Harvesting Large-Scale Grids for Software Resources. - Asterios Katsifodimos; George Pallis 001; Marios D. Dikaiakos (CCGRID, 2009)

Effective Keyword Search for Software Resources Installed in Large-Scale Grid Infrastructures. - George Pallis 001; Asterios Katsifodimos; Marios D. Dikaiakos (Web Intelligence, 2009)

LiquidXML: adaptive XML content redistribution. - Jesús Camacho-Rodríguez; Asterios Katsifodimos; Ioana Manolescu; Alexandra Roatis (CIKM, 2010)

Searching for Software on the EGEE Infrastructure. - George Pallis 001; Asterios Katsifodimos; Marios D. Dikaiakos (J. Grid Comput., 2010)

The ViP2P Platform: XML Views in P2P - Konstantinos Karanasos; Asterios Katsifodimos; Ioana Manolescu; Spyros Zoupanos (CoRR, 2011)

ViP2P: Efficient XML Management in DHT Networks. - Konstantinos Karanasos; Asterios Katsifodimos; Ioana Manolescu; Spyros Zoupanos (ICWE, 2012)

Materialized view selection for XQuery workloads. - Asterios Katsifodimos; Ioana Manolescu; Vasilis Vassalos (SIGMOD Conference, 2012)

Minersoft: Software retrieval in grid and cloud computing infrastructures. - Marios D. Dikaiakos; Asterios Katsifodimos; George Pallis 001 (ACM Trans. Internet Techn., 2012)

Delta: Scalable Data Dissemination under Capacity Constraints. - Konstantinos Karanasos; Asterios Katsifodimos; Ioana Manolescu (Proc. VLDB Endow., 2013)

Scalable view-based techniques for web data : algorithms and systems. (Techniques efficaces basées sur des vues matérialisées pour la gestion des données du Web : algorithmes et systèmes). - Asterios Katsifodimos (2013)

Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Andreas Kunft; Asterios Katsifodimos; Felix Schüler; Lauritz Thamsen; Odej Kao; Tobias Herb; Volker Markl (SIGMOD Conference, 2015)

Optimistic Recovery for Iterative Dataflows in Action. - Sergey Dudoladov; Chen Xu 001; Sebastian Schelter; Asterios Katsifodimos; Stephan Ewen; Kostas Tzoumas; Volker Markl (SIGMOD Conference, 2015)

Apache Flink™: Stream and Batch Processing in a Single Engine. - Paris Carbone; Asterios Katsifodimos; Stephan Ewen; Volker Markl; Seif Haridi; Kostas Tzoumas (IEEE Data Eng. Bull., 2015)

Cutty: Aggregate Sharing for User-Defined Windows. - Paris Carbone; Jonas Traub; Asterios Katsifodimos; Seif Haridi; Volker Markl (CIKM, 2016)

Apache Flink: Stream Analytics at Scale. - Asterios Katsifodimos; Sebastian Schelter (IC2E Workshops, 2016)

Emma in Action: Declarative Dataflows for Scalable Data Analysis. - Alexander Alexandrov 001; Andreas Salzmann; Georgi Krastev; Asterios Katsifodimos; Volker Markl (SIGMOD Conference, 2016)

Bridging the gap: towards optimization across linear and relational algebra. - Andreas Kunft; Alexander Alexandrov 001; Asterios Katsifodimos; Volker Markl (BeyondMR@SIGMOD, 2016)

Apache Flink in current research. - Tilmann Rabl; Jonas Traub; Asterios Katsifodimos; Volker Markl (it Inf. Technol., 2016)

Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Asterios Katsifodimos; Georgi Krastev; Volker Markl (SIGMOD Rec., 2016)

Large-Scale Data Stream Processing Systems. - Paris Carbone; Gábor E. Gévay; Gábor Hermann; Asterios Katsifodimos; Juan Soto 001; Volker Markl; Seif Haridi (Handbook of Big Data Technologies, 2017)

Optimized on-demand data streaming from sensor nodes. - Jonas Traub; Sebastian Breß; Tilmann Rabl; Asterios Katsifodimos; Volker Markl (SoCC, 2017)

BlockJoin: Efficient Matrix Partitioning Through Joins. - Andreas Kunft; Asterios Katsifodimos; Sebastian Schelter; Tilmann Rabl; Volker Markl (Proc. VLDB Endow., 2017)

