activity
20232026
most citedContext-aware explainable recommendations over knowledge graphs

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

collaborators

7 papers

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.HC20241 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.LG20232 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.IR20232 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…