PPaperPicks

Xinwang Liu

National University of Defense Technology (NUDT), School of Computer, Changsha, China

80 papers at tracked venues · 73 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
  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. JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering (Extended Abstract)
  5. KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection
  6. Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
  7. Parameter-Free Clustering via Self-Supervised Consensus Maximization
  8. Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations
  9. ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
  10. TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models
  11. AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models
  12. AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation
  13. Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
  14. BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract)
  15. Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  16. Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  17. COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
  18. Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
  19. DGCBench: A Deep Graph Clustering Benchmark
  20. DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
  21. DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering
  22. DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation
  23. DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
  24. DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
  25. Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance
  26. Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
  27. EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
  28. EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering
  29. Efficient Federated Incomplete Multi-View Clustering
  30. Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
  31. FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing
  32. Find True Collaborators: Banzhaf Index-based Cross View Alignment for Partially View-aligned Clustering
  33. From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
  34. Generalized Deep Multi-View Clustering Via Causal Learning With Partially Aligned Cross-View Correspondence
  35. Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
  36. Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
  37. Incremental Nyström-based Multiple Kernel Clustering
  38. Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
  39. Knowledge Graph Completion with Relation-Aware Anchor Enhancement
  40. LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment
  41. Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels
  42. Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering
  43. Max-Mahalanobis Anchors Guidance for Multi-View Clustering
  44. Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data
  45. On the Adversarial Robustness of Multi-Kernel Clustering
  46. PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
  47. Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract)
  48. SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
  49. SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics
  50. Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
  51. Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
  52. Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
  53. Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
  54. Soft Reasoning Paths for Knowledge Graph Completion
  55. SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
  56. Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation
  57. Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
  58. VSumMamba: Mamba Empowered Efficient Video Summarization with Multi-Scale Spatial-Temporal Modeling
  59. A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering
  60. Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
  61. Attribute-Missing Graph Clustering Network
  62. Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering
  63. Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
  64. DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
  65. Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
  66. Deep Temporal Graph Clustering
  67. End-to-end Learnable Clustering for Intent Learning in Recommendation
  68. Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
  69. GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
  70. Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
  71. Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data
  72. Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering
  73. MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
  74. Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation
  75. Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
  76. Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
  77. Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning
  78. Test-Time Training on Graphs with Large Language Models (LLMs)
  79. Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
  80. View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering