Nannan Wu's Homepage

Nannan Wu (吴南楠)

Dual Ph.D. Student

Department of Computing,

The Hong Kong Polytechnic University

School of Electronic Information and Communications,

Huazhong University of Science and Technology

Email: <nannan.wu@connect.polyu.hk>, <wnn2000@hust.edu.cn>

Short Bio

Currently, I am a dual Ph.D. student at the Department of Computing, The Hong Kong Polytechnic University (PolyU) and the School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST). My doctoral research is guided by Prof. Changwen Chen, Prof. Li Yu, and Prof. Zengqiang Yan. Previously, I earned a B.Eng. degree from HUST in 2022.

My research interests are centered around trustworthy machine learning, with a current emphasis on federated learning.

News

[2023-06] I have been admitted as a dual Ph.D. student at The Hong Kong Polytechnic University.
[2023-05] I am invited to give a talk on fair federated learning by CSIG. [Link]
[2023-05] Two paper on federated learning are accepted at MICCAI 2024. Congrats to Zhaobin and Yangyang!
[2023-04] One paper on fair federated learning is accepted at IJCAI 2024.
[2024-01] I am invited to give a a on robust federated medical image segmentation against noise by AI Time. [Link]
[2023-12] Two papers are accepted at AAAI 2024.
[2023-08] I am invited to give a talk on federated noisy label learning by AI Time. [Link]
[2023-08] I attend IJCAI-23 at Macao and give oral and poster presentations.
[2023-07] I am invited as a reviewer of PRCV 2023.
[2023-05] One paper on federated class imbalanced learning is early accepted at MICCAI 2023.
[2023-04] One paper on federated noisy label learning is accepted at IJCAI 2023.

Publications

	FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity. Zhaobin Sun^, Nannan Wu^, JunJie Shi, Li Yu, Kwang-Ting Cheng, Zengqiang Yan. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. (CCF Rank B) (Early Accept, top 11% in all submissions) [paper] [code]
	FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. Yangyang Xiang^, Nannan Wu^, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. (CCF Rank B) (Early Accept, top 11% in all submissions) [paper] [code]
	From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. Nannan Wu, Zhuo Kuang, Zengqiang Yan, and Li Yu. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF Rank A) (Student Volunteer Program) [paper] [code]
	FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. Nannan Wu, Zhaobin Sun, Zengqiang Yan, and Li Yu. AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF Rank A) [paper] [code]
	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 Conference on Artificial Intelligence (AAAI), 2024. (CCF Rank A) [paper] [code]
	FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, and Zengqiang Yan. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (CCF Rank B) (Early Accept, top 14% in all submissions) [paper] [code]
	FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, and Zengqiang Yan. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF Rank A) [paper] [code]

Invited Talks

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching, at CSIG, May 2024. [Link (in Chinese)]

面向不平衡医学图像的联邦带噪学习, at AI Time, Aug 2023. [Link (in Chinese)]

标签质量感知的鲁棒联邦医学图像分割, at AI Time, Jan 2024. [Link (in Chinese)]

Professional Activities

Conference Service: Student Volunteer for IJCAI-24; Regular reviewers for PRCV-23, PRCV-24.

Journal Reviews: IEEE TETCI, Neural Networks

Selected Awards

PolyU Research Postgraduate Scholarship, in 2024.
Huazhong University of Science and Technology - China Optics Valley Morning Star Scholarship - Awarded to the top student among more than 400 undergraduates in the EIC, HUST, in 2021 (Top 0.25% award rate)
First Prize in the National Mathematics Competition for Undergraduate Students - Recognized nationally among peers, in 2020.
Zhuang Caifang & Zhuang Chongwen Scholarship - Awarded to one of the top students among over 200,000 high school graduates in Fujian Province, China, in 2018 (Top 0.1% award rate)