2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
Chen Li, Huidong Tang, Ye Zhu +1
Generating molecules with desired chemical properties presents a critical challenge in fields such as chemical synthesis and drug discovery. Recent advancements in artificial intel…
cs.LG2024★ 1 cited
De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning
Chen Li, Yoshihiro Yamanishi
De novo generation of hit-like molecules is a challenging task in the drug discovery process. Most methods in previous studies learn the semantics and syntax of molecular structure…
q-bio.BM2024★ 2 cited
Molecular Generative Adversarial Network with Multi-Property Optimization
Huidong Tang, Chen Li, Sayaka Kamei +2
Deep generative models, such as generative adversarial networks (GANs), have been employed for molecular generation in drug discovery. Most prior studies have utilized re…