For a complete list of publications please see here.

2025

• Roman Heinrich, Xiao Li, Manisha Luthra, Zoi Kaoudi: Learned Cost Models for Query Optimization: From Batch to Streaming Systems. Proc. VLDB Endow. 18(12): 5482-5487 (2025) [pdf]

• Kaustubh Beedkar, Aurélien Bertrand, Haralampos Gavriilidis, Augusto José Fonseca, Zoi Kaoudi, Mingxi Liu, Volker Markl, Juri Petersen, Fábio Porto, Víctor Ribeiro, Mads Sejer Pedersen, Lucas Giusti Tavares, Michalis Vargiamis, Chen Xu: Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework. SIGMOD Conference Companion 2025: 35-38 [link]

2024

• Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl: Assisted design of data science pipelines. VLDB Journal, 2024 [link]

• Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Counting Butterflies in Fully Dynamic Bipartite Graph Streams. ICDE 2024: 2917-2930 [link]

• Rama Widyadhana Bhagaskoro, Volker Markl, Zoi Kaoudi: Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings. EDBT 2024: 664-675. [pdf].

2023

• Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza⋄, Jorge-Arnulfo Quiané-Ruiz: Apache Wayang: A Unified Data Analytics Framework. SIGMOD Record 52(3): 30-35, 2023. [pdf]

• Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, Volker Markl: Good Intentions: Adaptive Parameter Management via Intent Signaling. CIKM 2023: 2156-2166. [pdf]

• Henriette Behr, Volker Markl, Zoi Kaoudi: Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization. BTW 2023: 535-554, 2023. [pdf]

2022

• Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Space-Efficient Random Walks on Streaming Graphs. PVLDB 16(2): 356-368, 2022.

• Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl: NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access. SIGMOD, 481-495, 2022.

• Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl: Materialization and Reuse Optimizations for Production Data Science Pipelines. SIGMOD, 1962-1976, 2022.

• Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Farming Your ML-based Query Optimizer's Food. ICDE, 3186-3189, 2022. (best demo award)

• Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl: DORIAN in action: Assisted Design of Data Science Pipelines. PVLDB 15(12): 3714-3717, 2022.

• Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem, Zoi Kaoudi, Ashraf Aboulnaga: RDFFrames: knowledge graph access for machine learning tools. VLDB Journal 31(2): 321-346, 2022.

• Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -. CIDR 2022.

• Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla: Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach. Knowleldge Information Systems 64(9): 2515-2541, 2022.

2021

• Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Expand your Training Limits! Generating Training Data for ML-based Data Management. SIGMOD: 1865-1878, 2021.

• Sergey Redyuk, Zoi Kaoudi, Volker Markl, Sebastian Schelter: Automating Data Quality Validation for Dynamic Data Ingestion. EDBT: 61-72, 2021.

• Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl: Just Move It! Dynamic Parameter Allocation in Action. PVLDB. 14(12): 2707-2710, 2021.