Benchmarking Distributed Stream Data Processing Systems. - Jeyhun Karimov; Tilmann Rabl; Asterios Katsifodimos; Roman Samarev; Henri Heiskanen; Volker Markl (ICDE, 2018)

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. - Jonas Traub; Philipp Marian Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (ICDE, 2018)

Benchmarking Distributed Stream Processing Engines. - Jeyhun Karimov; Tilmann Rabl; Asterios Katsifodimos; Roman Samarev; Henri Heiskanen; Volker Markl (CoRR, 2018)

Generating Reproducible Out-of-Order Data Streams. - Philipp M. Grulich; Jonas Traub; Sebastian Breß; Asterios Katsifodimos; Volker Markl; Tilmann Rabl (DEBS, 2019)

Operational Stream Processing: Towards Scalable and Consistent Event-Driven Applications. - Asterios Katsifodimos; Marios Fragkoulis (EDBT, 2019)

Efficient Window Aggregation with General Stream Slicing. - Jonas Traub; Philipp M. Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (EDBT, 2019)

Muses: Distributed Data Migration System for Polystores. - Abdulrahman Kaitoua; Tilmann Rabl; Asterios Katsifodimos; Volker Markl (ICDE, 2019)

Stateful Functions as a Service in Action. - Adil Akhter; Marios Fragkoulis; Asterios Katsifodimos (Proc. VLDB Endow., 2019)

An Intermediate Representation for Optimizing Machine Learning Pipelines. - Andreas Kunft; Asterios Katsifodimos; Sebastian Schelter; Sebastian Breß; Tilmann Rabl; Volker Markl (Proc. VLDB Endow., 2019)

Stream Window Aggregation Semantics and Optimization. - Paris Carbone; Asterios Katsifodimos; Seif Haridi (Encyclopedia of Big Data Technologies, 2019)

REMA: Graph Embeddings-based Relational Schema Matching. - Christos Koutras; Marios Fragkoulis; Asterios Katsifodimos; Christoph Lofi (EDBT/ICDT Workshops, 2020)

Beyond Analytics: The Evolution of Stream Processing Systems. - Paris Carbone; Marios Fragkoulis; Vasiliki Kalavri; Asterios Katsifodimos (SIGMOD Conference, 2020)

Distributed transactions on serverless stateful functions. - Martijn de Heus; Kyriakos Psarakis; Marios Fragkoulis; Asterios Katsifodimos (DEBS, 2021)

Valentine: Evaluating Matching Techniques for Dataset Discovery. - Christos Koutras; George Siachamis; Andra Ionescu; Kyriakos Psarakis; Jerry Brons; Marios Fragkoulis; Christoph Lofi; Angela Bonifati; Asterios Katsifodimos (ICDE, 2021)

Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows. - Pedro F. Silvestre; Marios Fragkoulis; Diomidis Spinellis; Asterios Katsifodimos (SIGMOD Conference, 2021)

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows. - Wouter Zorgdrager; Kyriakos Psarakis; Marios Fragkoulis; Eelco Visser; Asterios Katsifodimos (CoRR, 2021)

Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile. - Can Gencer; Marko Topolnik; Viliam Durina; Emin Demirci; Ensar B. Kahveci; Ali Gürbüz; József Bartók; Grzegorz Gierlach; Frantisek Hartman; Ufuk Yilmaz; Ondrej Lukás; Mehmet Dogan; et al. (Proc. VLDB Endow., 2021)

Valentine in Action: Matching Tabular Data at Scale. - Christos Koutras; Kyriakos Psarakis; George Siachamis; Andra Ionescu; Marios Fragkoulis; Angela Bonifati; Asterios Katsifodimos (Proc. VLDB Endow., 2021)

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. - Jonas Traub; Philipp Marian Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (ACM Trans. Database Syst., 2021)

Data Platforms for Data Spaces. - Amin Anjomshoaa; Santiago Cáceres Elvira; Christian Wolff; Juan Carlos Pérez Baún; Manos Karvounis; Marco Mellia; Spiros Athanasiou; Asterios Katsifodimos; Alexandra Garatzogianni; Andreas Trügler; Martin Serrano; Achille Zappa; et al. (Data Spaces, 2022)

Amalur: Next-generation Data Integration in Data Lakes. - Rihan Hai 001; Christos Koutras; Andra Ionescu; Asterios Katsifodimos (CIDR, 2022)

