Quanqing Xu
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(27)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Application Areas
(4)
Core AI
(4)
Deep Learning
(3)
Core Methods
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types
(3)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Generation
(1)
Keywords
graph neural network
(2)
vertical federated learning
(2)
few-shot learning
(1)
domain adaptation
(1)
self-supervised learning
(1)
information retrieval
(1)
privacy preservation
(1)
constrained optimization
(1)
network inference
(1)
random walk
(1)
nonlinear regression
(1)
locality sensitive hashing
(1)
coreset construction
(1)
diffusion network
(1)
surrogate model
(1)
node classification
(1)
data efficiency
(1)
cross-domain retrieval
(1)
k-medoids clustering
(1)
benchmark framework
(1)
Papers
VABench: A Comprehensive Benchmark for Audio-Video Generation
CVPR 2026
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
IJCAI 2025
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
AAAI 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning
IJCAI 2025
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
ACL 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Learning Diffusions under Uncertainty
AAAI 2024