Zhong Jinfeng - CV

LAMSADE

Zhong Jinfeng

Doctorant

Biographie

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

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.

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), 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. (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. (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), Context-aware feature attribution through argumentation, CARS - Workshop on Context-Aware Recommender Systems, Singapour, Singapour

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. (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), 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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