Feiyang Wang
7 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Architectures
(4)
Core Methods
(4)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Application Areas
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
representation learning
(3)
graph neural network
(3)
contrastive learning
(2)
self-supervised learning
(2)
decision boundary
(2)
adversarial attack
(2)
black-box attack
(1)
riemannian manifold
(1)
graph representation learning
(1)
riemannian geometry
(1)
binary search
(1)
graph clustering
(1)
query efficiency
(1)
deep neural network
(1)
dynamic graph
(1)
variational autoencoder
(1)
knowledge distillation
(1)
adversarial example
(1)
robustness evaluation
(1)
adversarial robustness
(1)
Papers
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
AAAI 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
UAI 2025
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
ICML 2025
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
IJCAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
AAAI 2023
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
AAAI 2021