Xiaofeng Zhu
53 papers · 2014–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (10)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
π€
Dynamic Duo
(15)
π
Triple Crown
π
Keyword Champion
π
Grand Slam
π¬
Deep Specialist
(13)
ποΈ
Keyword Collector
(63)
π₯
Unstoppable
(9)
β‘
Prolific Year
(6)
β
The Questioner
(2)
π
Trend Setter
π
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
Research topics
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