Meng Pang
9 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (26) 🐝 Cross-Pollinator (15)
⚡
Prolific Year
(6)
Conferences
AAAI (3)
CVPR (3)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
graph neural network
(2)
evasion attack
(2)
poisoning attack
(2)
federated learning
(2)
link prediction
(1)
certified robustness
(1)
representation learning
(1)
graph classification
(1)
reinforcement learning
(1)
prototype learning
(1)
knowledge distillation
(1)
adversarial training
(1)
privacy-preserving learning
(1)
parkinson's disease
(1)
black-box attack
(1)
domain adaptation
(1)
adversarial attack
(1)
diffusion model
(1)
randomized smoothing
(1)
graph embedding
(1)
Papers
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
ICCV 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
AAAI 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
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
CVPR 2025
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
CVPR 2025
Graph Neural Network Explanations are Fragile
ICML 2024
Consistency-GAN: Training GANs with Consistency Model
AAAI 2024
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
CVPR 2023