Jill-Jênn Vie
Researcher at Inria
Preprints
Vie, Jill-Jênn, and Hisashi Kashima. n.d.a. “Encode & Decode: Generalizing Deep Knowledge Tracing and Multidimensional Item Response Theory.” http://jiji.cat/bigdata/edm2019_submission.pdf.
———. n.d.b. “Fast Variational Learning of Factorization Machines for Large-Scale Recommender Systems.” http://jiji.cat/bigdata/vie2019vfm.pdf.
Journal Articles
Brat, Gabriel A, Griffin M Weber, Nils Gehlenborg, Paul Avillach, Nathan P Palmer, Luca Chiovato, James Cimino, et al. 2020. “International Electronic Health Record-Derived Covid-19 Clinical Course Profiles: The 4CE Consortium.” Npj Digital Medecine 3 (1): 109. https://doi.org/10.1038/s41746-020-00308-0.
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. https://rdcu.be/G30H.
———. 2018b. “Utilisation de tests adaptatifs dans les MOOC dans un cadre de crowdsourcing.” Revue STICEF, Volume 24, numéro 2, 2017. https://doi.org/10.23709/sticef.24.2.6.
Books
With Christoph Dürr, we explain 128 algorithms for preparing coding interviews & programming contests (Dürr and Vie 2016).
All 128 algorithms in Python from the book are available on GitHub, in the package tryalgo.
- Available in French: Programmation efficace 🇫🇷
- In Chinese: 高效算法 🇨🇳 (Dürr and Vie 2018)
- In Taiwanese: 培養與鍛鍊程式設計的邏輯腦 🇹🇼 (Dürr and Vie 2019)
- In English in October 2020, pre-order now: Competitive Programming with Python 🇬🇧 (Dürr and Vie, n.d.)
We wrote another book to prepare French competitive exams: ENS and agrégation (Belghiti, Mansuy, and Vie 2016).
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. https://tryalgo.org.
———. 2018. 高效算法: 竞赛、应试与提高必修128例. 人民邮电出版社. https://book.douban.com/subject/30210075/.
———. 2019. 培養與鍛鍊程式設計的邏輯腦: 程式設計大賽的128個進階技巧(使用Python). 博碩文化股份. http://www.drmaster.com.tw/Bookinfo.asp?BookID=MP11906.
———. n.d. Competitive Programming in Python: 128 Algorithms to Develop Your Coding Skills. 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. https://humanlearn.io/proceedings/vol-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, Benoı̂t, Fabrice Popineau, Yolaine Bourda, and Jill-Jênn Vie. 2019. “DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills.” In Proceedings of the Twelfth International Conference on Educational Data Mining (EDM 2019), 29–38. https://arxiv.org/abs/1905.06873.
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. https://arxiv.org/abs/1809.08713.
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, 750–57. https://arxiv.org/abs/1811.03388.
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. https://arxiv.org/abs/1805.00356.
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. https://github.com/jilljenn/las2017-wip/.
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. https://arxiv.org/abs/1709.01584.
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. https://jill-jenn.net/_static/works/un-algorithme-de-composition-musicale.pdf.
———. 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. https://mangaki.fr/static/mangaki-linuxmag.pdf.
Vie, Jill-Jênn, Alexandre Talon, and Arthur Charguéraud. 2014. “Les Concours Informatiques Destinés Aux Jeunes.” Tangente Hors-Série, no. 52: 22.