Meng Pang
9 papers · 2023–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(26)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Artificial Intelligence
(7)
Learning Types · Machine Learning
(6)
Architectures
(5)
Core AI
(5)
Application Areas
(4)
Computer Vision
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
graph neural network
(4)
adversarial attack
(2)
federated learning
(2)
poisoning attack
(2)
evasion attack
(2)
certified robustness
(1)
link prediction
(1)
representation learning
(1)
graph classification
(1)
domain adaptation
(1)
prototype learning
(1)
interpretability
(1)
knowledge distillation
(1)
adversarial training
(1)
reinforcement learning
(1)
graph embedding
(1)
image generation
(1)
parkinson's disease
(1)
black-box attack
(1)
privacy-preserving learning
(1)
Papers
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
AAAI 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
CVPR 2025
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
AAAI 2025
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
ICLR 2025
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
CVPR 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
ICCV 2025
Consistency-GAN: Training GANs with Consistency Model
AAAI 2024
Graph Neural Network Explanations are Fragile
ICML 2024
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
CVPR 2023