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Philip S. Yu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Philip S. Yu
128
papers ·
3532
citations ·
169
h-index
University of Illinois Urbana-Champaign · University of Illinois System · California State University, Chico · University of Illinois Chicago · University of Chicago · Southwest Jiaotong University
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Most-cited papers
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
2017 · 1024 citations
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
2019 · 177 citations
Sequential Recommendation via Stochastic Self-Attention
2022 · 175 citations
Graph Learning based Recommender Systems: A Review
2021 · 167 citations
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
2021 · 165 citations
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
2019 · 100 citations
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
2021 · 83 citations
Heterogeneous Information Network Embedding for Recommendation
2017 · 74 citations
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
2020 · 73 citations
Hyperbolic Hypergraphs for Sequential Recommendation
2021 · 63 citations
Graph Collaborative Signals Denoising and Augmentation for Recommendation
2023 · 59 citations
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
2021 · 51 citations
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
2018 · 46 citations
Pre-training Graph Neural Network for Cross Domain Recommendation
2021 · 43 citations
Graph Learning Approaches to Recommender Systems: A Review
2020 · 28 citations
Top co-authors
Zhiwei Liu
· 19
Liangwei Yang
· 17
Chen Wang
· 7
Hao Peng
· 7
Mingdai Yang
· 5
Weizhi Zhang
· 5
Zihe Song
· 5
Ziwei Fan
· 5
Henry Peng Zou
· 4
Xiaohan Li
· 4
Xiaolong Liu
· 4
Ke Xu
· 3
Topics
Collaborative Filtering
Graph-based
Cold Start & Cross-Domain
Sequential & Session
LLM-based
Ranking & CTR
Two-Tower & Retrieval
Fairness & Ethics