Nannan Wu
12 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (12)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(8)
🚀
Conference Pioneer
💎
Century Club
(12)
⚡
Prolific Year
(6)
Conferences
IJCAI (5)
AAAI (4)
MICCAI (2)
ICML (1)
Top co-authors
Keywords
contrastive learning
(3)
graph neural network
(3)
graph anomaly detection
(3)
federated learning
(3)
self-supervised learning
(2)
gaussian mixture model
(2)
medical image segmentation
(2)
graph transformer
(1)
class imbalance
(1)
model aggregation
(1)
attributed graph
(1)
vision transformer
(1)
knowledge distillation
(1)
model generalization
(1)
subgraph matching
(1)
image quality
(1)
graph mining
(1)
nonlinear optimization
(1)
medical imaging
(1)
semantic segmentation
(1)
Papers
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
IJCAI 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
AAAI 2025
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
ICML 2025
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
IJCAI 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
IJCAI 2024
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
MICCAI 2024
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
MICCAI 2024
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
AAAI 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
AAAI 2024
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
IJCAI 2023
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
AAAI 2019
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs
IJCAI 2017