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fr:recherche [2023/12/06 16:50] – [Other scientific activities] nguyenlifr:recherche [2024/03/20 16:53] (Version actuelle) – [Master thesis students] nguyenli
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 * Active learning, Ensemble learning\\ * Active learning, Ensemble learning\\
  
-====== List of publications ======+** List of publications **
  
 *[[https://scholar.google.fr/citations?hl=en&user=J-PcfGgAAAAJ&view_op=list_works&sortby=pubdate|Google Scholar]]\\ *[[https://scholar.google.fr/citations?hl=en&user=J-PcfGgAAAAJ&view_op=list_works&sortby=pubdate|Google Scholar]]\\
 *[[https://dblp.org/pid/164/2698.html|DBLP]]\\ *[[https://dblp.org/pid/164/2698.html|DBLP]]\\
-==== Co-authors (a non-exhaustive list in alphabetical order) ====+ 
 +** Co-authors (a non-exhaustive list in alphabetical order) ** 
 *[[https://salmuz.github.io/|Yonatan Carlos Carranza Alarcón]],  *[[https://salmuz.github.io/|Yonatan Carlos Carranza Alarcón]], 
 [[https://uai.win.tue.nl/author/cassio-de-campos/|Cassio de Campos]],  [[https://uai.win.tue.nl/author/cassio-de-campos/|Cassio de Campos]], 
 [[https://www.hds.utc.fr/~sdesterc/dokuwiki/doku.php/|Sébastien Destercke]],  [[https://www.hds.utc.fr/~sdesterc/dokuwiki/doku.php/|Sébastien Destercke]], 
-[[https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/about-us/team/johannes-fuernkranz/|Johannes Fürnkranz]], [[http://www.jaist.ac.jp/~huynh/dokuwiki/doku.php?id=user:namhuynh:start|Van-Nam Huynh]], [[https://www.kiml.ifi.lmu.de/people/professors/huellermeier/index.html|Eyke Hüllermeier]], +[[https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/about-us/team/johannes-fuernkranz/|Johannes Fürnkranz]], 
 +[[https://scholar.google.fr/citations?user=-ELkSDcAAAAJ&hl=en|Xuan-Truong Hoang]],  
 +[[http://www.jaist.ac.jp/~huynh/dokuwiki/doku.php?id=user:namhuynh:start|Van-Nam Huynh]], [[https://www.kiml.ifi.lmu.de/people/professors/huellermeier/index.html|Eyke Hüllermeier]], 
 [[https://www.hds.utc.fr/~massomar/dokuwiki/|Mylène Masson]],  [[https://www.hds.utc.fr/~massomar/dokuwiki/|Mylène Masson]], 
 [[http://www.eneldo.net/research/|Eneldo Loza Mencía]],  [[http://www.eneldo.net/research/|Eneldo Loza Mencía]], 
 [[https://www.kiml.ifi.lmu.de/people/employees/rapp/index.html|Michael Rapp]],  [[https://www.kiml.ifi.lmu.de/people/employees/rapp/index.html|Michael Rapp]], 
 [[https://www.kiml.ifi.lmu.de/people/employees/ardakani/index.html| Mohammad Hossein Shaker]], [[https://www.kiml.ifi.lmu.de/people/employees/ardakani/index.html| Mohammad Hossein Shaker]],
-[[https://yangyang-pro.github.io/|Yang Yang]]. +[[https://yangyang-pro.github.io/|Yang Yang]], 
-==== Few publications (illustrating types of research questions I have been tackling) ====+[[https://scholar.google.fr/citations?user=KAgZOtMAAAAJ&hl=en|Haifei Zhang]].
  
-* Nguyen, V. L., Yang, Y., & de Campos, Cassio P. (2023). [[https://openreview.net/forum?id=3WnTBadc-J|Probabilistic Multi-Dimensional Classification]]. In Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1-12. 2023. \\+** Few publications (illustrating types of research questions I have been tackling) ** 
 + 
 +* Nguyen, V. L., Zhang, H., & Destercke, S. (2023). [[https://link.springer.com/chapter/10.1007/978-3-031-45608-4_21|Learning Sets of Probabilities Through Ensemble Methods]]. In Proceedings of the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), pp. 1-14. 
 + 
 +* Nguyen, V. L., Yang, Y., & de Campos, Cassio P. (2023). [[https://openreview.net/forum?id=3WnTBadc-J|Probabilistic Multi-Dimensional Classification]]. In Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1-12. \\
  
 * Nguyen, V. L., Shaker, M. H., & Hüllermeier, E. (2022). [[https://link.springer.com/article/10.1007/s10994-021-06003-9|How to measure uncertainty in uncertainty sampling for active learning]]. Machine Learning, 111(1), 89-122. \\ * Nguyen, V. L., Shaker, M. H., & Hüllermeier, E. (2022). [[https://link.springer.com/article/10.1007/s10994-021-06003-9|How to measure uncertainty in uncertainty sampling for active learning]]. Machine Learning, 111(1), 89-122. \\
  
