Ph.D. Student - Nannan Wu

BS(HUST);

Research Interests

Computer Vision, Federated Learning

Honors & Awards

• PolyU Research Postgraduate Scholarship (2024)
• Huazhong University of Science and Technology - China Optics Valley Morning Star Scholarship (2021)

Selected Publications

Nannan Wu, Zhuo Kuang, Zengqiang Yan, and Li Yu: From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. IJCAI 2024. https://doi.org/10.24963/ijcai.2024/575.

Nannan Wu, Zhaobin Sun, Zengqiang Yan, and Li Yu: FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. AAAI 2024. https://doi.org/10.1609/aaai.v38i14.29525.

Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, and Zengqiang Yan: FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. IJCAI 2023. https://doi.org/10.24963/ijcai.2023/492.