PPaperPicks

En Zhu

35 papers at tracked venues · 34 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
  2. Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation
  3. Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations
  4. Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
  5. Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  6. COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
  7. Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models
  8. DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
  9. DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering
  10. DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
  11. Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance
  12. EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering
  13. Efficient Federated Incomplete Multi-View Clustering
  14. Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
  15. Generalized Deep Multi-View Clustering Via Causal Learning With Partially Aligned Cross-View Correspondence
  16. Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
  17. Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
  18. Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering
  19. Max-Mahalanobis Anchors Guidance for Multi-View Clustering
  20. Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data
  21. Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract)
  22. A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering
  23. A Non-parametric Graph Clustering Framework for Multi-View Data
  24. Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
  25. Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering
  26. DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
  27. Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
  28. Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
  29. GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
  30. Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering
  31. MDDR: Multi-modal Dual-Attention aggregation for Depression Recognition
  32. Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
  33. Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
  34. Test-Time Training on Graphs with Large Language Models (LLMs)
  35. View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering