Jill-Jênn Vie 黄積仁

ML Researcher in RIKEN AIP & Kyoto Univ.

Our papers have been accepted to International Journal of Artificial Intelligence in Education (IJAIED) (Vie, Popineau, Bourda, et al. 2017) and STICEF (Vie, Popineau, Bruillard, et al. 2016).

I’m a researcher in RIKEN AIP (Tokyo) in Hisashi Kashima’s Human Computation team.
I’m interested in adaptive learning and education.

Contact me: vie@jill-jenn.net / My résumé / FR

Research Interests

Active Learning in Generalized Linear Models

(adaptive testing, item response theory), see my benchmarks on GitHub

Matrix factorization

(cold-start in recommender systems like Mangaki, crowdsourcing)

Slides and benchmark code of my IACAT 2017 presentation in Niigata: Multistage Testing using Determinantal Point Processes
Slides and benchmark code of my IACAT 2017 presentation in Niigata: Multistage Testing using Determinantal Point Processes
Our publication Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario [arXiv] [slides] has been accepted to MANPU 2017 in Kyoto.
Our publication Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario [arXiv] [slides] has been accepted to MANPU 2017 in Kyoto.
I write free software for the French MoE: PIX is a certification of digital skills. Presented at Learning at Scale 2017 in Boston: [poster] [article]
I write free software for the French MoE:
PIX is a certification of digital skills.
Presented at Learning at Scale 2017 in Boston: [poster] [article]

Music

I’m the pianist of Trio ELM: together with two talented singers, we perform anime and video game music in concerts.
I’m the pianist of Trio ELM: together with two talented singers, we perform anime and video game music in concerts.
I enjoy playing Kapustin music and transcribing anime sheet music, see my YouTube videos.
I enjoy playing Kapustin music and transcribing anime sheet music, see my YouTube videos.
I also compose music using Markov chains. It was used to compose the music of the TV show Blame the Algorithm.
I also compose music using Markov chains. It was used to compose the music of the TV show Blame the Algorithm.

Achievements

2 books about algorithms & data structures
1 Python package pip install tryalgo128 algorithms for coding contests
✅ A programming summer school for K-12 girlsGirls Can Code! since 2014
✅ An open-source anime recommender systemMangaki
✅ A TV show about algorithms that take control of our lives → Blame the Algorithm
✅ A data challenge with Kyoto University. [problem] [solutions]

❎ Play more Kapustin (so far only Etude 1)
❎ Write a screenplay for Ubik
❎ Read Yasutaka Tsutsui’s Gaspard in the Morning

Publications

See my Scholar page

Books

I co-wrote two books about algorithms and data structures: preparing programming contests and coding interviews (Dürr and Vie 2016) and (Belghiti, Mansuy, and Vie 2016).
The book is in French but the code is in Python: all 128 algorithms are on GitHub, in the Python package tryalgo.

Book Chapters

I wrote a chapter about adaptive assessment (Vie, Popineau, Bourda, et al. 2016a) in a learning analytics book, where I identify similarities between cognitive diagnostic models and item response theory.

Conference Proceedings

I used to do cryptography in my master’s degree and published an article about leakage resilience (Abdalla and Vie 2012).
Used a General Diagnostic Model for adaptive testing and showed that it outperformed the DINA and Rasch models at predicting examinee performance (Vie, Popineau, Bourda, et al. 2016b).


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.

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. Ellipses.

Vie, Jill-Jênn, Fabrice Popineau, Yolaine Bourda, and Éric Bruillard. 2016a. “A Review of Recent Advances in Adaptive Assessment.” In Learning Analytics: Fundaments, Applications, and Trends: A View of the Current State of the Art, in press. Springer.

———. 2016b. “Adaptive Testing Using a General Diagnostic Model.” In European Conference on Technology Enhanced Learning, 331–39. Springer.

———. 2017. “Automated Test Assembly Using Determinantal Point Processes for Handling Learner Cold-Start in Large-Scale Assessments.” IJAIED, in press.

Vie, Jill-Jênn, Fabrice Popineau, Éric Bruillard, and Yolaine Bourda. 2016. “Utilisation de tests adaptatifs dans les MOOC dans un cadre de crowdsourcing.” STICEF, in press.

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, EDM 2015.

———. 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, EIAH 2015.

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/blob/master/poster-las2017.pdf.

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.” ArXiv E-Prints, September. https://arxiv.org/abs/1709.01584.