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Fangzhao Wu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Fangzhao Wu
37
papers ·
642
citations ·
50
h-index
Microsoft Research (United Kingdom) · Tsinghua University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
2021 · 131 citations
Personalized News Recommendation with Knowledge-aware Interactive Matching
2021 · 80 citations
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
2021 · 76 citations
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
2021 · 61 citations
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
2022 · 61 citations
News Recommendation with Candidate-aware User Modeling
2022 · 46 citations
FUM: Fine-grained and Fast User Modeling for News Recommendation
2022 · 26 citations
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
2023 · 26 citations
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning
2020 · 19 citations
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
2021 · 14 citations
FeedRec: News Feed Recommendation with Various User Feedbacks
2021 · 8 citations
End-to-end Learnable Diversity-aware News Recommendation
2022 · 7 citations
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
2021 · 4 citations
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation
2022 · 3 citations
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
2022 · 2 citations
Top co-authors
Chuhan Wu
· 17
Yongfeng Huang
· 16
Tao Qi
· 9
Xing Xie
· 6
Tao Qi
· 4
Yang Yu
· 2
Cheng Soon Ong
· 1
Jaeboum Kim
· 1
Jingqi Gao
· 1
Jingwei Yi
· 1
Mengyan Zhang
· 1
Peilin Zhou
· 1
Topics
cs.IR
Ranking & CTR
Cold Start & Cross-Domain
Collaborative Filtering
cs.CL
cs.LG