Rihan Hai

According to our database, Rihan Hai authored at least 55 papers between 2015 and 2025.

Collaborative distances:

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

2025

Accelerating machine learning queries with linear algebra query processing.

Wenbo Sun, Asterios Katsifodimos, Rihan Hai

Distributed Parallel Databases, December, 2025

WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models.

Aditya Shankar, Lydia Y. Chen, Arie van Deursen, Rihan Hai

CoRR, March, 2025

Quantum Data Management in the NISQ Era.

Rihan Hai, Shih-Han Hung, Tim Coopmans, Tim Littau, Floris Geerts

Proc. VLDB Endow., February, 2025

Accessible and Portable LLM Inference by Compiling Computational Graphs into SQL.

Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai

CoRR, February, 2025

Ilargi: a GPU Compatible Factorized ML Model Training Framework.

Wenbo Sun, Rihan Hai

CoRR, February, 2025

Database as Runtime: Compiling LLMs to SQL for In-database Model Serving.

Wenbo Sun, Ziyu Li, Rihan Hai

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Qymera: Simulating Quantum Circuits using RDBMS.

Tim Littau, Rihan Hai

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

QC meet CQ: Quantum Conjunctive Queries.

Floris Geerts, Rihan Hai

Proceedings of the 2nd Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2025

Database is All You Need: Serving LLMs with Relational Queries.

Wenbo Sun, Ziyu Li, Vaishnav Srinidhi, Rihan Hai

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Developing a 6G Data and ML Operations Automation via an End-To-End AI Framework: The 6G-DALI Context.

Ioannis P. Chochliouros, Kostas Ramantas, Vasileios Theodorou, Christian Pinto, Takai Eddine Kennouche, Adlen Ksentini, Franco Minucci, Dimitrios Amaxilatis, Giacomo Bernini, Luigi Briguglio, Rihan Hai, Anastasia S. Spiliopoulou, Christos V. Verikoukis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops, 2025

Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning.

Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen

Proceedings of the Availability, Reliability and Security - 20th International Conference, 2025

2024

Amalur: The Convergence of Data Integration and Machine Learning.

Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Yiyu Chen, Alessandro Bozzon, Rihan Hai

IEEE Trans. Knowl. Data Eng., December, 2024

Data Management in the Noisy Intermediate-Scale Quantum Era.

Rihan Hai, Shih-Han Hung, Tim Coopmans, Floris Geerts

CoRR, 2024

CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines.

Wenbo Sun, Jiaqi Wang, Qiming Guo, Ziyu Li, Wenlu Wang, Rihan Hai

CoRR, 2024

Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning.

Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai

CoRR, 2024

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.

Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen

CoRR, 2024

Quantum Data Structures for Enhanced Database Performance.

Tim Littau, Ziyu Li, Rihan Hai

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Will Sharing Metadata Leak Privacy?

Danning Zhan, Rihan Hai

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Cross-Source ML Model Training.

Wenbo Sun, Rihan Hai

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.

Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Model Selection with Model Zoo via Graph Learning.

Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AutoFeat: Transitive Feature Discovery over Join Paths.

Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Data Lakes: A Survey of Functions and Systems (Extended abstract).

Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Quantum Data Management: From Theory to Opportunities.

Rihan Hai, Shih-Han Hung, Sebastian Feld

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LLM-PQA: LLM-enhanced Prediction Query Answering.

Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Human-in-the-Loop Feature Discovery for Tabular Data.

Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Rihan Hai, Asterios Katsifodimos

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Data Lakes: A Survey of Functions and Systems.

Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke

IEEE Trans. Knowl. Data Eng., December, 2023

Metadata Representations for Queryable Repositories of Machine Learning Models.

Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Marco Brambilla, Alessandro Bozzon

IEEE Access, 2023

Optimizing ML Inference Queries Under Constraints.

Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

Proceedings of the Web Engineering - 23rd International Conference, 2023

Macaroni: Crawling and Enriching Metadata from Public Model Zoos.

Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Alessandro Bozzon

Proceedings of the Web Engineering - 23rd International Conference, 2023

An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs.

Wenbo Sun, Asterios Katsifodimos, Rihan Hai

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

Optimizing Machine Learning Inference Queries for Multiple Objectives.

Ziyu Li, Mariette Schönfeld, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

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

Amalur: Data Integration Meets Machine Learning.

Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos

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

Topio Marketplace: Search and Discovery of Geospatial Data.

Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Metadata Representations for Queryable ML Model Zoos.

Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

CoRR, 2022

SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks.

Christos Koutras, Rihan Hai, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos

CoRR, 2022

Bridging the Gap between Data Integration and ML Systems.

Rihan Hai, Yan Kang, Christos Koutras, Andra Ionescu, Asterios Katsifodimos

CoRR, 2022

Join Path-Based Data Augmentation for Decision Trees.

Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos

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

Amalur: Next-generation Data Integration in Data Lakes.

Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Data lake concept and systems: a survey.

Rihan Hai, Christoph Quix, Matthias Jarke

CoRR, 2021

2020

Data integration and metadata management in data lakes.

Rihan Hai

PhD thesis, 2020

2019

Data Lake.

Christoph Quix, Rihan Hai

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Rewriting of Plain SO Tgds into Nested Tgds.

Rihan Hai, Christoph Quix

Proc. VLDB Endow., 2019

Towards an Infrastructure Enabling the Internet of Production.

Jan Pennekamp, René Glebke, Martin Henze, Tobias Meisen, Christoph Quix, Rihan Hai, Lars Christoph Gleim, Philipp Niemietz, Maximilian Rudack, Simon Knape, Alexander Epple, Daniel Trauth, Uwe Vroomen, Thomas Bergs, Christian Brecher, Andreas Bührig-Polaczek, Matthias Jarke, Klaus Wehrle

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Relaxed Functional Dependency Discovery in Heterogeneous Data Lakes.

Rihan Hai, Christoph Quix, Dan Wang

Proceedings of the Conceptual Modeling - 38th International Conference, 2019

A Metadata Framework for Data Lagoons.

Vasileios Theodorou, Rihan Hai, Christoph Quix

Proceedings of the New Trends in Databases and Information Systems, 2019

2018

Nested Schema Mappings for Integrating JSON.

Rihan Hai, Christoph Quix, David Kensche

Proceedings of the Conceptual Modeling - 37th International Conference, 2018

Query Rewriting for Heterogeneous Data Lakes.

Rihan Hai, Christoph Quix, Chen Zhou

Proceedings of the Advances in Databases and Information Systems, 2018

2017

Ontology matching for patent classification.

Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh

Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), 2017

An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering.

Sandra Geisler, Christoph Quix, Rihan Hai, Sanchit Alekh

Proceedings of the Data Integration in the Life Sciences - 12th International Conference, 2017

2016

Metadata Extraction and Management in Data LakesWith GEMMS.

Christoph Quix, Rihan Hai, Ivan Vatov

Complex Syst. Informatics Model. Q., 2016

Constance: An Intelligent Data Lake System.

Rihan Hai, Sandra Geisler, Christoph Quix

Proceedings of the 2016 International Conference on Management of Data, 2016

GEMMS: A Generic and Extensible Metadata Management System for Data Lakes.

Christoph Quix, Rihan Hai, Ivan Vatov

Proceedings of the CAiSE'16 Forum, 2016

2015

An Ontology-based Collaboration Recommender System using Patents.

Sandra Geisler, Rihan Hai, Christoph Quix

Proceedings of the KEOD 2015, 2015

SCIT: A Schema Change Interpretation Tool for Dynamic-Schema Data Warehouses.

Rihan Hai, Vasileios Theodorou, Maik Thiele, Wolfgang Lehner

Proceedings of the Databases Theory and Applications, 2015