Publications

2025

1. 

   Parachute: Single-Pass Bi-Directional Information Passing

   Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, and Andreas Kipf

   Proc. VLDB Endow., 2025

   arXiv Bib PDF Code

   @article{Stoian2025Parachute,
     author = {Stoian, Mihail and Zimmerer, Andreas and Krid, Skander and Ngom, Amadou Latyr and Ding, Jialin and Kraska, Tim and Kipf, Andreas},
     title = {Parachute: Single-Pass Bi-Directional Information Passing},
     journal = {Proc. {VLDB} Endow.},
     year = {2025},
   }

2. 

   Pruning in Snowflake: Working Smarter, Not Harder

   Andreas Zimmerer, Damien Dam, Jan Kossmann, Juliane Waack, Ismail Oukid, and Andreas Kipf

   In Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, 2025

   DOI arXiv Bib PDF Blog

   @inproceedings{Zimmerer2025Pruning,
     title = {Pruning in Snowflake: Working Smarter, Not Harder},
     author = {Zimmerer, Andreas and Dam, Damien and Kossmann, Jan and Waack, Juliane and Oukid, Ismail and Kipf, Andreas},
     editor = {Markl, Volker and Hellerstein, Joe and Abouzied, Azza},
     booktitle = {Companion of the 2025 International Conference on Management of Data ({SIGMOD}-Companion '25), June 22--27, 2025, Berlin, Germany},
     publisher = {{ACM}},
     year = {2025},
     isbn = {9798400715648},
     url = {https://doi.org/10.1145/3722212.3724447},
     doi = {10.1145/3722212.3724447},
   }

3. 

   Virtual: Compressing Data Lake Files

   Mihail Stoian, Alexander Renen, Jan Kobiolka, Ping-Lin Kuo, Andreas Zimmerer, Josif Grabocka, and Andreas Kipf

   In Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025, 2025

   Best Demo Award DOI Bib Code Website

   This demo paper received the Best Demo Award at EDBT 2025.

   @inproceedings{DBLP:conf/edbt/StoianRKKZGK25,
     title = {Virtual: Compressing Data Lake Files},
     author = {Stoian, Mihail and van Renen, Alexander and Kobiolka, Jan and Kuo, Ping{-}Lin and Zimmerer, Andreas and Grabocka, Josif and Kipf, Andreas},
     editor = {Simitsis, Alkis and Kemme, Bettina and Queralt, Anna and Romero, Oscar and Jovanovic, Petar},
     booktitle = {Proceedings 28th International Conference on Extending Database Technology,
                       {EDBT} 2025, Barcelona, Spain, March 25-28, 2025},
     pages = {1066--1069},
     publisher = {OpenProceedings.org},
     year = {2025},
     url = {https://doi.org/10.48786/edbt.2025.90},
     doi = {10.48786/EDBT.2025.90},
   }

2024

1. 

   Lightweight Correlation-Aware Table Compression

   Mihail Stoian, Alexander Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, and Andreas Kipf

   In NeurIPS 2024 Third Table Representation Learning Workshop, 2024

   arXiv Bib PDF Video Code Slides

   @inproceedings{stoian2024lightweight,
     title = {Lightweight Correlation-Aware Table Compression},
     author = {Stoian, Mihail and van Renen, Alexander and Kobiolka, Jan and Kuo, Ping-Lin and Grabocka, Josif and Kipf, Andreas},
     booktitle = {NeurIPS 2024 Third Table Representation Learning Workshop},
     year = {2024},
     url = {https://openreview.net/forum?id=z7eIn3aShi},
   }

2. 

   DPconv: Super-Polynomially Faster Join Ordering

   Mihail Stoian and Andreas Kipf

   Proc. ACM Manag. Data, 2024

   Honorable Mention DOI arXiv Bib Code

   This demo paper received a Honorable Mention at SIGMOD 2025.

   @article{DBLP:journals/pacmmod/StoianK24,
     author = {Stoian, Mihail and Kipf, Andreas},
     title = {DPconv: Super-Polynomially Faster Join Ordering},
     journal = {Proc. {ACM} Manag. Data},
     volume = {2},
     number = {6},
     pages = {234:1--234:26},
     year = {2024},
     url = {https://doi.org/10.1145/3698809},
     doi = {10.1145/3698809},
     biburl = {https://dblp.org/rec/journals/pacmmod/StoianK24.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }

3. 

   DataLoom: Simplifying Data Loading with LLMs

   Alexander Renen, Mihail Stoian, and Andreas Kipf

   Proc. VLDB Endow., 2024

   DOI Bib Video Code

   @article{DBLP:journals/pvldb/RenenSK24,
     author = {van Renen, Alexander and Stoian, Mihail and Kipf, Andreas},
     title = {DataLoom: Simplifying Data Loading with LLMs},
     journal = {Proc. {VLDB} Endow.},
     volume = {17},
     number = {12},
     pages = {4449--4452},
     year = {2024},
     url = {https://www.vldb.org/pvldb/vol17/p4449-renen.pdf},
     doi = {10.14778/3685800.3685897},
     biburl = {https://dblp.org/rec/journals/pvldb/RenenSK24.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }

4. 

   Corra: Correlation-Aware Column Compression

   Hanwen Liu, Mihail Stoian, Alexander Renen, and Andreas Kipf

   In Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024, Guangzhou, China, August 26-30, 2024, 2024

   arXiv Bib

   @inproceedings{DBLP:conf/vldb/LiuSRK24,
     author = {Liu, Hanwen and Stoian, Mihail and van Renen, Alexander and Kipf, Andreas},
     title = {Corra: Correlation-Aware Column Compression},
     booktitle = {Proceedings of Workshops at the 50th International Conference on Very
                       Large Data Bases, {VLDB} 2024, Guangzhou, China, August 26-30, 2024},
     publisher = {VLDB.org},
     year = {2024},
     url = {https://vldb.org/workshops/2024/proceedings/CloudDB/clouddb-2.pdf},
     biburl = {https://dblp.org/rec/conf/vldb/LiuSRK24.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }