Tianchi Liao
8 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (6) πΊοΈ Taxonomy Completionist (16)
β‘
Prolific Year
(6)
Conferences
IJCAI (3)
AAAI (2)
ICML (2)
NIPS (1)
Top co-authors
Keywords
federated learning
(5)
graph neural network
(2)
contrastive learning
(1)
multi-task learning
(1)
domain adaptation
(1)
prototype learning
(1)
optimal transport
(1)
attention mechanism
(1)
cross-domain learning
(1)
privacy preservation
(1)
graph generation
(1)
model aggregation
(1)
out-of-distribution generalization
(1)
bias correction
(1)
feature invariance
(1)
communication efficiency
(1)
trace norm
(1)
bias mitigation
(1)
federated graph learning
(1)
federated prototype learning
(1)
Papers
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction
AAAI 2026
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
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
IJCAI 2025
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
NIPS 2024