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Yinlin Zhu — most-cited papers & profile · Large Language Models
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overview
Yinlin Zhu
16
papers ·
0
citations ·
3
h-index
Sun Yat-sen University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MMFGU: Multimodal Federated Graph Unlearning
2026
Rethinking Client-oriented Federated Graph Learning
2025
GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
2026
Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs
2026
Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach
2026
Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach
2026
MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning
2026
MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning
2026
DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning
2025
DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning
2025
FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
2025
FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
2025
Rethinking Client-oriented Federated Graph Learning
2025
FedGTA: Topology-aware Averaging for Federated Graph Learning
2024
Federated Continual Graph Learning
2024
Top co-authors
Di Wu
· 1
Guocong Quan
· 1
Miao Hu
· 1
Wang Luo
· 1
Xunkai Li
· 1
Topics
cs.LG
Federated Learning
Communication
Data Heterogeneity
Privacy
cs.AI
Optimization
cs.DB
cs.SI
cs.CV