Xiaorong Pu
17 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Core Methods
(14)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Architectures
(8)
Artificial Intelligence
(4)
Data Science & Analytics
(4)
Applications
(4)
Computer Vision
(3)
Learning Paradigms
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Learning Types Β· Deep Learning
(3)
Analysis
(2)
Core AI
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Keywords
multi-view clustering
(9)
graph neural network
(7)
contrastive learning
(5)
representation learning
(4)
attention mechanism
(2)
self-supervised learning
(2)
multi-view learning
(2)
federated multi-view clustering
(2)
multi-view graph clustering
(2)
variational inference
(2)
vision transformer
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
deep clustering
(1)
federated learning
(1)
graph learning
(1)
redundancy reduction
(1)
graph clustering
(1)
sparse bayesian learning
(1)
mutual information
(1)
Papers
Topology-Aware Vision Transformers for Enhanced Scene Recognition
AAAI 2026
Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering
AAAI 2026
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
ICML 2025
Multi-View Graph Clustering via Node-Guided Contrastive Encoding
ICML 2025
VSNet: Focusing on the Linguistic Characteristics of Sign Language
CVPR 2025
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
AAAI 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
NeurIPS 2024
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction
IJCAI 2024
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering
IJCAI 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
AAAI 2024
Integrating Vision-Language Semantic Graphs in Multi-View Clustering
IJCAI 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction
AAAI 2024
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NeurIPS 2023
Deep Multi-view Subspace Clustering with Anchor Graph
IJCAI 2023
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
AAAI 2023
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
AAAI 2023
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering
ICCV 2021