[DBLP] [Google Citations]

Conference and Workshop Papers

  1. Alexandra Iacob, Bogdan Cautis, Silviu Maniu. Sequential Learning Algorithms for Contextual Model-Free Influence Maximization. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. [paper]
  2. Yangke Sun, Bogdan Cautis, Silviu Maniu. Social Influence-Maximizing Group Recommendation. In International AAAI Conference on Web and Social Media (ICWSM), 2023. [paper]
  3. Alexandra Iacob, Bogdan Cautis, Silviu Maniu. Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach. In SIAM International Conference on Data Mining (SDM), 2022. [paper]
  4. Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li. Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. In SIAM International Conference on Data Mining (SDM), 2022.
  5. Yann Ramusat, Silviu Maniu, Pierre Senellart. Efficient provenance-aware querying of graph databases with Datalog. In ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics (GRADES-NDA), 2022. [paper]
  6. Yann Ramusat, Silviu Maniu, Pierre Senellart. Provenance-Based Algorithms for Rich Queries over Graph Databases. In International Conference on Extending Database Technology (EDBT), 2021. [paper]
  7. Silviu Maniu, Stratis Ioannidis, Bogdan Cautis. Bandits Under The Influence. In IEEE International Conference on Data Mining (ICDM), 2020. [paper] [slides]
  8. Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu. Compressed Adaptive Random Forests for Evolving Data Streams. In International Joint Conference on Neural Networks (IJCNN), 2020. [paper]
  9. Maroua Bahri, Albert Biget, Silviu Maniu, Rodrigo F. de Mello and Nikolaos Tziortziotis. Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. In European Conference on Artificial Intelligence (ECAI), 2020. [paper]
  10. Maroua Bahri, Bernard Phahringer, Albert Bifet and Silviu Maniu. Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. In Symposium on Intelligent Data Analysis (IDA), 2020. [paper]
  11. Silviu Maniu, Pierre Senellart and Suraj Jog. An Experimental Study of the Treewidth of Real-World Graph Data. In International Conference of Database Theory (ICDT), 2019. [paper][code][slides]
  12. Maroua Bahri, Silviu Maniu and Albert Bifet. A Sketch-Based Naive Bayes Algorithm for Evolving Data Streams. In IEEE International Conference on Big Data (BigData), 2018. [paper]
  13. Yann Ramusat, Silviu Maniu and Pierre Senellart. Semiring Provenance over Graph Databases. In USENIX Workshop on the Theory and Practice of Provenance (TaPP), 2018. Workshop paper. [paper]
  14. Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu and Silviu Maniu. Scalable Evaluation of k-NN Queries on Large Uncertain Graphs. In International Conference on Extending Database Technology (EDBT), 2018. [paper]
  15. Paul Lagrée, Olivier Cappé, Bogdan Cautis and Silviu Maniu. Effective Large-Scale Online Influence Maximization. In IEEE International Conference on Data Mining (ICDM), 2017. [paper]
  16. Antoine Amarilli, Silviu Maniu and Mikaël Monet. Challenges for Efficient Query Evaluation on Structured Probabilistic Data. In International Conference on Scalable Uncertainty Management (SUM), 2016. Vision paper. [paper]
  17. Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng and Pierre Senellart. Online Influence Maximization. In SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015. [paper][slides][poster][code]
  18. Michele Spina, Dario Rossi, Mauro Sozio, Silviu Maniu and Bogdan Cautis. Snooping Wikipedia vandals with MapReduce. In IEEE International Conference on Communications (ICC), 2015. [paper]
  19. Changping Meng, Reynold Cheng, Silviu Maniu, Pierre Senellart and Wangda Zhang. Discovering meta-paths in large heterogeneous information networks. In World Wide Web Conference (WWW), 2015. [paper]
  20. Yudian Zheng, Reynold Cheng, Silviu Maniu and Luyi Mo. On optimality of jury selection in crowdsourcing. In International Conference on Extending Database Technology (EDBT), 2015. [paper]
  21. Georges Gouriten, Silviu Maniu and Pierre Senellart. Scalable, generic, and adaptive systems for focused crawling. In ACM Hypertext Conference (HT), 2014. [paper] Douglas Engelbart Best Paper Award.
  22. Christos Giatsidis, Bogdan Cautis, Silviu Maniu, Dimitrios M. Thilikos and Michalis Vazirigiannis. Quantifying trust dynamics in signed graphs, the S-Cores approach. In SIAM International Conference on Data Mining (SDM), 2014. [paper]
  23. Silviu Maniu and Bogdan Cautis. Context-Aware Top-k Processing Using Views. In ACM Conference on Information And Knowledge Management (CIKM), 2013. [paper][slides]
  24. Silviu Maniu and Bogdan Cautis. Network-Aware Search in Collaborative Tagging Applications: Instance Optimality versus Efficiency. In ACM Conference on Information And Knowledge Management (CIKM), 2013. [paper][slides]
  25. Silviu Maniu, Neil O’Hare, Luca Maria Aiello, Luca Chiarandini and Alejandro Jaimes. Search Behaviour on Photo Sharing Platforms. In IEEE International Conference on Multimedia and Expo (ICME), 2013. [paper]
  26. Silviu Maniu, Bogdan Cautis and Talel Abdessalem. Building a Signed Network from Interactions in Wikipedia. In First ACM SIGMOD Workshop on Databases and Social Networks (DBSocial), 2011. Workshop paper. [paper]

