Articles de recherche


Vie, Jill-Jênn, and Hisashi Kashima. n.d.a. “Encode & Decode: Generalizing Deep Knowledge Tracing and Multidimensional Item Response Theory.”

———. n.d.b. “Fast Variational Learning of Factorization Machines for Large-Scale Recommender Systems.”

Journal Articles

Vie, Jill-Jênn, Fabrice Popineau, Éric Bruillard, and Yolaine Bourda. 2018a. “Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments.” International Journal of Artificial Intelligence in Education, 1–16.

———. 2018b. “Utilisation de tests adaptatifs dans les MOOC dans un cadre de crowdsourcing.” Revue STICEF, Volume 24, numéro 2, 2017.


We wrote two books about algorithms and data structures: preparing programming contests and coding interviews (Dürr and Vie 2016) and (Belghiti, Mansuy, and Vie 2016).
All 128 algorithms in Python from the book are available on GitHub, in the package tryalgo.

Belghiti, Ismael, Roger Mansuy, and Jill-Jênn Vie. 2016. Les clés pour l’info : ENS et Agrégation (option D). Calvage et Mounet.

Dürr, Christoph, and Jill-Jênn Vie. 2016. Programmation efficace: Les 128 algorithmes qu’il faut avoir compris et codés dans sa vie. Ellipses.

———. 2018. 高效算法: 竞赛、应试与提高必修128例. 人民邮电出版社.

———. 2019. Efficient Programming with Python: 128 Essential Algorithms for Coding Test Prep. Cambridge University Press.

Popineau, Fabrice, Michal Valko, and Jill-Jênn Vie, eds. 2018. Proceedings of the 1st International Workshop Eliciting Adaptive Sequences for Learning (Weasel). CEUR Workshop Proceedings 1.

Book Chapters

We wrote a chapter about recent advances in adaptive assessment (Vie et al. 2017) in a learning analytics book, where we identify similarities between cognitive diagnostic models and item response theory.

Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard. 2017. “A Review of Recent Advances in Adaptive Assessment.” In Learning Analytics: Fundaments, Applications, and Trends, 113–42. Springer.

Conference Proceedings

We unified educational data mining and psychometric theories using factorization machines:

  • Knowledge tracing machines (Vie and Kashima 2019) [tutorial] at AAAI 2019
  • Deep knowledge tracing with dynamic student classification (Minn et al. 2018) at ICDM 2018

Abdalla, Michel, and Jill-Jênn Vie. 2012. “Leakage-Resilient Spatial Encryption.” In International Conference on Cryptology and Information Security in Latin America, 78–99. Springer.

Choffin, Benoît, Fabrice Popineau, Yolaine Bourda, and Jill-Jênn Vie. 2019. “DAS3H: A New Student Learning and Forgetting Model for Optimally Scheduling Distributed Practice of Skills.” In Proceedings of the Twelfth International Conference on Educational Data Mining (EDM 2019), to appear.

Minn, Sein, Yi Yu, Michel Desmarais, Feida Zhu, and Jill-Jênn Vie. 2018. “Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing.” In Proceedings of the 18th IEEE International Conference on Data Mining, 1182–7.

Vie, Jill-Jênn, and Hisashi Kashima. 2019. “Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing.” In Proceedings of the 33th AAAI Conference on Artificial Intelligence, to appear.

Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard. 2016. “Adaptive Testing Using a General Diagnostic Model.” In European Conference on Technology Enhanced Learning, 331–39. Springer.

Other Publications

Vie, Jill-Jênn. 2018. “Deep Factorization Machines for Knowledge Tracing.” In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, 370–73.

Vie, Jill-Jênn, Fabrice Popineau, Jean-Bastien Grill, Éric Bruillard, and Yolaine Bourda. 2015a. “Predicting Performance over Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing.” In 8th International Conference on Educational Data Mining.

———. 2015b. “Prédiction de performance sur des questions dichotomiques : comparaison de modèles pour des tests adaptatifs à grande échelle.” In Atelier Évaluation des Apprentissages et Environnements Informatiques.

Vie, Jill-Jênn, Fabrice Popineau, Françoise Tort, Benjamin Marteau, and Nathalie Denos. 2017. “A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing.” In Proceedings of the Fourth (2017) Acm Conference on Learning @ Scale, 323–26. ACM.

Vie, Jill-Jênn, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, and Hisashi Kashima. 2017. “Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.” In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) – Second International Workshop on Comics Analysis, Processing and Understanding, 03:21–26.

Popularization of Science

We wrote articles in the French magazines Quadrature (Vie 2009), Tangente (Vie 2014a) and GNU Linux Magazine (Vie 2018).

Vie, Jill-Jênn. 2009. “Un Algorithme de Composition Musicale.” Quadrature, no. 72: 10–14.

———. 2014a. “Grolopin et Les Plans Projectifs Finis.” Tangente Hors-Série, no. 52: 128–31.

———. 2014b. “Langages Rationnels et Automates Finis.” Bibliothèque Tangente, no. 52: 52–55.

———. 2018. “Comment Coder Un Système de Recommandation En Python : L’exemple de Mangaki.” GNU/Linux Magazine Hors-Série, no. 94.

Vie, Jill-Jênn, Alexandre Talon, and Arthur Charguéraud. 2014. “Les Concours Informatiques Destinés Aux Jeunes.” Tangente Hors-Série, no. 52: 22.

Rapports de stage


  • Un algorithme de composition musicale

    TIPE recyclé dans le Quadrature n° 72, p. 10-14

  • Langages rationnels et automates finis

    dans Tangente HS n° 52, p. 52-55

  • GroLopin et les plans projectifs finis

    Concours organisé par Prologin, recyclé dans Tangente HS n° 52, p. 128-131