Curriculum vitae

Zhong Jinfeng

Phd Student


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. 

Latest publications

Communications avec actes

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. (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), Shap-enhanced counterfactual explanations for recommendations, The 37th ACM/SIGAPP Symposium On Applied Computing (SAC'22), Virtual Conference, Tchèque, rÉpublique

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), Towards improving user-recommender systems interactions, 2022 IEEE/SICE International Symposium on System Integration (SII 2022), Narvi, Norvège

Zhong J., Negre E. (2021), AI: To interpret or to explain?, Congrès Inforsid 2021, Dijon, France

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

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