey Pound

Xiaoguang Qi

...

2022/6/10

Probabilistic ranking techniques in relational databases

Ihab Ilyas

Mohamed Soliman

2022/5/31

Data Errors: Symptoms, Causes and Origins.

IEEE Data Eng. Bull.

Ihab F Ilyas

Felix Naumann

2022

Method and system for large scale data curation

2022/11/15

Generating and reusing transformations for evolving schema mapping

2021/10/28

See List of Professors in Ihab F. Ilyas University(University of Waterloo)

Co-Authors

H-index: 87
Christopher Ré

Christopher Ré

Stanford University

H-index: 64
M. Tamer Özsu

M. Tamer Özsu

University of Waterloo

H-index: 64
Walid G. Aref

Walid G. Aref

Purdue University

H-index: 57
Volker Markl

Volker Markl

Technische Universität Berlin

H-index: 51
Shai Ben-David

Shai Ben-David

University of Waterloo

H-index: 45
Jennifer Neville

Jennifer Neville

Purdue University

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