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Rihan Hai
Assistant Professor · Group Leader
Rihan Hai is an Assistant Professor at TU Delft, where she leads the Infinidata Lab. She received her PhD with highest honours from RWTH Aachen University and is an NWO VENI laureate. Her research spans data lakes and data integration, machine-learning systems, and quantum data management.
Publications
Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
arXiv 2026 arXiv
Quadratic Sums-of-Powers for Fixed-Parameter Tractable Quantum-Circuit Simulation
arXiv 2026 arXiv
Accelerating machine learning queries with linear algebra query processing
Database as Runtime: Compiling LLMs to SQL for In-database Model Serving
Database is All You Need: Serving LLMs with Relational Queries
EDBT 2025 DOI
Ilargi: A GPU Compatible Factorized ML Model Training Framework
IMLP: An Energy-Efficient Continual Learning Method for Tabular Data Streams
arXiv 2025 arXiv
Private Quantum Database
arXiv 2025 arXiv
QC meet CQ: Quantum Conjunctive Queries
ACM SIGMOD Workshop 2025 DOI
Quantum Data Management in the NISQ Era
PVLDB 2025 DOI
Qymera: Simulating Quantum Circuits using RDBMS
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
ARES 2025 DOI
TranSQL +: Serving Large Language Models with SQL on Low-Resource Hardware
ACM SIGMOD 2025 DOI
WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models
Amalur: The Convergence of Data Integration and Machine Learning
IEEE TKDE 2024 DOI
AutoFeat: Transitive Feature Discovery over Join Paths
IEEE ICDE 2024 DOI
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
arXiv 2024 arXiv
Cross-Source ML Model Training
IEEE ICDE 2024 DOI
Human-in-the-Loop Feature Discovery for Tabular Data
ACM CIKM 2024 DOI
LLM-PQA: LLM-enhanced Prediction Query Answering
Model Selection with Model Zoo via Graph Learning
Quantum Data Management: From Theory to Opportunities
Quantum Data Structures for Enhanced Database Performance
VLDB Workshop 2024 PDF
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models
IEEE ICDE 2024 arXiv
Will Sharing Metadata Leak Privacy?
IEEE ICDEW 2024 DOI
Amalur: Data Integration Meets Machine Learning
IEEE ICDE 2023 DOI
Data Lakes: A Survey of Functions and Systems
IEEE TKDE 2023 DOI
Macaroni: Crawling and Enriching Metadata from Public Model Zoos
Springer ICWE 2023 DOI
Metadata Representations for Queryable Repositories of Machine Learning Models
IEEE Access 2023 DOI
Optimizing ML Inference Queries Under Constraints
Springer ICWE 2023 DOI
Amalur: Next-generation Data Integration in Data Lakes
CIDR 2022 PDF