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Xiaofeng Zhu

Hainan University, School of Computer Science and Technology, Haikou, China

31 papers at tracked venues · 22 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
  2. Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition
  3. Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
  4. Meta-GAIN for Missing Data Imputation
  5. Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
  6. Graph Embedded Contrastive Learning for Multi-View Clustering
  7. HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
  8. MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP
  9. Meta Label Correction with Generalization Regularizer
  10. Multiplex Graph Representation Learning with Homophily and Consistency
  11. Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
  12. Rethinking Chain-of-Thought from the Perspective of Self-Training
  13. Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
  14. SConU: Selective Conformal Uncertainty in Large Language Models
  15. Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
  16. Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
  17. TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention
  18. ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models
  19. Adaptive Multi-Modality Prompt Learning
  20. An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
  21. Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
  22. ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
  23. Exploring the Role of Node Diversity in Directed Graph Representation Learning
  24. Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
  25. Multiplex Graph Representation Learning via Bi-level Optimization
  26. On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
  27. Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
  28. Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
  29. Self-Training Based Few-Shot Node Classification by Knowledge Distillation
  30. Simple Contrastive Multi-View Clustering with Data-Level Fusion
  31. Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation