Yazhou Ren
33 papers · 2017–2026 · 8 venues · across top CS/AI venues
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(22)
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(6)
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Research topics
Machine Learning
(29)
Core Methods
(28)
Learning Types Β· Machine Learning
(20)
Deep Learning
(17)
Architectures
(12)
Learning Types Β· Deep Learning
(8)
Data Science & Analytics
(7)
Applications
(7)
Artificial Intelligence
(5)
Computer Vision
(4)
Analysis
(3)
Core AI
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Application Areas
(2)
Keywords
multi-view clustering
(18)
contrastive learning
(10)
representation learning
(9)
graph neural network
(7)
multi-view learning
(5)
self-supervised learning
(4)
variational inference
(2)
anchor graph
(2)
multi-view graph clustering
(2)
feature learning
(2)
federated multi-view clustering
(2)
hyperbolic embedding
(2)
tensor decomposition
(2)
attention mechanism
(2)
hierarchical clustering
(2)
sample weighting
(2)
similarity learning
(2)
deep learning
(2)
unsupervised learning
(2)
graph clustering
(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
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition
IJCAI 2025
Graph Embedded Contrastive Learning for Multi-View Clustering
IJCAI 2025
Multi-View Graph Clustering via Node-Guided Contrastive Encoding
ICML 2025
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering
AAAI 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
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
CVPR 2024
S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
CVPR 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion
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
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering
ICCV 2023
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
AAAI 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
NeurIPS 2023
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
EACL 2023
Contrastive Multi-view Hyperbolic Hierarchical Clustering
IJCAI 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Multi-Level Feature Learning for Contrastive Multi-View Clustering
CVPR 2022
Multi-view Subspace Clustering on Topological Manifold
NeurIPS 2022
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering
ICCV 2021
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples
ECCV 2020
Ranking-Based Deep Cross-Modal Hashing
AAAI 2019
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning
IJCAI 2017