Wenxuan Tu
27 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π
Keyword Champion
(11)
π€
Dynamic Duo
(16)
π¬
Deep Specialist
(18)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(107)
Top co-authors
Research topics
Machine Learning
(23)
Core Methods
(22)
Deep Learning
(17)
Architectures
(13)
Learning Types Β· Machine Learning
(12)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(7)
Data Science & Analytics
(6)
Applications
(6)
Learning Paradigms
(5)
Mathematics & Optimization
(3)
Core AI
(3)
Application Areas
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Keywords
graph clustering
(11)
graph neural network
(11)
multi-view clustering
(7)
contrastive learning
(6)
federated learning
(6)
attribute-missing graph
(3)
unsupervised learning
(3)
deep clustering
(3)
positive sample
(2)
representation learning
(2)
siamese network
(2)
self-supervised learning
(2)
incomplete multi-view clustering
(2)
anchor graph
(2)
graph embedding
(2)
consensus learning
(2)
anchor learning
(2)
remote sensing
(2)
negative sample
(2)
attribute imputation
(2)
Papers
Anchor-Driven NystrΓΆm for Deep Graph-Level Clustering
AAAI 2026
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
AAAI 2026
Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing
AAAI 2026
Federated Graph-level Clustering Network with Attribute Inference
AAAI 2026
FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment
AAAI 2026
Personalized Federated Graph-Level Clustering Network
AAAI 2026
Safe-FedLLM: Delving into the Safety of Federated Large Language Models
ACL 2026
Federated Graph-Level Clustering Network
AAAI 2025
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
ICML 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
ICML 2025
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
AAAI 2025
A Non-parametric Graph Clustering Framework for Multi-View Data
AAAI 2024
Attribute-Missing Graph Clustering Network
AAAI 2024
Deep Temporal Graph Clustering
ICLR 2024
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
MICCAI 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
AAAI 2024
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
AAAI 2024
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
ICML 2024
Cluster-Guided Contrastive Graph Clustering Network
AAAI 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI 2023
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
NeurIPS 2022
Attributed Graph Clustering with Dual Redundancy Reduction
IJCAI 2022
Deep Graph Clustering via Dual Correlation Reduction
AAAI 2022
Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph
CVPR 2022
Initializing Then Refining: A Simple Graph Attribute Imputation Network
IJCAI 2022
Deep Fusion Clustering Network
AAAI 2021
One Pass Late Fusion Multi-view Clustering
ICML 2021