Xiaofeng Zhu

15

Papers

67

Total Citations

Papers (15)

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention

Rethinking Chain-of-Thought from the Perspective of Self-Training

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather

Multiplex Graph Representation Learning with Homophily and Consistency

Self-Training Based Few-Shot Node Classification by Knowledge Distillation

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective

Multi-Level Feature Learning for Contrastive Multi-View Clustering

Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration