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Yongfeng Zhang — most-cited papers & profile · Generative Models
← authors
·
overview
Yongfeng Zhang
36
papers ·
1888
citations ·
47
h-index
Rutgers, The State University of New Jersey · Rutgers Sexual and Reproductive Health and Rights · Northeastern University
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Semantic Scholar ↗
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Most-cited papers
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
2019 · 549 citations
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
2018 · 446 citations
User-oriented Fairness in Recommendation
2021 · 293 citations
How to Index Item IDs for Recommendation Foundation Models
2023 · 187 citations
Attentive Aspect Modeling for Review-aware Recommendation
2018 · 109 citations
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
2020 · 102 citations
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning
2022 · 87 citations
Causal Collaborative Filtering
2021 · 51 citations
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
2022 · 27 citations
Variation Control and Evaluation for Generative SlateRecommendations
2021 · 25 citations
Learning Post-Hoc Causal Explanations for Recommendation
2020 · 10 citations
INMS: Memory Sharing for Large Language Model based Agents
2024 · 2 citations
TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
2025
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
2025
From Aggregation to Selection: User-Validated Distributed Social Recommendation
2025
Top co-authors
Ahmed A. Metwally
· 1
Ali Payani
· 1
Baixiang Huang
· 1
Caiming Xiong
· 1
Chenguang Wang
· 1
Chen Wang
· 1
Chen-Yu Lee
· 1
Chin-Yuan Yeh
· 1
Dawei Li
· 1
Haitong Ma
· 1
Hanghang Tong
· 1
Hanqing Zeng
· 1
Topics
cs.IR
cs.LG
Evaluation
cs.AI
Code
Collaborative Filtering
Fairness & Ethics
stat.ML
Graph-based
Knowledge Graphs