Chuan Chen
16 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Grand Slam
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(15)
Deep Learning
(9)
Core Methods
(8)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Learning Paradigms Β· Machine Learning
(3)
Models
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
federated learning
(6)
graph neural network
(4)
representation learning
(3)
contrastive learning
(2)
prototype learning
(2)
domain adaptation
(2)
optimal transport
(2)
graph clustering
(2)
multi-task learning
(1)
text classification
(1)
unsupervised learning
(1)
privacy preservation
(1)
graph theory
(1)
embedding space
(1)
attention mechanism
(1)
transfer learning
(1)
self-supervised learning
(1)
cross-domain learning
(1)
variational inference
(1)
differential privacy
(1)
Papers
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction
AAAI 2026
Guiding Diffusion Models with Fine-Grained Conditions and Semantics-Preserving Sampling for One-Shot Federated Learning
CVPR 2026
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
ICLR 2025
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
IJCAI 2025
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
ICML 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
AAAI 2025
Towards Understanding Parametric Generalized Category Discovery on Graphs
ICML 2025
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
NeurIPS 2024
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification
IJCAI 2019
Tensor Decomposition for Multilayer Networks Clustering
AAAI 2019
Variational Graph Embedding and Clustering with Laplacian Eigenmaps
IJCAI 2019
Learning Semantic Representations for Unsupervised Domain Adaptation
ICML 2018