Xiaofeng Zhu

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition AAAI 2026 Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data CVPR 2026 Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis AAAI 2026 Meta-GAIN for Missing Data Imputation AAAI 2026 Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation CVPR 2026 Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs ACL 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Graph Embedded Contrastive Learning for Multi-View Clustering IJCAI 2025 HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters ICLR 2025 MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP IJCAI 2025 Meta Label Correction with Generalization Regularizer IJCAI 2025 Multiplex Graph Representation Learning with Homophily and Consistency AAAI 2025 Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning ICML 2025 Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025 Rethinking Chain-of-Thought from the Perspective of Self-Training ICML 2025 Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation ICCV 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025 Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning IJCAI 2025 Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather CVPR 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention ICCV 2025 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024 Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios CVPR 2024 Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024 On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective ICML 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024 Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024 Self-Training Based Few-Shot Node Classification by Knowledge Distillation AAAI 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion IJCAI 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024 Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024 A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023 Disentangled Multiplex Graph Representation Learning ICML 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Multiplex Graph Representation Learning via Common and Private Information Mining AAAI 2023 Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration NeurIPS 2023 Totally Dynamic Hypergraph Neural Networks IJCAI 2023 Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity AAAI 2022 Information Augmentation for Few-shot Node Classification IJCAI 2022 Multi-Level Feature Learning for Contrastive Multi-View Clustering CVPR 2022 Multi-view Unsupervised Graph Representation Learning IJCAI 2022 Simple Unsupervised Graph Representation Learning AAAI 2022 Multi-scale Graph Fusion for Co-saliency Detection AAAI 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering ICCV 2021 Multi-graph Fusion for Functional Neuroimaging Biomarker Detection IJCAI 2020 Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information IJCAI 2019 Robust Feature Selection on Incomplete Data IJCAI 2018 Robust Graph Dimensionality Reduction IJCAI 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Adaptive Hypergraph Learning for Unsupervised Feature Selection IJCAI 2017 Semantic Document Distance Measures and Unsupervised Document Revision Detection IJCNLP 2017 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014