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Yongfeng Zhang โ most-cited papers & profile ยท Recommender Systems
โ authors
ยท
overview
Yongfeng Zhang
42
papers ยท
803
citations ยท
47
h-index
Rutgers, The State University of New Jersey ยท Rutgers Sexual and Reproductive Health and Rights ยท Northeastern University
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Fairness-Aware Explainable Recommendation over Knowledge Graphs
2020 ยท 189 citations
Personalized Re-ranking for Recommendation
2019 ยท 184 citations
VIP5: Towards Multimodal Foundation Models for Recommendation
2023 ยท 44 citations
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
2024 ยท 33 citations
Personalized Prompt Learning for Explainable Recommendation
2022 ยท 30 citations
A Survey on Trustworthy Recommender Systems
2022 ยท 27 citations
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
2023 ยท 20 citations
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
2019 ยท 19 citations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
2022 ยท 11 citations
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
2023 ยท 11 citations
Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation
2020 ยท 10 citations
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
2023 ยท 7 citations
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
2023 ยท 7 citations
GenRec: Large Language Model for Generative Recommendation
2023 ยท 6 citations
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
2022 ยท 5 citations
Top co-authors
Yingqiang Ge
ยท 8
Shuyuan Xu
ยท 7
Juntao Tan
ยท 5
Wenyue Hua
ยท 5
Zuohui Fu
ยท 5
Zelong Li
ยท 4
Jianchao Ji
ยท 3
Shijie Geng
ยท 3
Shuchang Liu
ยท 3
Yikun Xian
ยท 3
Yunqi Li
ยท 3
Fabrizio Silvestri
ยท 2
Topics
cs.IR
cs.AI
cs.LG
cs.CL
Fairness & Ethics
cs.SI
Graph-based
Ranking & CTR
Cold Start & Cross-Domain
Collaborative Filtering