Rihan Hai - RankMe

67 papers A* 7A 5B 5C 2Misc 1Journal 29Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion. CoRR Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Y. Chen
2025	J	`jnl`	Accelerating machine learning queries with linear algebra query processing. Distributed Parallel Databases Wenbo Sun, Asterios Katsifodimos, Rihan Hai
2025	J	`jnl`	Accessible and Portable LLM Inference by Compiling Computational Graphs into SQL. CoRR Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai
2025	—	`conf`	Database as Runtime: Compiling LLMs to SQL for In-database Model Serving. SIGMOD Conference Companion Wenbo Sun, Ziyu Li, Rihan Hai
2025	B	`conf`	Database is All You Need: Serving LLMs with Relational Queries. EDBT Wenbo Sun, Ziyu Li, Vaishnav Srinidhi, Rihan Hai
2025	—	`conf`	Developing a 6G Data and ML Operations Automation via an End-To-End AI Framework: The 6G-DALI Context. AIAI Workshops (1) 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
2025	J	`jnl`	IMLP: An Energy-Efficient Continual Learning Method for Tabular Data Streams. CoRR Yuandou Wang, Filip Gunnarsson, Rihan Hai
2025	J	`jnl`	Ilargi: a GPU Compatible Factorized ML Model Training Framework. CoRR Wenbo Sun, Rihan Hai
2025	J	`jnl`	Parity Cross-Resonance: A Multiqubit Gate. CoRR Xuexin Xu, Siyu Wang, Radhika Joshi, Rihan Hai, Mohammad H. Ansari
2025	J	`jnl`	Private Quantum Database. CoRR Giancarlo Gatti, Rihan Hai
2025	—	`conf`	QC meet CQ: Quantum Conjunctive Queries. Q-DATA@SIGMOD Floris Geerts, Rihan Hai
2025	J	`jnl`	Quantum Data Management in the NISQ Era. Proc. VLDB Endow. Rihan Hai, Shih-Han Hung, Tim Coopmans, Tim Littau, Floris Geerts
2025	—	`conf`	Qymera: Simulating Quantum Circuits using RDBMS. SIGMOD Conference Companion Tim Littau, Rihan Hai
2025	J	`jnl`	Qymera: Simulating Quantum Circuits using RDBMS. CoRR Tim Littau, Rihan Hai
2025	—	`conf`	Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning. ARES (1) Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen
2025	J	`jnl`	TranSQL Proc. ACM Manag. Data Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai
2025	J	`jnl`	WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models. Proc. ACM Manag. Data Aditya Shankar, Lydia Yiyu Chen, Arie van Deursen, Rihan Hai
2025	J	`jnl`	WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models. CoRR Aditya Shankar, Lydia Y. Chen, Arie van Deursen, Rihan Hai
2024	J	`jnl`	Amalur: The Convergence of Data Integration and Machine Learning. IEEE Trans. Knowl. Data Eng. Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Yiyu Chen, Alessandro Bozzon, Rihan Hai
2024	A*	`conf`	AutoFeat: Transitive Feature Discovery over Join Paths. ICDE Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos
2024	J	`jnl`	CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines. CoRR Wenbo Sun, Jiaqi Wang, Qiming Guo, Ziyu Li, Wenlu Wang, Rihan Hai
2024	A*	`conf`	Cross-Source ML Model Training. ICDE Wenbo Sun, Rihan Hai
2024	A*	`conf`	Data Lakes: A Survey of Functions and Systems (Extended abstract). ICDE Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke
2024	J	`jnl`	Data Management in the Noisy Intermediate-Scale Quantum Era. CoRR Rihan Hai, Shih-Han Hung, Tim Coopmans, Floris Geerts
2024	A	`conf`	Human-in-the-Loop Feature Discovery for Tabular Data. CIKM Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Rihan Hai, Asterios Katsifodimos
2024	A	`conf`	LLM-PQA: LLM-enhanced Prediction Query Answering. CIKM Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai
2024	J	`jnl`	LLM-PQA: LLM-enhanced Prediction Query Answering. CoRR Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai
2024	A*	`conf`	Model Selection with Model Zoo via Graph Learning. ICDE Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
2024	J	`jnl`	Model Selection with Model Zoo via Graph Learning. CoRR Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
2024	A*	`conf`	Quantum Data Management: From Theory to Opportunities. ICDE Rihan Hai, Shih-Han Hung, Sebastian Feld
2024	J	`jnl`	Quantum Data Management: From Theory to Opportunities. CoRR Rihan Hai, Shih-Han Hung, Sebastian Feld
2024	—	`conf`	Quantum Data Structures for Enhanced Database Performance. VLDB Workshops Tim Littau, Ziyu Li, Rihan Hai
2024	A*	`conf`	S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. ICDE Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024	J	`jnl`	Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai
