Towards Efficient Construction of a Traceable, Multimodal, and Heterogeneous Data Warehouse |
Antoine Gauquier (DI ENS, ENS, CNRS, PSL University & Inria) |
AI-Powered Orchestration of Multi-Model Data |
Jáchym Bártík (Charles University) |
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans |
Stefan Grafberger (BIFOLD & TU Berlin) |
Efficient Stream Processing in Decentralized Networks |
Wang Yue (Hasso Plattner Institute, University of Potsdam) |
Better Learning from Graph Structures: Research on Representation Learning for Knowledge Graph Reasoning |
Ke Liang (National University of Defense Technology) |
Autonomous Hierarchical Storage Management via Reinforcement Learning |
Tianru Zhang (Uppsala University) |
On Efficient ML Model Training in Data Lakes |
Wenbo Sun (Delft University of Technology) |
Time Series Analytics for Electricity Consumption Data |
Adrien Petralia (EDF) |
Enhancing Security for Columnar Storage and Data Lakes |
Lotte Felius (CWI) |
Towards Holistic Query Optimization for Datalog |
Nick Rassau (Johannes Gutenberg-Universität Mainz) |
Automating Data Lineage and Pipeline Extraction |
Sebastian Eggers (Technische Universität Berlin) |
The Cases of Data Cleaning with Spatial and Temporal Awareness |
Yuchuan Huang (University of Minnesota - Twin Cities) |
Vector Search on Billion-Scale Data Collections |
Ilias Azizi (Mohammed VI Polytechnic University) |
Interpretable Feature Engineering for Structured Data |
Mohamed BOUADI (Université Paris Cité, LIPADE, SAP Labs Paris) |
Table Discovery in Data Lakes |
Grace Fan (Northeastern University) |
Parallel Algorithms Can Be Provably Fast and Scalable |
Xiaojun Dong (University of California, Riverside) |
Advancements in Parallel Graph Algorithms for Data Science: Scalable, Fast and Space-Efficient Solutions |
Letong Wang (University of California, Riverside) |
Towards Flexible Self-Tuning Data Stream Management Systems |
Wieger R. Punter (TU Eindhoven) |
