4 citations · 5 across the 2 of their papers we have counts for
2 papers
quant-ph2024★ 1 cited
iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation
Xue Yang, Rigui Zhou, ShiZheng Jia +6
Leveraging quantum computing's intrinsic properties to enhance machine learning has shown promise, with quantum generative adversarial networks (QGANs) demonstrating benefits in da…
cs.LG2024★ 4 cited
Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX
Zhiyuan Chen, Tianhao Chen, Chenggang Xie +4
Proteins are fundamental components of biological systems and can be represented through various modalities, including sequences, structures, and textual descriptions. Despite the…