Search Results for author: Nannan Wu

Found 5 papers, 3 papers with code

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

1 code implementation20 Dec 2023 Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu

Specifically, noise estimation at each client is accomplished through the Gaussian mixture model and then incorporated into model aggregation in a layer-wise manner to up-weight high-quality clients.

Federated Learning Image Segmentation +4

FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

1 code implementation28 Jun 2022 Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan

In this paper, we present a privacy-preserving FL method named FedIIC to combat class imbalance from two perspectives: feature learning and classifier learning.

Contrastive Learning Federated Learning +3

FadMan: Federated Anomaly Detection across Multiple Attributed Networks

no code implementations27 May 2022 Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang

The proposed algorithm FadMan is a vertical federated learning framework for public node aligned with many private nodes of different features, and is validated on two tasks correlated anomaly detection on multiple attributed networks and anomaly detection on an attributeless network using five real-world datasets.

Anomaly Detection Data Integration +1

Example-based Real-time Clothing Synthesis for Virtual Agents

no code implementations8 Jan 2021 Nannan Wu, Qianwen Chao, Yanzhen Chen, Weiwei Xu, Chen Liu, Dinesh Manocha, Wenxin Sun, Yi Han, Xinran Yao, Xiaogang Jin

Given a query shape and pose of the virtual agent, we synthesize the resulting clothing deformation by blending the Taylor expansion results of nearby anchoring points.

Graphics

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