Wu, Nannan

11 publications

IJCAI 2025 Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao

AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang

ICML 2025 GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang

IJCAI 2024 Anomaly Subgraph Detection Through High-Order Sampling Contrastive Learning Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao

AAAI 2024 DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan

AAAI 2024 FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation Against Heterogeneous Annotation Noise Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu

IJCAI 2024 From Optimization to Generalization: Fair Federated Learning Against Quality Shift via Inter-Client Sharpness Matching Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu

IJCAI 2023 FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan

AAAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai

IJCAI 2017 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li

AAAI 2016 Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan