Xiao Luo

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

2019 · IEEE Transactions on Medical Imaging

ABUS, or Automated breast ultrasound, is an innovative and promising method of screening for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains operator-independent image acquisition and also provides 3D views of the whole …

TGNN: A Joint Semi-supervised Framework for Graph-level Classification

2022

This paper studies semi-supervised graph classification, a crucial task with a wide range of applications in social network analysis and bioinformatics. Recent works typically adopt graph neural networks to learn graph-level representations for classification, failing …

Learning on Graphs under Label Noise

2023

Node classification on graphs is a significant task with a wide range of applications, including social analysis and anomaly detection. Even though graph neural networks (GNNs) have produced promising results on this task, current techniques …

SPORT: A Subgraph Perspective on Graph Classification with Label Noise

2024 · ACM Transactions on Knowledge Discovery from Data

Graph neural networks (GNNs) have achieved great success recently on graph classification tasks using supervised end-to-end training. Unfortunately, extensive noisy graph labels could exist in the real world because of the complicated processes of manual …