Cover Image

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Xihong, Wang, Siwei, Wang, Fangdi, Jin, Jiaqi, Liu, Suyuan, Liu, Yue, Zhu, En, Liu, Xinwang, Jin, Yueming
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
by: Yang, Xihong, et al.
Published: (2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
by: Jin, Jiaqi, et al.
Published: (2025)

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
by: Wan, Xinhang, et al.
Published: (2025)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
by: Dai, Yuzhuo, et al.
Published: (2025)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
by: Yang, Xihong, et al.
Published: (2022)

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
by: Wan, Xinhang, et al.
Published: (2023)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification
by: Yang, Xihong, et al.
Published: (2022)

Parameter-Free Clustering via Self-Supervised Consensus Maximization (Extended Version)
by: Zhang, Lijun, et al.
Published: (2025)

Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification
by: Zhang, Jiaxin, et al.
Published: (2026)

Deep Temporal Graph Clustering
by: Liu, Meng, et al.
Published: (2023)

Balanced Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets
by: Liu, Meng, et al.
Published: (2026)

Test-Time Training on Graphs with Large Language Models (LLMs)
by: Zhang, Jiaxin, et al.
Published: (2024)

Dual Test-time Training for Out-of-distribution Recommender System
by: Yang, Xihong, et al.
Published: (2024)

Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent
by: Ou, Qiyuan, et al.
Published: (2023)

CG-DMER: Hybrid Contrastive-Generative Framework for Disentangled Multimodal ECG Representation Learning
by: Niu, Ziwei, et al.
Published: (2026)

Learning Disentangled Representations for Generalized Multi-view Clustering
by: Zou, Xin, et al.
Published: (2026)

Deep Contrastive Multi-view Clustering under Semantic Feature Guidance
by: Liu, Siwen, et al.
Published: (2024)

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks
by: Zhibin Dong, et al.
Published: (2025)

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks (Adv. Sci. 22/2025)
by: Zhibin Dong, et al.
Published: (2025)

Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning
by: Wan, Xinhang, et al.
Published: (2025)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
by: Meng, Lingyuan, et al.
Published: (2023)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

Multi-view Deep Subspace Clustering Networks
by: Zhu, Pengfei, et al.
Published: (2019)

MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow
by: Wang, Ziyue, et al.
Published: (2025)

RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
by: Dong, Shihao, et al.
Published: (2025)

Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
by: Wei, Bingjun, et al.
Published: (2025)

One-Step Late Fusion Multi-view Clustering with Compressed Subspace
by: Ou, Qiyuan, et al.
Published: (2024)

Message Intercommunication for Inductive Relation Reasoning
by: Liang, Ke, et al.
Published: (2023)

Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
by: Wang, Zeli, et al.
Published: (2026)

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
by: Liu, Jiyuan, et al.
Published: (2024)

Multi-view Granular-ball Contrastive Clustering
by: Su, Peng, et al.
Published: (2024)

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
by: Chen, Yixi, et al.
Published: (2025)

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
by: Xu, Jie, et al.
Published: (2023)

MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging
by: Zhou, Jiaying, et al.
Published: (2024)

Introducing MELI: the Mandarin-English Language Interview Corpus
by: Liu, Suyuan, et al.
Published: (2026)

Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2026)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
by: Liang, Ke, et al.
Published: (2022)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
by: Yang, Xihong, et al.
Published: (2024)

Generative Diffusion Contrastive Network for Multi-View Clustering
by: Zhu, Jian, et al.
Published: (2025)