Xinwang Liu

37

Papers

134

Total Citations

Papers (37)

Deep Temporal Graph Clustering

Attribute-Missing Graph Clustering Network

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering

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

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance

Incremental Nyström-based Multiple Kernel Clustering

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering

Efficient Federated Incomplete Multi-View Clustering

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features

Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph

DisARM: Displacement Aware Relation Module for 3D Detection

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment

One-Pass Multi-View Clustering for Large-Scale Data

Localized Simple Multiple Kernel K-Means

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning

Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels

EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering

Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery

Knowledge Graph Completion with Relation-Aware Anchor Enhancement

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions