Reducing Multidimensional Data. - Faten Atigui; Franck Ravat; Jiefu Song; Gilles Zurfluh (DaWaK, 2014)

Entrepôts de données multidimensionnelles réduites : principes et expérimentations. - Faten Atigui; Franck Ravat; Jiefu Song; Gilles Zurfluh (EDA, 2014)

Analysis Framework for Reduced Data Warehouse. - Franck Ravat; Jiefu Song; Olivier Teste (EDA, 2015)

Combining Business Intelligence with Semantic Web : Overview and Challenges. - Sébastien Laborie; Franck Ravat; Jiefu Song; Olivier Teste (INFORSID, 2015)

Facilitate Effective Decision-Making by Warehousing Reduced Data: Is It Feasible? - Faten Atigui; Franck Ravat; Jiefu Song; Olivier Teste; Gilles Zurfluh (Int. J. Decis. Support Syst. Technol., 2015)

Enabling OLAP analyses on the web of data. - Franck Ravat; Jiefu Song (ICDIM, 2016)

Designing Multidimensional Cubes from Warehoused Data and Linked Open Datas. - Franck Ravat; Jiefu Song; Olivier Teste (INFORSID, 2016)

Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution. - Franck Ravat; Jiefu Song (MEDI, 2016)

Designing multidimensional cubes from warehoused data and linked open data. - Franck Ravat; Jiefu Song; Olivier Teste (RCIS, 2016)

OLAP Analysis Operators for Multi-State Data Warehouses. - Franck Ravat; Jiefu Song; Olivier Teste (Int. J. Data Warehous. Min., 2016)

Vers un modèle unifié de données entreposées et de données ouvertes liées. Concepts et expérimentations. - Franck Ravat; Jiefu Song; Olivier Teste (Ingénierie des Systèmes d Inf., 2017)

Managing Reduction in Multidimensional Databases. - Franck Ravat; Jiefu Song; Olivier Teste (SOFSEM, 2018)

A Unified Approach to Multisource Data Analyses. - Franck Ravat; Jiefu Song (Fundam. Informaticae, 2018)

Improving the performance of querying multidimensional RDF data using aggregates. - Franck Ravat; Jiefu Song; Olivier Teste; Cássia Trojahn (SAC, 2019)

A generic modelling to capture the temporal evolution in graphs. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (EDA, 2020)

Efficient querying of multidimensional RDF data with aggregates: Comparing NoSQL, RDF and relational data stores. - Franck Ravat; Jiefu Song; Olivier Teste; Cássia Trojahn (Int. J. Inf. Manag., 2020)

Towards an Efficient Approach to Manage Graph Data Evolution: Conceptual Modelling and Experimental Assessments. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (RCIS, 2021)

Expert system dedicated to condition-based maintenance based on a knowledge graph approach: Application to an aeronautic system. - Alexandre Sarazin; Jérémy Bascans; Jean-Baptiste Sciau; Jiefu Song; Bruno Supiot; Aurélie Montarnal; Xavier Lorca; Sébastien Truptil (Expert Syst. Appl., 2021)

Querying Temporal Property Graphs. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (CAiSE, 2022)

Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams. - Achraf Krim Rahaoui; Theobald de Riberolles; Jiefu Song (ICPRAI (2), 2022)

Vers une approche efficiente de gestion d'évolution des données graphes. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (INFORSID, 2022)

Anomaly detection for ICS based on deep learning: a use case for aeronautical radar data. - Theobald de Riberolles; Yunkai Zou; Guthemberg Silvestre; Emmanuel Lochin; Jiefu Song (Ann. des Télécommunications, 2022)

Graph data temporal evolutions: From conceptual modelling to implementation. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (Data Knowl. Eng., 2022)

Semantic Centrality for Temporal Graphs. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (ADBIS (Short Papers), 2023)

Interrogation des graphes temporels de propriétés. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau (INFORSID, 2023)

Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs. - Zhi Cheng; Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau; Philippe Fournier-Viger; Nazha Selmaoui-Folcher (PAKDD (2), 2023)

Energy Measurement System for Data Lake: An Initial Approach. - Hernán Humberto Álvarez-Valera; Alexandre Maurice; Franck Ravat; Jiefu Song; Philippe Roose; Nathalie Vallès-Parlangeau (ACIIDS (1), 2024)

Embedding-Based Data Matching for Disparate Data Sources. - Nour Elhouda Kired; Franck Ravat; Jiefu Song; Olivier Teste (DaWaK, 2024)

FLOC: outil de mesure énergétique multi-composants. - Hernán Humberto Álvarez-Valera; Franck Ravat; Jiefu Song; Philippe Roose; Nathalie Vallès (INFORSID, 2024)

Entity Resolution for Streaming Data with Embeddings. - Zhongwei Ma; Philippe Roose; Jiefu Song (DaWaK, 2025)

Selective Evolving Centrality in Temporal Heterogeneous Graphs. - Landy Andriamampianina; Franck Ravat; Jiefu Song; Nathalie Vallès-Parlangeau; Yanpei Wang (EDBT, 2025)

Alignment of Schema-Only and Instance-Only Data Sources Using Large Language Models. - Nour Elhouda Kired; Franck Ravat; Jiefu Song; Olivier Teste (RCIS (2), 2025)