2024	J	`jnl`	SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. CoRR Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024	—	`conf`	Will Sharing Metadata Leak Privacy? ICDEW Danning Zhan, Rihan Hai
2023	B	`conf`	Accelerating Machine Learning Queries with Linear Algebra Query Processing. SSDBM Wenbo Sun, Asterios Katsifodimos, Rihan Hai
2023	J	`jnl`	Accelerating Machine Learning Queries with Linear Algebra Query Processing. CoRR Wenbo Sun, Asterios Katsifodimos, Rihan Hai
2023	A*	`conf`	Amalur: Data Integration Meets Machine Learning. ICDE Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos
2023	—	`conf`	An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs. ICDEW Wenbo Sun, Asterios Katsifodimos, Rihan Hai
2023	J	`jnl`	Data Lakes: A Survey of Functions and Systems. IEEE Trans. Knowl. Data Eng. Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke
2023	B	`conf`	Macaroni: Crawling and Enriching Metadata from Public Model Zoos. ICWE Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Alessandro Bozzon
2023	J	`jnl`	Metadata Representations for Queryable Repositories of Machine Learning Models. IEEE Access Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Marco Brambilla, Alessandro Bozzon
2023	B	`conf`	Optimizing ML Inference Queries Under Constraints. ICWE Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos
2023	—	`conf`	Optimizing Machine Learning Inference Queries for Multiple Objectives. ICDEW Ziyu Li, Mariette Schönfeld, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos
2023	B	`conf`	Topio Marketplace: Search and Discovery of Geospatial Data. EDBT Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos
2022	A	`conf`	Amalur: Next-generation Data Integration in Data Lakes. CIDR Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos
2022	J	`jnl`	Bridging the Gap between Data Integration and ML Systems. CoRR Rihan Hai, Yan Kang, Christos Koutras, Andra Ionescu, Asterios Katsifodimos
2022	—	`conf`	Join Path-Based Data Augmentation for Decision Trees. ICDE Workshops Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos
2022	J	`jnl`	Metadata Representations for Queryable ML Model Zoos. CoRR Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos
2022	J	`jnl`	SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks. CoRR Christos Koutras, Rihan Hai, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos
2021	J	`jnl`	Data lake concept and systems: a survey. CoRR Rihan Hai, Christoph Quix, Matthias Jarke
2020	—	`—`	Data integration and metadata management in data lakes. Rihan Hai
2019	—	`conf`	A Metadata Framework for Data Lagoons. ADBIS (Short Papers and Workshops) Vasileios Theodorou, Rihan Hai, Christoph Quix
2019	—	`ch.`	Data Lake. Encyclopedia of Big Data Technologies Christoph Quix, Rihan Hai
2019	A	`conf`	Relaxed Functional Dependency Discovery in Heterogeneous Data Lakes. ER Rihan Hai, Christoph Quix, Dan Wang
2019	J	`jnl`	Rewriting of Plain SO Tgds into Nested Tgds. Proc. VLDB Endow. Rihan Hai, Christoph Quix
2019	—	`conf`	Towards an Infrastructure Enabling the Internet of Production. ICPS 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
2018	A	`conf`	Nested Schema Mappings for Integrating JSON. ER Rihan Hai, Christoph Quix, David Kensche
2018	C	`conf`	Query Rewriting for Heterogeneous Data Lakes. ADBIS Rihan Hai, Christoph Quix, Chen Zhou
2017	—	`conf`	An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering. DILS Sandra Geisler, Christoph Quix, Rihan Hai, Sanchit Alekh
2017	—	`conf`	Ontology matching for patent classification. OM@ISWC Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh
2016	—	`conf`	Constance: An Intelligent Data Lake System. SIGMOD Conference Rihan Hai, Sandra Geisler, Christoph Quix
2016	—	`conf`	GEMMS: A Generic and Extensible Metadata Management System for Data Lakes. CAiSE Forum Christoph Quix, Rihan Hai, Ivan Vatov
2016	J	`jnl`	Metadata Extraction and Management in Data LakesWith GEMMS. Complex Syst. Informatics Model. Q. Christoph Quix, Rihan Hai, Ivan Vatov
2015	C	`conf`	An Ontology-based Collaboration Recommender System using Patents. KEOD Sandra Geisler, Rihan Hai, Christoph Quix
2015	Misc	`conf`	SCIT: A Schema Change Interpretation Tool for Dynamic-Schema Data Warehouses. ADC Rihan Hai, Vasileios Theodorou, Maik Thiele, Wolfgang Lehner