Lele Fu
11 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4)
π
Century Club
(10)
β‘
Prolific Year
(9)
Conferences
IJCAI (4)
AAAI (3)
ICML (3)
NIPS (1)
Top co-authors
Keywords
federated learning
(4)
graph neural network
(3)
optimal transport
(2)
representation learning
(2)
prototype learning
(2)
contrastive learning
(2)
federated graph learning
(2)
feature extraction
(1)
attention mechanism
(1)
domain adaptation
(1)
bias correction
(1)
cross-domain learning
(1)
privacy preservation
(1)
graph generation
(1)
self-supervised learning
(1)
multi-view learning
(1)
out-of-distribution generalization
(1)
model aggregation
(1)
semantic alignment
(1)
graph clustering
(1)
Papers
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning
AAAI 2026
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
AAAI 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
Towards Understanding Parametric Generalized Category Discovery on Graphs
ICML 2025
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
ICML 2025
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
IJCAI 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network
IJCAI 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
NIPS 2024