LAMSADE
Zhong Jinfeng
Phd Student
Biography
I'm currently Phd candidate in LAMSADE since Octobre 2020, under the supervision of Prof. Elsa NEGRE (Paris Dauphine University). The subject of work is on the genericity and explainability in recommender systems.
Publications
Articles
Zhong J., Negre E. (2022), Towards Better Representation of Context Into Recommender Systems, International Journal of Knowledge-Based Organizations (IJKBO), vol. 12, n°2, p. 1-12 
Communications avec actes
Zhong J., Negre E. (2024), Attribution par argumentation de caractéristiques sensibles au contexte, in , Paris, CNRS
Zhong J., Le Ngoc L., Negre E., Abel M. (2024), Système de simulations de crises, basé sur une ontologie, pour la mise à l'abri des populations., in Max Chevalier, INFormatique des ORganisations et Systèmes d’Information et de Décision, 57-58 p.
Le Ngoc L., Zhong J., Negre E., Abel M-H. (2023), Constraint-based recommender system for crisis management simulations, in , The 56th Hawaii International Conference on System Sciences, Honolulu, University of Hawaii at Manoa, 1778-1789 p.
Le N., Zhong J., Negre E., Abel M-H. (2023), CORec-Cri: How Collaborative and Social Technologies Can Help to Contextualize Crises?, in , elsevier, Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 4625-4630 p.
Zhong J., Negre E. (2022), Shap-enhanced counterfactual explanations for recommendations, in , The 37th ACM/SIGAPP Symposium On Applied Computing (SAC'22), New York, NY, ACM - Association for Computing Machinery, 1365–1372 p.
Zhong J., Negre E. (2022), A3R: Argumentative explanations for recommendations, in IEEE Xplore, IEEE DSAA 2022 The 9th IEEE International Conference on Data Science and Advanced Analytics, Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 1-9 p.
Zhong J., Negre E. (2022), Towards improving user-recommender systems interactions, in , 2022 IEEE/SICE International Symposium on System Integration (SII), Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 816-820 p.
Zhong J., Negre E. (2021), Towards better representation of context into recommender systems, in , 5th International Conference on Information and Knowledge Systems (ICIKS 2021), Springer
Communications sans actes
Zhong J., Negre E. (2023), A 3 R: Explications argumentées pour les recommandations, ATELIER EXPLAIN'AI Hébergé à la conférence EGC 2023 à Lyon, Lyon, France
Zhong J., Negre E. (2023), Context-aware feature attribution through argumentation, CARS - Workshop on Context-Aware Recommender Systems, Singapour, Singapour
Zhong J., Negre E. (2022), Vers l'amélioration des interactions entre utilisateurs et systèmes de recommandation, ATELIER EXPLAIN'AI Hébergé à la conférence EGC 2022, Blois, France
Zhong J., Negre E. (2022), Amélioration des explications contrefactuelles pour les recommandations à l'aide de SHAP, EDA 2022 : 18ème journées Business Intelligence & Big Data, Clermont-Ferrand, France
Zhong J., Negre E. (2021), AI: To interpret or to explain?, Congrès Inforsid 2021, Dijon, France
Zhong J., Negre E. (2021), Towards improving user-recommender systems interactions, 2022 IEEE/SICE International Symposium on System Integration (SII 2022), Narvi, Norvège
Zhong J., Negre E. (2021), Context-aware explanations in recommender systems, 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021, Salerno, Italie