Systems Group @ VLDB in London!

We will present 2 research papers, 2 workshop papers, 3 demo papers, 1 tutorial, and 1 panel discussion:

Neural Relational Data: Tabular Foundation Models, LLMs… or both?

Carsten Binnig Tue 10:45am, Panel 1, Fleming (3F)

Research Papers:

ELEET: Efficient Learned Query Execution over Text and Tables

Matthias Urban – Wed 1:45pm, Research 29, Westminster (4F)

https://lnkd.in/gDP7Nzuj

Generalizable Data Cleaning of Tabular Data in Latent Space

Eduardo Reis – Wed 1:45pm, Research 30, St James (4F)

https://lnkd.in/gmfj_9zf

Workshop Papers:

Learning What Matters: Automated Feature Selection for Learned Cost Model in Parallel Stream Processing

Pratyush Agnihotri – Mon 11:30am, AIDB Workshop 1, Westminster (4F)

https://lnkd.in/gSzNs5y5

JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

Johannes Wehrstein – Mon 2:15pm, AIDB Workshop 2, Westminster (4F)

https://lnkd.in/gk8Yv6rk

Demo Papers:

Opening The Black-Box: Explaining Learned Cost Models For Databases

Roman Heinrich – Wed 10:45am, Demo A1, Albert (2F)

https://lnkd.in/g_2hH7rk

JUSTINE (JUST-INsert Engine): Demonstrating Self-organizing Data Schemas

Benjamin Hättasch – Wed 10:45am, Demo A1, Albert (2F)

How SMPC Query Execution can be sped up through Efficient and Flexible Intermediate Result Size Trimming

Long Gu – Wed 3:45pm, Demo C2, Victoria (2F)

Tutorial:

Learned Cost Models for Query Optimization: From Batch to Streaming Systems

Manisha Luthra Thu 10:45am, Tutorial 8, Albert (2F)

Looking forward to meeting you all in London next week!