PPaperPicks

Siwei Wang

College of Computer, National University of Defense Technology, Changsha, China

43 papers at tracked venues · 41 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
  2. Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering
  3. Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation
  4. Parameter-Free Clustering via Self-Supervised Consensus Maximization
  5. TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models
  6. Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
  7. Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  8. Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  9. COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation
  10. DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
  11. DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering
  12. Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance
  13. EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering
  14. Efficient Federated Incomplete Multi-View Clustering
  15. Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
  16. From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
  17. Generalized Deep Multi-View Clustering Via Causal Learning With Partially Aligned Cross-View Correspondence
  18. Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
  19. Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering
  20. Max-Mahalanobis Anchors Guidance for Multi-View Clustering
  21. Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
  22. Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data
  23. Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract)
  24. Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
  25. Soft Reasoning Paths for Knowledge Graph Completion
  26. Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
  27. A Non-parametric Graph Clustering Framework for Multi-View Data
  28. Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
  29. Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering
  30. Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
  31. DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
  32. Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
  33. Deep Temporal Graph Clustering
  34. Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
  35. GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
  36. Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering
  37. MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
  38. Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation
  39. Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
  40. Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning
  41. Test-Time Training on Graphs with Large Language Models (LLMs)
  42. Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
  43. View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering