5 citations · 5 across the 2 of their papers we have counts for
2 papers
quant-ph2025
QGHNN: A quantum graph Hamiltonian neural network
Wenxuan Wang
Representing and learning from graphs is essential for developing effective machine learning models tailored to non-Euclidean data. While Graph Neural Networks (GNNs) strive to add…
eess.AS2023★ 5 cited
Diffusion-Based Adversarial Purification for Speaker Verification
Yibo Bai, Xiao-Lei Zhang, Xuelong Li
Recently, automatic speaker verification (ASV) based on deep learning is easily contaminated by adversarial attacks, which is a new type of attack that injects imperceptible pertur…