Xiaofeng Zhu

53 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (15) 👑 Triple Crown 🏆 Keyword Champion 🏆 Grand Slam 🔬 Deep Specialist (13) 🗃️ Keyword Collector (63) 🔥 Unstoppable (9) ⚡ Prolific Year (6) ❓ The Questioner (2) 📈 Trend Setter 💎 Century Club (49)

Conferences

IJCAI (17) AAAI (12) ICML (6) CVPR (5) ICCV (3) ICLR (3) ACL (2) EMNLP (2) NIPS (2) IJCNLP (1)

Top co-authors

Yujie Mo (15) Xiaoshuang Shi (15) Jie Xu (11) Yazhou Ren (8) Heng Tao Shen (7) Zongqian Wu (7) Ping Hu (6) Guoqiu Wen (6) Yonghua Zhu (6) Kaidi Xu (6)

Research topics

Probability (1)

Keywords

graph neural network (9) contrastive learning (9) representation learning (8) multi-view clustering (8) graph representation learning (7) node classification (5) unsupervised learning (5) multi-view learning (4) feature selection (4) self-supervised learning (4) multiplex graph (4) uncertainty quantification (3) conformal prediction (3) data augmentation (3) large language model (3) feature learning (2) point cloud (2) metric learning (2) meta learning (2) prompt learning (2)

Papers

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

Meta-GAIN for Missing Data Imputation AAAI 2026

Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis AAAI 2026

Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning IJCAI 2025

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025

SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025

Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs ACL 2025

Meta Label Correction with Generalization Regularizer IJCAI 2025

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather CVPR 2025

Graph Embedded Contrastive Learning for Multi-View Clustering IJCAI 2025

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation ICCV 2025

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention ICCV 2025

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters ICLR 2025

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning ICML 2025

Rethinking Chain-of-Thought from the Perspective of Self-Training ICML 2025

MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP IJCAI 2025

Multiplex Graph Representation Learning with Homophily and Consistency AAAI 2025

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NIPS 2024

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024

Self-Training Based Few-Shot Node Classification by Knowledge Distillation AAAI 2024

Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024

On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective ICML 2024

Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024

Simple Contrastive Multi-View Clustering with Data-Level Fusion IJCAI 2024

Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios CVPR 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024

A Universal Unbiased Method for Classification from Aggregate Observations 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

Disentangled Multiplex Graph Representation Learning ICML 2023

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration NIPS 2023

Totally Dynamic Hypergraph Neural Networks IJCAI 2023

Information Augmentation for Few-shot Node Classification IJCAI 2022

Multi-Level Feature Learning for Contrastive Multi-View Clustering CVPR 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity AAAI 2022

Simple Unsupervised Graph Representation Learning AAAI 2022

Multi-view Unsupervised Graph Representation Learning IJCAI 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 Graph Dimensionality Reduction IJCAI 2018

Robust Feature Selection on Incomplete Data 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