Scholar

Yinlin Zhu

Google Scholar ID: 6KdamQkAAAAJ

Sun Yat-sen University

Graph Neural NetworksFederated Learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

H-index

i10-index

Publications

Co-authors

list available

Contact

Emailzhuylin27@mail2.sysu.edu.cn

Publications

19 items

TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution

2026

Cited

Adapter-Augmented Bandits for Online Multi-Constrained Multi-Modal Inference Scheduling

2026

Cited

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs

2026

Cited

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach

2026

Cited

MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning

2026

Cited

Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective

2025

Cited

FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling

2025

Cited

DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning

2025

Cited

Resume (English only)

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

School of Computer Science and Technology, Beijing Institution of Technology

Di Wu

Professor of Computer Science, Sun Yat-Sen University