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Yongfeng Zhang — most-cited papers & profile · Large Language Models
← authors
·
overview
Yongfeng Zhang
15
papers ·
1888
citations ·
13
h-index
Inner Mongolia University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
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
Cerebrum (AIOS SDK): A Platform For Agent Development, Deployment, Distribution, And Discovery
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
Topics
Collaborative Filtering
Ranking & CTR
Graph-based
Fairness & Ethics
Memory
Sequential & Session
Multi-Agent
Code Agents
Browser Agents
LLM Security