Join Path-Based Data Augmentation for Decision Trees. - Andra Ionescu; Rihan Hai 001; Marios Fragkoulis; Asterios Katsifodimos (ICDE Workshops, 2022)

S-QUERY: Opening the Black Box of Internal Stream Processor State. - Jim Verheijde; Vassilios Karakoidas; Marios Fragkoulis; Asterios Katsifodimos (ICDE, 2022)

Bridging the Gap between Data Integration and ML Systems. - Rihan Hai 001; Yan Kang; Christos Koutras; Andra Ionescu; Asterios Katsifodimos (CoRR, 2022)

SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks. - Christos Koutras; Rihan Hai 001; Kyriakos Psarakis; Marios Fragkoulis; Asterios Katsifodimos (CoRR, 2022)

Metadata Representations for Queryable ML Model Zoos. - Ziyu Li; Rihan Hai 001; Alessandro Bozzon; Asterios Katsifodimos (CoRR, 2022)

Transactions across serverless functions leveraging stateful dataflows. - Martijn de Heus; Kyriakos Psarakis; Marios Fragkoulis; Asterios Katsifodimos (Inf. Syst., 2022)

Automatic Table Union Search with Tabular Representation Learning. - Xuming Hu; Shen Wang 005; Xiao Qin 003; Chuan Lei; Zhengyuan Shen; Christos Faloutsos; Asterios Katsifodimos; George Karypis; Lijie Wen 001; Philip S. Yu (ACL (Findings), 2023)

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows. - Kyriakos Psarakis; Wouter Zorgdrager; Marios Fragkoulis; Guido Salvaneschi; Asterios Katsifodimos (CIDR, 2023)

Adaptive Distributed Streaming Similarity Joins. - George Siachamis; Kyriakos Psarakis; Marios Fragkoulis; Odysseas Papapetrou; Arie van Deursen; Asterios Katsifodimos (DEBS, 2023)

Topio Marketplace: Search and Discovery of Geospatial Data. - Andra Ionescu; Alexandra Alexandridou; Leonidas Ikonomou; Kyriakos Psarakis; Kostas Patroumpas; Georgios Chatzigeorgakidis; Dimitrios Skoutas 001; Spiros Athanasiou; Rihan Hai 001; Asterios Katsifodimos (EDBT, 2023)

Amalur: Data Integration Meets Machine Learning. - Rihan Hai 001; Christos Koutras; Andra Ionescu; Ziyu Li; Wenbo Sun; Jessie van Schijndel; Yan Kang; Asterios Katsifodimos (ICDE, 2023)

Optimizing Machine Learning Inference Queries for Multiple Objectives. - Ziyu Li; Mariette Schönfeld; Rihan Hai 001; Alessandro Bozzon; Asterios Katsifodimos (ICDEW, 2023)

Towards Evaluating Stream Processing Autoscalers. - George Siachamis; Job Kanis; Wybe Koper; Kyriakos Psarakis; Marios Fragkoulis; Arie van Deursen; Asterios Katsifodimos (ICDEW, 2023)

An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs. - Wenbo Sun; Asterios Katsifodimos; Rihan Hai 001 (ICDEW, 2023)

Topio: An Open-Source Web Platform for Trading Geospatial Data. - Andra Ionescu; Kostas Patroumpas; Kyriakos Psarakis; Georgios Chatzigeorgakidis; Diego Collarana; Kai Barenscher; Dimitrios Skoutas 001; Asterios Katsifodimos; Spiros Athanasiou (ICWE, 2023)

Macaroni: Crawling and Enriching Metadata from Public Model Zoos. - Ziyu Li; Henk Kant; Rihan Hai 001; Asterios Katsifodimos; Alessandro Bozzon (ICWE, 2023)

Optimizing ML Inference Queries Under Constraints. - Ziyu Li; Mariette Schönfeld; Wenbo Sun; Marios Fragkoulis; Rihan Hai 001; Alessandro Bozzon; Asterios Katsifodimos (ICWE, 2023)

Leveraging Large Language Models for Sequential Recommendation. - Jesse Harte; Wouter Zorgdrager; Panos Louridas; Asterios Katsifodimos; Dietmar Jannach; Marios Fragkoulis (RecSys, 2023)

Metadata Representations for Queryable Repositories of Machine Learning Models. - Ziyu Li; Henk Kant; Rihan Hai 001; Asterios Katsifodimos; Marco Brambilla 001; Alessandro Bozzon (IEEE Access, 2023)

