The paper “A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning” by Chenghao Lyu, Qi Fan, Philippe Guyard, and Yanlei Diao has been accepted for publication at the International Conference on Very Large Databases (VLDB 2024).
Main recent results
- Nelly Barret’s PhD defense
- EMNLP 2023: Evaluating the Factual Faithfulness of Graph-to-Text Generation
- EDBT 2024: “Computing Generic Abstractions from Application Datasets”
- WWW 2023: “On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election”
- IEEE ICDE 2023: “Integrating Connection Search in Graph Queries”
Latest News
- BDA 2024: three papers and three demonstrations accepted
- BigVis 2024: “A Unified Visual Exploration Framework for (Semi -) Structured Data”
- VLDB 2024: A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
- Prof. Shady Elbassuoni: “Data Centric Fake News Detection During Armed Conflicts”
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