Yinlin Zhu
Scholar

Yinlin Zhu

Google Scholar ID: 6KdamQkAAAAJ
Sun Yat-sen University
Graph Neural NetworksFederated Learning
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Citations & Impact
All-time
Citations
91
 
H-index
4
 
i10-index
3
 
Publications
14
 
Co-authors
2
list available
Contact
Emailzhuylin27@mail2.sysu.edu.cn
Publications
31 items
Toward Omni Multimodal Graph Foundation Model: A Topology-Driven Binding Approach
2026
Cited
0
TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control
2026
Cited
0
No-Free-Graph: Learning When Multimodal Data Should Be Graphified
2026
Cited
0
GraphSelect for Budgeted Representation Selection in Multimodal Graph Inference
2026
Cited
0
ICE: Task-Aligned Clifford Latent Fields for Multimodal Graph Foundation Models
2026
Cited
0
Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach
2026
Cited
0
Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity
2026
Cited
0
RHEA: Reliability-Harmonized Reconstruction and Assignment for Robust Multimodal-Attributed Graph Clustering
2026
Cited
0
Resume
Academic Achievements
  • Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement (NeurIPS 2025, equal contribution)
  • FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning (CIKM 2025)
  • Federated Continual Graph Learning (KDD 2025)
  • Rethinking Federated Graph Learning: A Data Condensation Perspective (IJCAI 2025)
  • OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning (VLDB 2025)
  • FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning (IJCAI 2024)
  • FedGTA: Topology-aware Averaging for Federated Graph Learning (VLDB 2024)
Co-authors
2 total
Xunkai Li
Xunkai Li
School of Computer Science and Technology, Beijing Institution of Technology
Di Wu
Di Wu
Professor of Computer Science, Sun Yat-Sen University