For a complete list of publications please see here.

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 (to appear).

• Kaustubh Beedkar, Bertty Contreras-Rojas, Anh Duc Vu, German Alexander Garcia Angus, Zoi Kaoudi, Timo Kehrer, Volker Markl, Ricardo Martinez, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan: Non-Intrusive Data Debugging in Apache Wayang. ICDE 2024 demo (to appear).

• Rama Widyadhana Bhagaskoro, Volker Markl, Zoi Kaoudi: Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings. EDBT 2024 (to appear).

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.