activity
20232026
most citedContext-aware explainable recommendations over knowledge graphs

2 citations · 6 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2026

GFGE: Unifying Explainable AI Methods through an Interpretation Framework

Jinfeng Zhong

Explainable artificial intelligence (XAI) encompasses methods that draw on different sources of information and address different explanatory needs. A common framework is needed to…

cs.SE2026

Cast: Automated Resilience Testing for Production Cloud Service Systems

Zhuangbin Chen, Zhiling Deng, Kaiming Zhang +4

The distributed nature of microservice architecture introduces significant resilience challenges. Traditional testing methods, limited by extensive manual effort and oversimplified…

cs.AI2025

KANFormer for Predicting Fill Probabilities via Survival Analysis in Limit Order Books

Jinfeng Zhong, Emmanuel Bacry, Agathe Guilloux +1

This paper introduces KANFormer, a novel deep-learning-based model for predicting the time-to-fill of limit orders by leveraging both market- and agent-level information. KANFormer…

cs.HC2024★ 1 cited

Fuzzy synthetic method for evaluating explanations in recommender systems

Jinfeng Zhong, Elsa Negre

Recommender systems aim to help users find relevant items more quickly by providing personalized recommendations. Explanations in recommender systems help users understand why such…

cs.AI2024

When factorization meets argumentation: towards argumentative explanations

Jinfeng Zhong, Elsa Negre

Factorization-based models have gained popularity since the Netflix challenge {(2007)}. Since that, various factorization-based models have been developed and these models have bee…

cs.LG2023★ 2 cited

Context-aware feature attribution through argumentation

Jinfeng Zhong, Elsa Negre

Feature attribution is a fundamental task in both machine learning and data analysis, which involves determining the contribution of individual features or variables to a model's o…

cs.IR2023★ 2 cited

Context-aware explainable recommendations over knowledge graphs

Jinfeng Zhong, Elsa Negre

Knowledge graphs contain rich semantic relationships related to items and incorporating such semantic relationships into recommender systems helps to explore the latent connections…

cs.CY2023★ 1 cited

CORec-Cri: How collaborative and social technologies can help to contextualize crises?

Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre +1

Crisis situations can present complex and multifaceted challenges, often requiring the involvement of multiple organizations and stakeholders with varying areas of expertise, respo…

cs.IR2023

Constraint-based recommender system for crisis management simulations

Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre +1

In the context of the evacuation of populations, some citizens/volunteers may want and be able to participate in the evacuation of populations in difficulty by coming to lend a han…