 * Nguyen, V. L., & Hüllermeier, E. (2021). [[https://www.jair.org/index.php/jair/article/view/12610|Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence]]. Journal of Artificial Intelligence Research, 72, 613-665. \\ * Nguyen, V. L., & Hüllermeier, E. (2021). [[https://www.jair.org/index.php/jair/article/view/12610|Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence]]. Journal of Artificial Intelligence Research, 72, 613-665. \\
- 
-* Nguyen, V. L., Destercke, S., Masson, M. H., & Ghassani, R. (2021). [[https://link.springer.com/article/10.1007/s00500-021-05872-5|Racing trees to query partial data]]. Soft Computing, 25(14), 9285-9305. \\ 
  
 * Nguyen, V. L., Destercke, S., Masson, M. H., & Hüllermeier, E. (2018). [[https://www.ijcai.org/proceedings/2018/0706.pdf|Reliable multi-class classification based on pairwise epistemic and aleatoric uncertainty]]. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pp. 5089-5095. * Nguyen, V. L., Destercke, S., Masson, M. H., & Hüllermeier, E. (2018). [[https://www.ijcai.org/proceedings/2018/0706.pdf|Reliable multi-class classification based on pairwise epistemic and aleatoric uncertainty]]. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pp. 5089-5095.
 +
 +
 +====== Post-doctorate researchers======
 +
 +**Coming soon**
 +
 +* Kim-Dung Tran (co-supervised with [[https://www.hds.utc.fr/~sdesterc/dokuwiki/doku.php|Sébastien Destercke]]): Tensor decompositions and their applications in machine learning
 +
 +**In progress**
 +
 +* No
 +
 +
 ====== PhD students====== ====== PhD students======
  
 **In progress** **In progress**
  
-* [[https://www.researchgate.net/profile/Ha-Do-Thu-3|Thu-Ha Do]]: [[https://www.hds.utc.fr/~nguyenli/dokuwiki/_media/fr/utc_phd_proposal_probabilistic_graphical_models_for_complex_learning_tasks.pdf|Probabilistic Graphical Models for Complex Learning Tasks]] (co-supervised with [[https://www.hds.utc.fr/~grandval/dokuwiki/|Yves Grandvalet]])+* [[https://www.hds.utc.fr/~dothuha/dokuwiki/fr/start|Thu-Ha Do]] (co-supervised with [[https://www.hds.utc.fr/~grandval/dokuwiki/|Yves Grandvalet]]): [[https://www.hds.utc.fr/~nguyenli/dokuwiki/_media/fr/utc_phd_proposal_probabilistic_graphical_models_for_complex_learning_tasks.pdf|Probabilistic Graphical Models for Complex Learning Tasks]]
  
 **Defended** **Defended**
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 **In progress** **In progress**
  
-* No+* Salvador Madrigal Castillo (co-supervised with [[https://scholar.google.com/citations?hl=fr&user=tGAtHxcAAAAJ&view_op=list_works&sortby=pubdate|Cyprien Gilet]] and [[https://www.hds.utc.fr/~sdesterc/dokuwiki/doku.php|Sébastien Destercke]]): "Minimax Classifiers for Multi-Label Classification", University of Technology of Compiègne, France, 2024.
  
 **Defended** **Defended**
  
-* [[https://yangyang-pro.github.io/|Yang Yang]] (co-supervised with [[https://uai.win.tue.nl/author/cassio-de-campos/|Cassio de Campos]]): ''[[https://yangyang-pro.github.io/publication/master-thesis/|Generalized Bayesian Network Classifiers]]'' - now PhD student at KU Leuven +* [[https://yangyang-pro.github.io/|Yang Yang]] (co-supervised with [[https://uai.win.tue.nl/author/cassio-de-campos/|Cassio de Campos]]): ''[[https://yangyang-pro.github.io/publication/master-thesis/|Generalized Bayesian Network Classifiers]]'', Eindhoven University of Technology, the Netherlands, 2022.
 ====== Other scientific activities ====== ====== Other scientific activities ======
  
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 * AISTATS (2021-2022) \\ * AISTATS (2021-2022) \\
 * UAI (2021) \\ * UAI (2021) \\
 +* ECAI (2024) \\
 * ISIPTA (2023) \\ * ISIPTA (2023) \\
 * IUKM (2023) \\ * IUKM (2023) \\
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 **Reviewing activities** **Reviewing activities**
  
-* International Journal of Approximate Reasoning (2023), Pattern Recognition (2023), ACM Transactions on Probabilistic Machine Learning (2024)+* International Journal of Approximate Reasoning (2023, 2024) \\ 
 +* Pattern Recognition (2023) \\ 
 +* ACM Transactions on Probabilistic Machine Learning (2024) 
 + 
 +**Grant reviewing** 
 + 
 +* National Science Center, Poland (2024)

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