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Junliang Yu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Junliang Yu
26
papers ·
1295
citations ·
27
h-index
Griffith University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
2021 · 472 citations
Self-Supervised Graph Co-Training for Session-based Recommendation
2021 · 185 citations
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
2020 · 178 citations
Fast-adapting and Privacy-preserving Federated Recommender System
2021 · 134 citations
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
2021 · 83 citations
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
2020 · 79 citations
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
2022 · 58 citations
Self-Supervised Learning for Recommender Systems: A Survey
2022 · 35 citations
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
2022 · 29 citations
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
2023 · 9 citations
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation
2022 · 7 citations
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
2020 · 2 citations
Efficient On-Device Session-Based Recommendation
2022 · 1 citations
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation
2023 · 1 citations
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
2023 · 1 citations
Top co-authors
Hongzhi Yin
· 15
Min Gao
· 8
Xin Xia
· 5
Jundong Li
· 4
Lizhen Cui
· 4
Qinyong Wang
· 4
Shazia Sadiq
· 4
Tong Chen
· 4
Nguyen Quoc Viet Hung
· 3
Qingyu Xiong
· 3
Zongwei Wang
· 3
Chaoqun Yang
· 2
Topics
Collaborative Filtering
LLM-based
Graph-based
Sequential & Session
Ranking & CTR
Cold Start & Cross-Domain
Two-Tower & Retrieval
cs.CR
cs.CY
Fairness & Ethics