Journal Papers

  1. Paul Lagrée, Olivier Cappé, Bogdan Cautis and Silviu Maniu. Algorithms for Online Influencer Marketing. In ACM Transactions on Knowledge Discovery from Data (TKDD), 13(1), 2019. [paper][code]
  2. Benoît Groz and Silviu Maniu. Hypervolume Subset Selection with Small Subsets. In Evolutionary Computation, 27(4), 2019.
  3. Silviu Maniu, Reynold Cheng and Pierre Senellart. An Indexing Framework for Queries on Probabilistic Graphs. In ACM Transactions on Database Systems (TODS) 42(2), 2017. [paper]
  4. Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu and Xuan Yang. Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data. In IEEE Transaction on Knowledge and Data Engineering (TKDE) 28(3), 2016. [paper]
  5. Antoine Amarilli, Silviu Maniu and Pierre Senellart. Intensional Data on the Web. In SIGWEB Newsletter (Summer 2015). Invited paper. [paper]
  6. Bogdan Cautis and Silviu Maniu. Recherche top-k dépendant d’un contexte à l’aide de vues. In Ingénierie des Systèmes d’Information 18(4), 2013.

Surveys and Tutorials

  1. Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes and Silviu Maniu. Data Stream Analysis: Foundations, Major Tasks and Tools. In WIREs Data Mining and Knowledge Discovery, 11(3), 2021. Survey paper.
  2. Maroua Bahri, Albert Bifet, Silviu Maniu and Heitor Murilo Gomes. Survey on feature transformation techniques for data streams. In International Joint Conference on Artificial Intelligence (IJCAI), 2020. Survey paper. [paper]
  3. Bogdan Cautis, Silviu Maniu, and Nikolaos Tziortziotis. Adaptive Influence Maximization. Tutorial at KDD 2019, IJCAI 2019, and ECMLPKDD 2019. [slides]

Posters, Demonstrations

  1. Pierre Senellart, Louis Jachiet, Silviu Maniu and Yann Ramusat. ProvSQL: Provenance and Probability Management in PostreSQL. In Proceedings of the VLDB Endowment (PVLDB) 11(12), 2018. Demonstration paper. [paper]
  2. Yixiang Fang, Reynold Cheng, Wenbin Tang and Silviu Maniu and Xuan Yang. Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data (Extended Abstract). In IEEE International Conference on Data Engineering (ICDE), 2016. Poster paper. [paper]
  3. Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He and Wei Fan. StreamDM: Advanced Data Mining in Spark Streaming. In IEEE International Conference on Data Mining (ICDM), 2015. Demonstration paper. [paper]
  4. Siyu Lei, Xuan S. Yang, Luyi Mo, Silviu Maniu and Reynold Cheng. iTag: Incentive-Based Tagging. In IEEE International Conference on Data Engineering (ICDE), 2014. Demonstration paper. [paper] [poster]
  5. Silviu Maniu and Bogdan Cautis. Taagle: Efficient, Personalized Search in Collaborative Tagging Networks. In ACM SIGMOD Conference on the Management of Data, 2012. Demonstration paper. [paper]
  6. Silviu Maniu, Talel Abdessalem and Bogdan Cautis. Casting a web of trust over Wikipedia: an interaction-based approach. In Proceedings of the 20th International Conference Companion on World wide web (WWW), 2011. Poster paper. [paper]

Theses

  1. Silviu Maniu. Graphs and Uncertainty. HDR Thesis. Université Paris-Saclay, 2022. [thesis]
  2. Silviu Maniu. Data Management in Social Networks. PhD Thesis. Télécom Paris, 2012. [thesis]

Informal Publications, Pre-prints

  1. Yann Ramusat, Silviu Maniu, Pierre Senellart. A Practical Dynamic Programming Approach to Datalog Provenance Computation. 2021. [pre-print]
  2. Silviu Maniu, Pierre Senellart and Suraj Jog. Une étude expérimentale de la largeur d’arbre de données graphe du monde réel. In 34ème conférence sur la Gestion de Données (BDA), 2018. Conference without formal proceedings.
  3. Paul Lagrée, Olivier Cappe, Bogdan Cautis and Silviu Maniu. Maximisation en ligne et à grande échelle de l’influence sur les réseaux sociaux. In 33ème conférence sur la Gestion de Données (BDA), 2017. Conference without formal proceedings.
  4. Silviu Maniu, Reynold Cheng and Pierre Senellart. ProbTree: A query-efficient representation of probabilistic graphs. In 1st International Workshop on Big Uncertain Data (BUDA), 2014. Workshop without formal proceedings.
  5. Georges Gouriten, Silviu Maniu and Pierre Senellart. Exploration adaptative des graphes sous contrainte de budget. In 29emes journées Bases de Données Avancées (BDA), 2013. Conference without formal proceedings.
  6. Silviu Maniu and Bogdan Cautis. Context-aware top-k processing using views. In 28emes journées Bases de Données Avancées (BDA), 2012. Conference without formal proceedings.
  7. Talel Abdessalem, Bogdan Cautis and Silviu Maniu. Algorithme top-k pour la recherche d’informations dans les réseaux sociaux. In 27emes journées Bases de Données Avancées (BDA), 2011. Conference without formal proceedings.