Bowen Deng
12 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (6)
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Taxonomy Completionist
(30)
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Conference Polyglot
(6)
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Century Club
(11)
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Keyword Collector
(60)
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Trend Setter
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Prolific Year
(8)
Conferences
CVPR (3)
IJCAI (3)
AAAI (2)
ICML (2)
ACML (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(4)
reinforcement learning
(2)
federated learning
(2)
optimal transport
(2)
attention mechanism
(2)
graph clustering
(1)
visual saliency
(1)
representation learning
(1)
bias correction
(1)
prototype learning
(1)
self-supervised learning
(1)
object detection
(1)
knowledge distillation
(1)
cross-domain learning
(1)
privacy preservation
(1)
cross-modal learning
(1)
graph generation
(1)
out-of-distribution generalization
(1)
curriculum learning
(1)
contrastive learning
(1)
Papers
Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture
AAAI 2026
Towards Understanding Parametric Generalized Category Discovery on Graphs
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
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
CVPR 2025
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
ICLR 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
AAAI 2025
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
ICML 2025
Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks
CVPR 2024
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning
ACML 2023
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
CVPR 2019