Ruili Li — accepted AI-conference papers

2025

BCS-Net: Multi-Task Breast Cancer Screening Network Enhanced by Multi-Modality Attention

Ruili Li, Ruiyu Li, Eichi Takaya, Zizhen Lin, Tomoya Kobayashi, Nanako Mtsuda +1

ICASSP 2025accepted

This study aims to enhance the performance of computer-aided screening systems in early breast cancer screening by adopting multi-modality and multi-task strategies. Therefore, we propose BCS-Net: Multi-Task Breast Cancer Screening Network Enhanced by Multi-modality Attention, which targets three ke…

Cited by 0 Source ↗Scholar ↗

2025

PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech Enhancement

Zizhen Lin, Junyu Wang, Ruili Li, Fei Shen, Xi Xuan

ICASSP 2025accepted

Single-channel speech enhancement is a challenging ill-posed problem focused on estimating clean speech from degraded signals. Existing studies have demonstrated the competitive performance of combining convolutional neural networks (CNNs) with Transformers in speech enhancement tasks. However, exis…

Cited by 16 Source ↗Scholar ↗