The paper “Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing” by Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, and our Alibaba collaborators: Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, and Jingren Zhou has been accepted in PVLDB and will appear at the 2022 VLDB conference.
Main recent results
- 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”
- TTO 2022: “Fact-checking Multidimensional Statistic Claims in French”
- CIKM 2022: “Statistical Claim Checking: StatCheck in Action” and “Abstra: Toward Generic Abstractions for Data of Any Model”
- VLDB 2022: “Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing”
Latest News
- ADBIS 2023: “Entity-focused exploration of heterogeneous data graphs”
- Two demonstrations accepted at ESWC 2023
- Five CEDAR short papers in Infox sur Seine
- WWW 2023: “On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election”
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