Styx: Deterministic Transactional Serverless Functions on Streaming Dataflows. - Kyriakos Psarakis; George Siachamis; George Christodoulou 005; Marios Fragkoulis; Asterios Katsifodimos (CoRR, 2023)

Human-in-the-Loop Feature Discovery for Tabular Data. - Andra Ionescu; Zeger Mouw; Efthimia Aivaloglou; Rihan Hai 001; Asterios Katsifodimos (CIKM, 2024)

LLM-PQA: LLM-enhanced Prediction Query Answering. - Ziyu Li; Wenjie Zhao; Asterios Katsifodimos; Rihan Hai 001 (CIKM, 2024)

Evaluating Stream Processing Autoscalers. - George Siachamis; George Christodoulou 005; Kyriakos Psarakis; Marios Fragkoulis; Arie van Deursen; Asterios Katsifodimos (DEBS, 2024)

Key Insights from a Feature Discovery User Study. - Andra Ionescu; Zeger Mouw; Efthimia Aivaloglou; Asterios Katsifodimos (HILDA@SIGMOD, 2024)

AutoFeat: Transitive Feature Discovery over Join Paths. - Andra Ionescu; Kiril Vasilev; Florena Buse; Rihan Hai 001; Asterios Katsifodimos (ICDE, 2024)

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows. - George Siachamis; Kyriakos Psarakis; Marios Fragkoulis; Arie van Deursen; Paris Carbone; Asterios Katsifodimos (ICDE, 2024)

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. - Christos Koutras; Jiani Zhang 003; Xiao Qin 003; Chuan Lei; Vasileios Ioannidis; Christos Faloutsos; George Karypis; Asterios Katsifodimos (CoRR, 2024)

FeatNavigator: Automatic Feature Augmentation on Tabular Data. - Jiaming Liang; Chuan Lei; Xiao Qin 003; Jiani Zhang 003; Asterios Katsifodimos; Christos Faloutsos; Huzefa Rangwala (CoRR, 2024)

A survey on the evolution of stream processing systems. - Marios Fragkoulis; Paris Carbone; Vasiliki Kalavri; Asterios Katsifodimos (VLDB J., 2024)

Cascade: From Imperative Code to Stateful Dataflows. - Marcus Schutte; Lucas Van Mol; George Christodoulou 005; Asterios Katsifodimos (DBPL, 2025)

Featpilot: Automatic Feature Augmentation on Tabular Data. - Jiaming Liang; Chuan Lei; Xiao Qin 003; Jiani Zhang 003; Asterios Katsifodimos; Christos Faloutsos; Huzefa Rangwala (ICDE, 2025)

PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes. - Xuming Hu; Chuan Lei; Xiao Qin 003; Asterios Katsifodimos; Christos Faloutsos; Huzefa Rangwala (NAACL (Findings), 2025)

DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery. - Xuming Hu; Xiao Qin 003; Chuan Lei; Asterios Katsifodimos; Zhengyuan Shen; Balasubramaniam Srinivasan; Huzefa Rangwala (NAACL (Findings), 2025)

Transactional Cloud Applications: Status Quo, Challenges, and Opportunities. - Rodrigo Laigner; George Christodoulou 005; Kyriakos Psarakis; Asterios Katsifodimos; Yongluan Zhou (SIGMOD Conference Companion, 2025)

CoddLLM: Empowering Large Language Models for Data Analytics. - Jiani Zhang 003; Hengrui Zhang; Rishav Chakravarti; Yiqun Hu; Patrick Ng; Asterios Katsifodimos; Huzefa Rangwala; George Karypis; Alon Y. Halevy (CoRR, 2025)

Styx: Transactional Stateful Functions on Streaming Dataflows. - Kyriakos Psarakis; George Christodoulou 005; Georgios Siachamis; Marios Fragkoulis; Asterios Katsifodimos (Proc. ACM Manag. Data, 2025)

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes. - Zhenwei Dai; Chuan Lei; Asterios Katsifodimos; Xiao Qin 003; Christos Faloutsos; Huzefa Rangwala (CoRR, 2025)

Accelerating machine learning queries with linear algebra query processing. - Wenbo Sun; Asterios Katsifodimos; Rihan Hai 001 (Distributed Parallel Databases, 2025)