Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
Blog Post number 4
Published:
Blog Post number 3
Published:
Blog Post number 2
Published:
Blog Post number 1
Published:
portfolio
Interpretable Hybrid AI with Uncertainty Measure
Funding: UJM New Lecture Fondation - 5k€
Period: From January 2025 to December 2025
publications
Cautious Random Forests: a New Decision Strategy and some Experiments
Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021), 2021
[Paper Link]  [PDF]
Explaining cautious random forests via counterfactuals
Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in International Conference on Soft Methods in Probability and Statistics (SMPS 2022), 2022
[Paper Link]  [PDF]  [Code]
Cautious weighted random forests
Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in Expert Systems with Applications, 2023
[Paper Link]  [PDF]  [Code]
Cautious decision-making for tree ensembles
Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2023), 2023
[Paper Link]  [PDF]  [Code]
Learning Sets of Probabilities Through Ensemble Methods
Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke
Published in European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2023), 2023
[Paper Link]  [PDF]  [Code]
SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions
Haifei Zhang
Published in International Conference on Belief Functions (BELIEF 2024), 2024
[Paper Link]  [PDF]  [Code]
Credal ensembling in multi-class classification
Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke
Published in Expert Systems with Applications, 2025
[Paper Link]  [PDF]  [Code]
Cautious classifier ensembles for set-valued decision-making
Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in International Journal of Approximate Reasoning, 2025
[Paper Link]  [PDF]  [Code]
Efficient and Effective Counterfactual Explanations for Random Forests
Haifei Zhang, Jinfeng Zhong
Published in Expert Systems With Applications, 2025
[Paper Link]  [PDF]  [Code]
talks
Cautious decision-making for tree ensembles
Published:
Explainable Cautious Classifiers
Published:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
Teaching experience 2
Workshop, University 1, Department, 2015